# Best Generative AI Infrastructure Software

## How Many Generative AI Infrastructure Software Products Does G2 Track?

**Total Products under this Category:** 425

### Category Stats (Aug 2026)

- **Average Rating:** 4.5/5 (↓0.03 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** CalypsoAI (+7.5%) - Among all products in this category, CalypsoAI recorded the largest rating increase compared to last month

_Last updated: August 05, 2026_

## How Does G2 Rank Generative AI Infrastructure Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 7,800+ Authentic Reviews
- 425+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for Generative AI Infrastructure Software
 ![G2 Grid® for Generative AI Infrastructure Software plotting products by satisfaction and market presence](https://www.g2.com/categories/generative-ai-infrastructure/grids.png?focus%5B%5D=21469&focus%5B%5D=10470&focus%5B%5D=1321651&focus%5B%5D=1326008&focus%5B%5D=1336236&focus%5B%5D=1308795&focus%5B%5D=7150&focus%5B%5D=1453733)

Highlighted products: Gemini Enterprise Agent Platform, Databricks, AWS Bedrock, Langchain, Google Cloud AI Infrastructure, IBM watsonx.ai, Dataiku, and Wirestock.

Underlying data: [Grid® JSON](https://www.g2.com/categories/generative-ai-infrastructure/grids.json?focus%5B%5D=gemini-enterprise-agent-platform&focus%5B%5D=databricks&focus%5B%5D=aws-bedrock&focus%5B%5D=langchain&focus%5B%5D=google-cloud-ai-infrastructure&focus%5B%5D=ibm-watsonx-ai&focus%5B%5D=dataiku&focus%5B%5D=wirestock)

**Sponsored**

### Cloudera

Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=1006880&secure%5Bchosen_at%5D=2026-08-11T20%3A19%3A38Z&secure%5Bdisplayable_resource_id%5D=1006880&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1006880&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1886&secure%5Bresource_id%5D=1006880&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fgenerative-ai-infrastructure%3Fopen_modal_url%3D%252Fproducts%252Flift-ai-lift-ai%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fgenerative-ai-infrastructure%2526source%253Dcategory&secure%5Btoken%5D=2aefe202b946fd368cb79308d624bb446f16eb7b0175ba831751b47dbf18822e&secure%5Burl%5D=https%3A%2F%2Fwww.cloudera.com%2Fproducts%2Fcloudera-data-platform%2Fcdp-demos.html%3Finternal_link%3Dp18%23get-started&secure%5Burl_type%5D=custom_url)

### [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews)

Google Cloud's comprehensive platform for developers to build, scale, govern and optimize agents and models. It's a single destination for technical teams to build agents that can transform enterprise applications and workflows into powerful agentic systems.

**Average Rating:** 4.3/5.0

**Total Reviews:** 727

#### Who Is the Company Behind Gemini Enterprise Agent Platform?

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 employees on LinkedIn®
- **Ownership:** NASDAQ:GOOG

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Data Scientist
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 43% Small, 29% Large

#### What Do G2 Reviewers Say About Gemini Enterprise Agent Platform?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Gemini Enterprise Agent Platform, enhancing productivity and streamlining workflows effectively.
- Users value the **multimodal capabilities** of Gemini, enhancing productivity and streamlining machine learning workflows effectively.
- Users value the **multimodal capabilities** of Gemini, enhancing productivity through reduced manual work in projects.
- Users value the **multimodal capabilities** of Gemini, enhancing productivity by streamlining various tasks and processes.
- Users value the **integrated platform** of Gemini, enhancing productivity by combining various functionalities in a unified system.

##### Cons

- Users find the **pricing ambiguous** with unexpected costs, making budget management a challenge on the Gemini platform.
- Users find the platform's **complexity** ,particularly in navigation and advanced features, challenging, especially for beginners.
- The **learning curve is steep** for new users, especially with complex features and pricing transparency issues.
- Users find the **complexity issues** of the Gemini Enterprise Agent Platform lead to high costs and a steep learning curve.
- Users find the **difficult learning** curve of Gemini Enterprise Agent Platform challenging, especially for newcomers to Google Cloud.

#### What Are Recent G2 Reviews of Gemini Enterprise Agent Platform?

**["Easy AI Agent Creation"](https://www.g2.com/survey_responses/gemini-enterprise-agent-platform-review-13193916)**

**Rating:** 4.5/5.0 stars

_— Belhaje A._

[Read full review](https://www.g2.com/survey_responses/gemini-enterprise-agent-platform-review-13193916)

**["Helped us automate routine work and save hours every week"](https://www.g2.com/survey_responses/gemini-enterprise-agent-platform-review-13212825)**

**Rating:** 4.5/5.0 stars

_— Pavan Simhadri D._

[Read full review](https://www.g2.com/survey_responses/gemini-enterprise-agent-platform-review-13212825)

#### What Are G2 Users Discussing About Gemini Enterprise Agent Platform?

- [What is Google Cloud AI Platform used for?](https://www.g2.com/discussions/what-is-google-cloud-ai-platform-used-for) - 4 comments, 5 upvotes
- [What software libraries does cloud ML engine support?](https://www.g2.com/discussions/what-software-libraries-does-cloud-ml-engine-support) - 4 comments, 5 upvotes
- [How do I use Google cloud platform for machine learning?](https://www.g2.com/discussions/how-do-i-use-google-cloud-platform-for-machine-learning)
- [Is Google Cloud AI free?](https://www.g2.com/discussions/is-google-cloud-ai-free)
- [What is Google AI platform?](https://www.g2.com/discussions/what-is-google-ai-platform) - 3 comments, 3 upvotes

### [Databricks](https://www.g2.com/pt/products/databricks/reviews)

A Databricks é a empresa de Dados e IA. Mais de 20.000 organizações em todo o mundo — incluindo adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever e 70% das empresas da Fortune 500 — confiam na Plataforma de Dados + IA da Databricks para construir e escalar aplicativos de dados e IA, análises e agentes. Com sede em São Francisco e mais de 30 escritórios ao redor do mundo, a Databricks oferece uma plataforma unificada que inclui Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse e Unity Catalog. Fundada em 2013 pelos criadores originais do Apache Spark™, Delta Lake, MLflow e Unity Catalog, a Databricks é construída sobre uma arquitetura de lakehouse aberta que reúne dados, análises e IA. A plataforma é utilizada por engenheiros de dados, cientistas de dados, analistas, desenvolvedores, equipes de aprendizado de máquina, equipes de IA e usuários de negócios para colaborar em todo o ciclo de vida de dados e IA. As principais capacidades da Databricks incluem: - Engenharia de dados: Construa, automatize e gerencie pipelines de dados em lote, streaming e em tempo real de forma confiável. - Análise e inteligência de negócios: Execute análises SQL, crie painéis e permita que as equipes de negócios explorem dados. - Governança de dados: Descubra, proteja e gerencie dados e ativos de IA entre equipes, nuvens e cargas de trabalho. - Aprendizado de máquina e IA: Desenvolva modelos, construa aplicativos de IA generativa e crie agentes de IA em nível de produção. - Aplicações de dados: Construa e implante aplicativos orientados por dados usando dados empresariais governados. Disponível em AWS, Azure e Google Cloud, a Databricks ajuda as organizações a trabalhar entre nuvens, reduzir silos de dados e simplificar a colaboração entre equipes e ferramentas. Os clientes usam a Databricks para casos de uso como personalização de clientes, detecção de fraudes, manutenção preditiva, análises em tempo real, cibersegurança, pesquisa em saúde, gestão de risco financeiro, otimização da cadeia de suprimentos e tomada de decisões impulsionada por IA. A Databricks é utilizada em setores como serviços financeiros, saúde e ciências da vida, varejo, manufatura, energia e setor público. As organizações usam a plataforma para modernizar a infraestrutura de dados, acelerar a adoção de IA e transformar dados empresariais em valor de negócios.

**Average Rating:** 4.6/5.0

**Total Reviews:** 1,335

#### Who Is the Company Behind Databricks?

- **Vendedor:** [Databricks Inc.](https://www.g2.com/pt/sellers/databricks-inc)
- **Website da Empresa:** databricks.com
- **Ano de Fundação:** 2013
- **Localização da Sede:** San Francisco, CA
- **Twitter:** @databricks  
92,269 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bddca64732f61b923d96364e8c8eb35711aab4f98797cb00ab071ff24fbdd392&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3477522%2F&secure%5Burl_type%5D=linkedin_company_website)  
15,627 funcionários no LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Engenheiro de Dados, Analista de Dados
- **Top Industries:** Tecnologia da Informação e Serviços, Serviços Financeiros
- **Company Size:** 47% Large, 38% Medium

#### What Do G2 Reviewers Say About Databricks?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários elogiam a **facilidade de uso** e os **recursos abrangentes** do Databricks para armazenamento de dados e aplicações de ML.
- Os usuários elogiam a **facilidade de uso** do Databricks, melhorando sua experiência com interfaces intuitivas e serviços confiáveis.
- Os usuários apreciam as **integrações perfeitas** do Databricks com a AWS e outras ferramentas, melhorando as operações diárias e a eficiência.
- Os usuários valorizam a **colaboração perfeita** oferecida pelo Databricks, aprimorando o trabalho em equipe em projetos de dados com insights em tempo real.
- Os usuários elogiam os **recursos analíticos integrados** do Databricks, que melhoram o processamento colaborativo de dados e a visualização de insights.

##### Cons

- Os usuários observam uma **curva de aprendizado acentuada** inicialmente, com permissões confusas e modos de computação afetando a usabilidade.
- Os usuários observam que os **custos podem ser bastante altos** para utilizar o Databricks de forma eficaz, especialmente para grandes projetos de dados.
- Os usuários encontram uma **curva de aprendizado íngreme** com o Databricks, especialmente desafiadora para os novatos em ferramentas de big data.
- Os usuários acham a **complexidade** do Databricks desafiadora, especialmente para equipes menores e processos de configuração inicial.
- Os usuários enfrentam desafios de **configuração complexa** inicialmente, embora o suporte ajude a simplificar a experiência ao longo do tempo.

#### What Are Recent G2 Reviews of Databricks?

**["Plataforma Confiável para Construir Pipelines de Dados Escaláveis"](https://www.g2.com/pt/survey_responses/databricks-review-13198355)**

**Rating:** 5.0/5.0 stars

_— aravind k._

[Read full review](https://www.g2.com/pt/survey_responses/databricks-review-13198355)

**["Databricks simplifica ETL e análises com notebooks escaláveis"](https://www.g2.com/pt/survey_responses/databricks-review-13181721)**

**Rating:** 5.0/5.0 stars

_— Diana C._

[Read full review](https://www.g2.com/pt/survey_responses/databricks-review-13181721)

#### What Are G2 Users Discussing About Databricks?

- [What does Databricks software do?](https://www.g2.com/pt/discussions/what-does-databricks-software-do) - 3 comments, 1 upvote
- [O que é a plataforma de análise unificada da Databricks?](https://www.g2.com/pt/discussions/what-is-databricks-unified-analytics-platform) - 3 comments
- [O que é Lakehouse no Databricks?](https://www.g2.com/pt/discussions/what-is-lakehouse-in-databricks) - 4 comments, 2 upvotes
- [Quais são os recursos do Databricks?](https://www.g2.com/pt/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes

### [AWS Bedrock](https://www.g2.com/products/aws-bedrock/reviews)

Amazon Bedrock is a fully managed service that enables organizations to build and scale generative AI applications using foundation models (FMs) from leading AI companies and Amazon. It provides a unified API to access a diverse selection of high-performing FMs, allowing users to experiment, customize, and deploy AI solutions without managing infrastructure. With Amazon Bedrock, businesses can create personalized experiences, automate workflows, and derive actionable insights, all while maintaining security, privacy, and compliance standards. Key Features and Functionality: - Model Choice: Access a wide range of FMs from top AI providers, enabling selection of the most suitable model for specific use cases. - Agent Development: Utilize Amazon Bedrock AgentCore to build, deploy, and operate AI agents securely at scale, facilitating complex task automation. - Customization: Tailor models with proprietary data using tools like Knowledge Bases, Data Automation, prompt engineering, and fine-tuning to enhance relevance and accuracy. - Safety and Guardrails: Implement safeguards with Bedrock Guardrails to filter harmful content and ensure responsible AI usage, supporting compliance with industry standards. - Cost Optimization: Optimize performance and expenses through features like Model Distillation and Intelligent Prompt Routing, balancing cost, latency, and accuracy. Primary Value and Solutions Provided: Amazon Bedrock empowers organizations to rapidly develop and deploy generative AI applications without the complexities of infrastructure management. By offering a diverse selection of foundation models and comprehensive customization tools, it enables businesses to create AI solutions tailored to their unique needs. The platform's robust security measures and compliance support ensure that applications are built responsibly, addressing concerns around data privacy and ethical AI usage. Ultimately, Amazon Bedrock facilitates innovation, enhances operational efficiency, and drives real business impact through scalable and secure AI integration.

**Average Rating:** 4.3/5.0

**Total Reviews:** 76

#### Who Is the Company Behind AWS Bedrock?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 49% Large, 32% Medium

#### What Do G2 Reviewers Say About AWS Bedrock?

_AI-generated summary from verified user reviews_

##### Pros

- Users find AWS Bedrock's **ease of use** invaluable, especially with its unified API and serverless architecture.
- Users value the **variety of models** in AWS Bedrock, enabling tailored solutions for diverse use cases.
- Users appreciate the **easy integrations** of AWS Bedrock, making it simple to switch models and streamline workflows.
- Users value the **ease of use and security** of AWS Bedrock, enhancing inspiration and productivity in generative AI applications.
- Users value the **unified API** of AWS Bedrock, enabling seamless model switching and easy integrations within AWS.

##### Cons

- Users find AWS Bedrock **expensive** , especially for large-scale operations and niche applications requiring extensive customization.
- Users find the **complexity issues** of AWS Bedrock challenging, especially for newcomers and niche use cases.
- Users face **model issues** with AWS Bedrock, including high costs and limited availability of popular models.
- Users find the **steep learning curve** of AWS Bedrock challenging, particularly for those new to AWS services.
- Users express frustration over the **limited access** to models in AWS Bedrock, impacting customization and availability.

#### What Are Recent G2 Reviews of AWS Bedrock?

**["Flexible, Governed Access to Multiple Foundation Models in AWS Bedrock"](https://www.g2.com/survey_responses/aws-bedrock-review-12992839)**

**Rating:** 4.5/5.0 stars

_— Athira G._

[Read full review](https://www.g2.com/survey_responses/aws-bedrock-review-12992839)

**["Enterprise-Ready Generative AI with Multiple Foundation Models in One Managed Service"](https://www.g2.com/survey_responses/aws-bedrock-review-13160296)**

**Rating:** 4.5/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/survey_responses/aws-bedrock-review-13160296)

### [Langchain](https://www.g2.com/products/langchain/reviews)

LangChain is an open-source framework designed to simplify the development of applications powered by large language models (LLMs). By providing a suite of tools and abstractions, LangChain enables developers to build context-aware, reasoning applications such as chatbots, question-answering systems, and content generators. Its modular architecture allows for seamless integration with various LLMs, including those from OpenAI, Anthropic, and Cohere, facilitating the creation of sophisticated AI-driven solutions. Key Features and Functionality: - Modular Components: LangChain offers isolated modules for model input/output, prompt templates, and retrieval mechanisms, allowing developers to customize and extend functionalities as needed. - Agent Framework: The framework supports the creation of agents that can make decisions and perform tasks based on user inputs, enhancing the interactivity and utility of applications. - Memory Management: LangChain provides both short-term and long-term memory capabilities, enabling applications to maintain context over extended interactions. - Extensive Integrations: With over 1,000 integrations, LangChain allows developers to connect with various models, tools, and databases without the need to rewrite application code, ensuring flexibility and future-proofing. - Durable Runtime: Built on LangGraph’s durable runtime, LangChain ensures agents have built-in persistence, rewind capabilities, checkpointing, and support for human-in-the-loop interactions. Primary Value and Problem Solving: LangChain addresses the challenges developers face when integrating LLMs into applications by offering a structured and efficient approach to building AI-driven solutions. It streamlines the development process, reduces the complexity associated with managing interactions between various components, and provides the flexibility to adapt to evolving AI technologies. By leveraging LangChain, developers can rapidly deploy reliable and scalable AI applications that are capable of understanding and responding to complex user inputs, thereby enhancing user experiences and operational efficiency.

**Average Rating:** 4.5/5.0

**Total Reviews:** 91

#### Who Is the Company Behind Langchain?

- **Seller:** [Langchain](https://www.g2.com/sellers/langchain)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d903c2874b28b2fffbe32f9106ce307331a18248d360f67494abd9cc22fd7ca4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Flangchain%2F&secure%5Burl_type%5D=linkedin_company_website)  
399 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Developer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 42% Small, 29% Medium

#### What Do G2 Reviewers Say About Langchain?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Langchain's **ease of use** invaluable for quickly building complex AI applications with various integrations.
- Users appreciate the **easy integrations** of Langchain, enabling seamless connections between LLMs and various APIs.
- Users appreciate the **user-friendly features** of Langchain, making powerful capabilities accessible to those with basic AI knowledge.
- Users admire the **seamless integrations** of LangChain, which enhance efficiency in developing AI applications and workflows.
- Users appreciate the **customization capabilities** of LangChain, enabling tailored AI solutions while simplifying app development.

##### Cons

- Users find **complexity issues** with Langchain, citing heavy abstractions and a steep learning curve that hinder productivity.
- Users find Langchain's **steep learning curve** overwhelming, requiring deep knowledge of its components and frequent API changes.
- Users find the **poor documentation** of LangChain confusing and outdated, complicating their development process.
- Users struggle with **software instability** due to frequent breaking changes that complicate long-term project maintenance.
- Users find **error handling challenging** in Langchain, complicating debugging and increasing frustration with nested components.

#### What Are Recent G2 Reviews of Langchain?

**["LangChain’s Wide Integrations and RAG Abstractions Save Huge Development Time"](https://www.g2.com/survey_responses/langchain-review-13232065)**

**Rating:** 5.0/5.0 stars

_— Aswin K._

[Read full review](https://www.g2.com/survey_responses/langchain-review-13232065)

**["LangChain Streamlined Our Support Assistant Pipeline with Smooth Integrations"](https://www.g2.com/survey_responses/langchain-review-13237830)**

**Rating:** 4.5/5.0 stars

_— Muhammed A._

[Read full review](https://www.g2.com/survey_responses/langchain-review-13237830)

## FAQs About Generative AI Infrastructure Software

Generated using AI

Last updated: April 27, 2026

### What what's the best generative AI platform for app development?

Based on G2 reviews, these products are frequently highlighted for building and deploying AI applications.

- [Vertex AI](https://www.g2.com/products/google-vertex-ai/reviews) -- Reviewers use it to build, test, deploy, and monitor AI applications in one place, with strong support for model experimentation and app integration.
- [Databricks](https://www.g2.com/products/databricks/reviews) -- Users describe it as a unified environment for data engineering, analytics, and AI workflows, helping teams move from pipelines to production use cases faster.
- [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews) -- Reviewers mention using it to build enterprise AI solutions with prompt testing, model tuning, deployment workflows, and governance in one platform.

### What leading generative AI tools for enterprise applications?

Based on G2 reviews, these products are commonly used for enterprise AI deployment, governance, and cross-team collaboration.

- [Vertex AI](https://www.g2.com/products/google-vertex-ai/reviews) -- Users highlight its managed infrastructure, model deployment, monitoring, and integrations with other Google Cloud services for production AI applications.
- [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews) -- Reviewers often point to governance, prompt labs, tuning workflows, and enterprise-ready deployment support for production AI systems.
- [Databricks](https://www.g2.com/products/databricks/reviews) -- Teams use it to unify data, analytics, and machine learning work in one governed environment for large-scale enterprise initiatives.

### What top generative AI software providers for small businesses?

Based on G2 reviews, these products stand out for approachable setup, flexibility, and support for smaller teams.

- [Botpress](https://www.g2.com/products/botpress/reviews) -- Reviewers describe it as accessible for building chatbots and AI agents with flexible integrations, low-code workflows, and budget-friendly entry points.
- [Lyzr.ai](https://www.g2.com/products/lyzr-lyzr-ai/reviews) -- Users say it is easy to deploy, fast for prototyping AI automations, and helpful for teams that want quick implementation without heavy engineering overhead.
- [Wiro](https://www.g2.com/products/wiro/reviews) -- Reviewers emphasize easy setup, one API for multiple models, and support for smaller teams building content, media, and application workflows.

### What is the best generative ai infrastructure software?

Based on G2 reviews, these products are most often associated with scalable infrastructure, deployment workflows, and production readiness.

- [Google Cloud AI Infrastructure](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews) -- Reviewers consistently mention scalable GPU and TPU resources, strong performance for training and inference, and integration with broader Google Cloud services.
- [Vertex AI](https://www.g2.com/products/google-vertex-ai/reviews) -- Users describe it as a managed platform that reduces infrastructure overhead by combining experimentation, deployment, monitoring, and model access.
- [Databricks](https://www.g2.com/products/databricks/reviews) -- Reviewers highlight its unified workspace for pipelines, analytics, and AI workloads, helping teams reduce tool sprawl and manage production data workflows.

### How do buyers compare ease of setup and cost visibility in generative AI infrastructure?

Across recent G2 reviews, buyers often weigh two themes together: how quickly teams can get started and how easy ongoing costs are to understand. Reviewers praise platforms that centralize training, deployment, and integrations because they reduce setup friction and make experimentation faster. At the same time, many users call out pricing complexity, especially when multiple services, compute choices, or usage-based billing are involved. Cost predictability, documentation quality, and onboarding guidance repeatedly appear as decision factors. In this category, buyers seem to favor products that balance strong scalability and flexibility with clearer administration, easier navigation, and better visibility into resource usage during day-to-day operations.

### [Google Cloud AI Infrastructure](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews)

Google Cloud AI Infrastructure offers a scalable, high-performance, and cost-effective platform tailored for diverse AI workloads, encompassing both training and inference tasks. By integrating advanced hardware accelerators such as GPUs and TPUs with managed services like Vertex AI and Google Kubernetes Engine (GKE), it enables efficient development, deployment, and scaling of AI models. Key Features and Functionality: - Flexible and Scalable Hardware: Provides a wide range of AI-optimized compute options, including GPUs, TPUs, and CPUs, to accommodate various AI workloads from high-performance training to low-cost inference. - Managed Infrastructure Services: Utilizes Vertex AI and GKE to streamline the setup of machine learning environments, automate orchestration, manage large clusters, and deploy low-latency applications efficiently. - Support for Popular AI Frameworks: Offers compatibility with leading AI frameworks such as TensorFlow, PyTorch, and MXNet, allowing developers to work within their preferred environments without constraints. - Global Scalability: Built upon Google Cloud's Jupiter data center network, it delivers the global scale and performance required for high-intensity AI workloads, supporting services that cater to billions of users. Primary Value and Problem Solved: Google Cloud AI Infrastructure addresses the challenges of developing and deploying AI models by providing a robust, scalable, and cost-effective platform. It simplifies the orchestration of large-scale AI workloads, enhances development productivity, and ensures optimal performance and cost efficiency. By offering a flexible and open platform with support for various AI frameworks and hardware accelerators, it empowers organizations to innovate and scale their AI solutions effectively.

**Average Rating:** 4.5/5.0

**Total Reviews:** 45

#### Who Is the Company Behind Google Cloud AI Infrastructure?

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 employees on LinkedIn®
- **Ownership:** NASDAQ:GOOG

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 49% Small, 38% Medium

#### What Do G2 Reviewers Say About Google Cloud AI Infrastructure?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **unmatched scalability** of Google Cloud AI Infrastructure, facilitating efficient training and deployment of AI models.
- Users appreciate the **high-performance computing power** of Google Cloud AI Infrastructure for efficient AI model training and deployment.
- Users appreciate the **ease of use** of Google Cloud AI Infrastructure, streamlining workflows and enhancing productivity seamlessly.
- Users value the **seamless integration** with other Google Cloud tools, enhancing their AI model management experience.
- Users appreciate the **high-performance TPUs and seamless integration** of Google Cloud AI Infrastructure, enhancing their AI development experience.

##### Cons

- Users find Google Cloud AI Infrastructure to be **expensive** , especially for large projects due to complex pricing and management.
- Users find the **steep learning curve** challenging, as it requires significant expertise to use Google Cloud AI Infrastructure effectively.
- Users struggle with the **complexity of pricing and setup** , making it challenging for new users to scale effectively.
- Users often find the **poor documentation** of Google Cloud AI Infrastructure challenging, especially for non-engineering teams.
- Users note the **technical expertise required** to navigate Google Cloud AI Infrastructure, making it challenging for newcomers.

#### What Are Recent G2 Reviews of Google Cloud AI Infrastructure?

**["Powerful AI Tools and Scalability with Excellent Documentation on Google Cloud"](https://www.g2.com/survey_responses/google-cloud-ai-infrastructure-review-11803619)**

**Rating:** 4.0/5.0 stars

_— Neha J._

[Read full review](https://www.g2.com/survey_responses/google-cloud-ai-infrastructure-review-11803619)

**["Excellent toolbox for AI implementation in the cloud"](https://www.g2.com/survey_responses/google-cloud-ai-infrastructure-review-11775940)**

**Rating:** 4.5/5.0 stars

_— Luis M._

[Read full review](https://www.g2.com/survey_responses/google-cloud-ai-infrastructure-review-11775940)

### [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews)

Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI lifecycle. With watsonx.ai, you can build, train, validate, tune and deploy generative AI, foundation models and machine learning capabilities with ease and build AI applications in a fraction of the time with a fraction of the data.

**Average Rating:** 4.4/5.0

**Total Reviews:** 141

#### Who Is the Company Behind IBM watsonx.ai?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Company Website:** www.ibm.com
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Consultant
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 41% Small, 31% Large

#### What Do G2 Reviewers Say About IBM watsonx.ai?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** in IBM watsonx.ai, facilitating quicker AI integration and effective management.
- Users appreciate the **model variety** of IBM watsonx.ai, enabling customized training on existing models for enhanced performance.
- Users appreciate the **seamless integration of enterprise-grade AI** in IBM watsonx.ai, enhancing decision-making and workflow efficiency.
- Users appreciate the **enterprise-grade integrated studio** of IBM watsonx.ai for seamless AI training and reliable insights.
- Users value the **enterprise-grade AI integration** of IBM watsonx.ai, enhancing decision-making and business operations efficiently.

##### Cons

- Users find the **difficult learning** curve of IBM watsonx.ai daunting, making it less accessible for newcomers and smaller teams.
- Users find the **complex setup** of IBM watsonx.ai challenging, making it less suitable for small teams and beginners.
- Users find the **steep learning curve** of IBM watsonx.ai challenging, making it less accessible for non-technical teams.
- Users find the product **expensive** and challenging for small teams, citing high costs and complex setup requirements.
- Users find the **complex setup** of IBM watsonx.ai challenging, especially for beginners and small teams.

#### What Are Recent G2 Reviews of IBM watsonx.ai?

**["Comprehensive One-Stop Platform for Building and Testing AI Workflows"](https://www.g2.com/survey_responses/ibm-watsonx-ai-review-13196706)**

**Rating:** 4.0/5.0 stars

_— Manish D._

[Read full review](https://www.g2.com/survey_responses/ibm-watsonx-ai-review-13196706)

**["Unified, Governed AI Studio with Strong Performance and Seamless IBM Integrations"](https://www.g2.com/survey_responses/ibm-watsonx-ai-review-13184421)**

**Rating:** 4.0/5.0 stars

_— Manan S._

[Read full review](https://www.g2.com/survey_responses/ibm-watsonx-ai-review-13184421)

### [Dataiku](https://www.g2.com/pt/products/dataiku/reviews)

Dataiku é a Plataforma para o Sucesso em IA: a camada de orquestração de IA onde as empresas constroem, implantam e governam análises, modelos e agentes em escala. Ela se posiciona sobre as plataformas de dados, nuvens e serviços de IA que você já utiliza, funcionando em todos eles sem prendê-lo a nenhum. Dataiku amplia quem pode construir IA de produção, colocando as ferramentas certas nas mãos de cientistas de dados e especialistas de domínio, desde analistas de fraude até planejadores de demanda. Ela orquestra aprendizado de máquina, regras, LLMs e agentes como um sistema governado, construído com base em mais de uma década de execução de IA em produção. A governança é parte da construção, em vez de algo adicionado posteriormente, permitindo que as equipes entreguem mais rápido enquanto mantêm o desempenho, custo e risco sob controle. O resultado: IA que passa da experimentação para uma execução confiável e mensurável agora, não em 18 meses.

**Average Rating:** 4.4/5.0

**Total Reviews:** 213

#### Who Is the Company Behind Dataiku?

- **Vendedor:** [Dataiku](https://www.g2.com/pt/sellers/dataiku)
- **Website da Empresa:** Dataiku.com
- **Ano de Fundação:** 2013
- **Localização da Sede:** New York, NY
- **Twitter:** @dataiku  
22,917 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e59ec8fccc02ecc4f883419e54da56d3f6fc8b1e556153f0cc01cd05e3b77faa&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdataiku%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,619 funcionários no LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Cientista de Dados, Analista de Dados
- **Top Industries:** Serviços Financeiros, Farmacêuticos
- **Company Size:** 60% Large, 22% Medium

#### What Do G2 Reviewers Say About Dataiku?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários apreciam como o Dataiku facilita o **desenvolvimento fácil de ML** , permitindo o foco na construção de modelos sem a complexidade.
- Os usuários adoram a **facilidade de uso** no Dataiku, simplificando tarefas complexas e aprimorando sua experiência de análise de dados.
- Os usuários apreciam a **facilidade de uso** no Dataiku, permitindo a colaboração tanto para usuários técnicos quanto não técnicos.
- Os usuários apreciam as **integrações fáceis** do Dataiku, facilitando a colaboração e implantação suave entre várias ferramentas de análise.
- Os usuários se beneficiam da **melhoria de produtividade** do Dataiku, permitindo um desenvolvimento de projetos mais rápido e um crescimento profissional aprimorado.

##### Cons

- Os usuários acham a **curva de aprendizado íngreme** do Dataiku desafiadora, tornando difícil para os iniciantes dominarem a plataforma.
- Os usuários acham a **curva de aprendizado íngreme** desafiadora para iniciantes, impactando sua capacidade de usar o Dataiku de forma eficaz.
- Os usuários acham a **curva de aprendizado difícil** desafiadora, especialmente para iniciantes que navegam por recursos avançados.
- Os usuários experimentam **desempenho lento** com o Dataiku ao lidar com grandes conjuntos de dados, afetando a eficiência e a produtividade.
- Os usuários acham o Dataiku **caro** , especialmente para organizações e projetos menores, impactando a acessibilidade e a acessibilidade econômica.

#### What Are Recent G2 Reviews of Dataiku?

**["Plataforma Unificada de Baixo Código que Aumenta a Produtividade de Dados e IA de Ponta a Ponta"](https://www.g2.com/pt/survey_responses/dataiku-review-13125252)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/pt/survey_responses/dataiku-review-13125252)

**["Construa fluxos de trabalho mais rápidos com dados conectados de muitos provedores ou fontes de dados distintas"](https://www.g2.com/pt/survey_responses/dataiku-review-13120436)**

**Rating:** 4.5/5.0 stars

_— Adalberto G._

[Read full review](https://www.g2.com/pt/survey_responses/dataiku-review-13120436)

#### What Are G2 Users Discussing About Dataiku?

- [Is Dataiku an ETL tool?](https://www.g2.com/pt/discussions/is-dataiku-an-etl-tool)
- [Is Dataiku web based?](https://www.g2.com/pt/discussions/is-dataiku-web-based)
- [What is DSS Dataiku?](https://www.g2.com/pt/discussions/what-is-dss-dataiku)
- [What is Dataiku DSS used for?](https://www.g2.com/pt/discussions/what-is-dataiku-dss-used-for)

### [Wirestock](https://www.g2.com/products/wirestock/reviews)

AI models are only as good as the data they are trained on. That’s why Wirestock works with a global community of contributors to produce vetted multimodal data including image, video, design, music and more. Wirestock delivers both ready-to-use datasets and custom content built around specific training goals. We work directly with AI teams to define needs and produce what models require to perform advanced creative tasks. Creators understand what their work is utilized for, and how they will be compensated for it. AI partners know their data is legitimate, high-quality, and ethically sourced. This shared transparency builds trust on both sides. No matter where you are in your creative path, your work belongs here. We connect talent across photography, video and filmmaking, graphic and motion design, 3D modeling, and more disciplines to work on creative projects that build next generation technology. Creators are compensated for every creative contribution as it is licensed to power industry-leading AI models. Valuing creative talent and respecting the ethics behind each piece of content is core to our values.

**Average Rating:** 4.9/5.0

**Total Reviews:** 30

#### Who Is the Company Behind Wirestock?

- **Seller:** [Wirestock](https://www.g2.com/sellers/wirestock)
- **Year Founded:** 2019
- **HQ Location:** San Jose, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=83d9477201eea6ff9252d6b7b58b804dfd5be0c2f30ad173cf637c0971a18e8f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fwirestock&secure%5Burl_type%5D=linkedin_company_website)  
495 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Photography
- **Company Size:** 68% Small, 16% Medium

#### What Do G2 Reviewers Say About Wirestock?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **quick and friendly customer support** from Wirestock, enhancing their overall experience as creators.
- Users find Wirestock offers **exceptional ease of use** , simplifying workflows and enhancing creativity for content creators.
- Users praise Wirestock for its **exceptional efficiency** , streamlining processes and enhancing creativity without the manual burden.
- Users value the **effective collaboration** and support from Wirestock, enhancing their creative and professional growth.
- Users commend the **easy setup** of Wirestock, finding it straightforward and a major convenience to start working.

##### Cons

- Users find the **limited hours** of communication frustrating, especially when managers are slow to respond during weekdays.
- Users find the **monthly upload limit restrictive** , hindering their ability to upload more content efficiently.
- Users feel that the **poor UI** detracts from the overall experience, suggesting a need for a more intuitive design.
- Users express frustration over the **lack of constant workload** with the Wirestock Data Platform affecting their productivity.
- Users find the **slow performance** frustrating, as it hampers their ability to upload and process content efficiently.

#### What Are Recent G2 Reviews of Wirestock?

**["Streamlined Workflow, Quality Content and a Truly Supportive Wirestock Team"](https://www.g2.com/survey_responses/wirestock-review-12634326)**

**Rating:** 5.0/5.0 stars

_— Argyro T._

[Read full review](https://www.g2.com/survey_responses/wirestock-review-12634326)

**["Wirestock Makes Multi-Marketplace Uploading Fast and Effortless"](https://www.g2.com/survey_responses/wirestock-review-13129194)**

**Rating:** 4.0/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/wirestock-review-13129194)

### [Elasticsearch](https://www.g2.com/pt/products/elastic-elasticsearch/reviews)

Construa experiências de busca de próxima geração para seus clientes e funcionários que apoiem os objetivos tecnológicos da sua organização. O Elasticsearch oferece aos desenvolvedores um kit de ferramentas flexível para criar aplicativos de busca com inteligência artificial em uma plataforma extensível que também fornece capacidades prontas para uso. Economize ciclos de desenvolvimento e leve uma busca aprimorada ao mercado mais rapidamente. O Elasticsearch é o motor de busca mais popular do mundo, apoiado por uma comunidade robusta de desenvolvedores. A plataforma da Elastic permite que você ingira qualquer fonte de dados, construa experiências de busca modernas que se integrem com modelos de linguagem de grande escala e IA generativa, e visualize análises para tomada de decisões e insights baseados em dados. Nossos investimentos consistentes em aprendizado de máquina ajudam os desenvolvedores a se manterem à frente com buscas rápidas e altamente relevantes, em escala. -- Plataforma e kit de ferramentas flexíveis para oferecer funcionalidades de busca poderosas, independentemente dos recursos de desenvolvimento e objetivos tecnológicos. Nossa plataforma aberta oferece funcionalidade consistente para implantações em nuvem, híbridas ou locais, com desempenho, confiabilidade e escalabilidade excepcionais. -- Ferramentas de análise de busca e visualização integradas dão às equipes acesso a dados de busca e painéis em tempo real para otimizar resultados e operações de busca. Equipes não técnicas também podem ajustar experiências de busca – sem necessidade de equipe de desenvolvimento. -- Relevância de busca de próximo nível usando busca textual, busca vetorial, híbrida e semântica e flexibilidade de modelos de aprendizado de máquina. Capacidades poderosas como um banco de dados vetorial fornecem a base para criar, armazenar e buscar embeddings para capturar o contexto dos seus dados não estruturados. Use inferência habilitada por aprendizado de máquina na ingestão de dados e traga seu próprio modelo - aberto ou proprietário - para oferecer os melhores resultados específicos da indústria.

**Average Rating:** 4.5/5.0

**Total Reviews:** 288

#### Who Is the Company Behind Elasticsearch?

- **Vendedor:** [Elastic](https://www.g2.com/pt/sellers/elastic)
- **Website da Empresa:** www.elastic.co
- **Ano de Fundação:** 2012
- **Localização da Sede:** San Francisco, CA
- **Twitter:** @elastic  
65,200 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bc8e533876f16af617380aaa3922cb6a39a1d6233f0b32a0fa987a5fdffd799e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F814025%2F&secure%5Burl_type%5D=linkedin_company_website)  
5,079 funcionários no LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Engenheiro de Software, Engenheiro de Software Sênior
- **Top Industries:** Software de Computador, Tecnologia da Informação e Serviços
- **Company Size:** 38% Medium, 33% Large

#### What Do G2 Reviewers Say About Elasticsearch?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários acham o Elasticsearch extremamente **fácil de usar** , melhorando suas capacidades de integração e observabilidade sem esforço.
- Os usuários elogiam o Elasticsearch por sua **velocidade impressionante** , lidando eficientemente com grandes conjuntos de dados e garantindo uma escalabilidade suave.
- Os usuários valorizam **capacidades de busca rápida** no Elasticsearch, permitindo acesso rápido a grandes conjuntos de dados e operações simplificadas.
- Os usuários acham o **desempenho extremamente rápido** e a documentação completa do Elasticsearch imensamente benéficos para suas necessidades de busca.
- Os usuários admiram os **poderosos recursos de busca e agregação** do Elasticsearch, apreciando seu desempenho e flexibilidade em escala.

##### Cons

- Os usuários acham o Elasticsearch **caro para escalar** , especialmente com alto uso de dados e licenciamento caro para recursos valiosos.
- Os usuários acham que **o Elasticsearch requer conhecimento significativo** para um desempenho ideal, complicando sua configuração e gerenciamento.
- Os usuários acham a **dificuldade de aprendizado** do Elasticsearch desafiadora, especialmente com configurações complexas e gerenciamento de consultas para iniciantes.
- Os usuários sentem que o Elasticsearch requer **melhoria na facilidade de uso** e ajuste de desempenho, complicando sua experiência com buscas.
- Os usuários acham a **curva de aprendizado difícil** do Elasticsearch desafiadora, exigindo um esforço e tempo consideráveis para dominar.

#### What Are Recent G2 Reviews of Elasticsearch?

**["Interface Simples, Integrações Sem Costura e Forte Desempenho do Elasticsearch"](https://www.g2.com/pt/survey_responses/elasticsearch-review-12835645)**

**Rating:** 4.5/5.0 stars

_— Antonia F._

[Read full review](https://www.g2.com/pt/survey_responses/elasticsearch-review-12835645)

**["Velocidade Impressionante e Pesquisa Poderosa Quase em Tempo Real com Elasticsearch"](https://www.g2.com/pt/survey_responses/elasticsearch-review-12579166)**

**Rating:** 5.0/5.0 stars

_— Ertuğrul D._

[Read full review](https://www.g2.com/pt/survey_responses/elasticsearch-review-12579166)

### [Nvidia AI Enterprise](https://www.g2.com/products/nvidia-ai-enterprise/reviews)

NVIDIA AI Enterprise is a comprehensive, cloud-native software platform designed to accelerate the development and deployment of production-grade AI applications, including generative AI, computer vision, and speech AI. It offers over 100 frameworks, pretrained models, and development tools, providing enterprise-grade security, stability, and support to streamline AI workflows and ensure business continuity. Key Features and Functionality: - Extensive AI Tools: Access to a vast array of frameworks and pretrained models to facilitate diverse AI applications. - Enterprise-Grade Support: Regular security patches, API stability, and end-to-end management software to maintain robust and secure AI operations. - Cloud-Native and Hybrid Compatibility: Optimized for deployment across public clouds, virtualized data centers, and on-premises infrastructure, ensuring flexibility and scalability. - Generative AI Enablement: Includes tools like NVIDIA NeMo for customizing pretrained foundation models to meet specific business needs. Primary Value and Solutions Provided: NVIDIA AI Enterprise simplifies the AI development lifecycle by offering a unified platform that reduces development time and costs while improving accuracy and performance. By providing a secure and stable environment, it mitigates the risks associated with open-source software, ensuring reliable and efficient AI deployments for mission-critical applications. Its compatibility with various deployment environments allows organizations to develop applications once and deploy them anywhere, facilitating a seamless transition from pilot projects to full-scale production.

**Average Rating:** 4.5/5.0

**Total Reviews:** 14

#### Who Is the Company Behind Nvidia AI Enterprise?

- **Seller:** [NVIDIA](https://www.g2.com/sellers/nvidia)
- **Year Founded:** 1993
- **HQ Location:** Santa Clara, CA
- **Twitter:** @nvidia  
2,582,827 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=78ee5403fa8a1bf981ce9ddbc58839ffedf0b07ab7bb703e5734e5f87464a603&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3608%2F&secure%5Burl_type%5D=linkedin_company_website)  
48,229 employees on LinkedIn®
- **Ownership:** NVDA

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 57% Small, 29% Medium

#### What Do G2 Reviewers Say About Nvidia AI Enterprise?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **comprehensive AI tools** of Nvidia AI Enterprise, enhancing their development experience significantly.
- Users value the **seamless AI integration** of Nvidia AI Enterprise, enhancing their efficiency and adoption of AI technologies.
- Users praise the **optimized GPU performance** of Nvidia AI Enterprise, enhancing their AI computing capabilities significantly.
- Users value the **enterprise-grade support** of Nvidia AI Enterprise, which enhances the overall user experience and satisfaction.
- Users appreciate the **ease of deployment** of Nvidia AI Enterprise, enhancing their AI adoption with seamless integration.

##### Cons

- Users often find the **complexity of setup and management** a challenge, especially without extensive AI or IT knowledge.
- Users often struggle with the **complexity** of setting up and managing NVIDIA AI Enterprise, particularly without extensive expertise.
- Users find the **costly infrastructure requirements** for Nvidia AI Enterprise to be a significant financial burden.
- Users face a **steep learning curve** with Nvidia AI Enterprise, especially when transitioning to AI workflows without prior experience.
- Users experience **limited flexibility** due to heavy reliance on NVIDIA hardware, restricting options for diverse setups.

#### What Are Recent G2 Reviews of Nvidia AI Enterprise?

**["Great work! Nvidia AI Enterprise!"](https://www.g2.com/survey_responses/nvidia-ai-enterprise-review-10291542)**

**Rating:** 5.0/5.0 stars

_— Jon Ryan L._

[Read full review](https://www.g2.com/survey_responses/nvidia-ai-enterprise-review-10291542)

**["Power of scalable AI"](https://www.g2.com/survey_responses/nvidia-ai-enterprise-review-11735679)**

**Rating:** 5.0/5.0 stars

_— Subhajeet S._

[Read full review](https://www.g2.com/survey_responses/nvidia-ai-enterprise-review-11735679)

### [Workato](https://www.g2.com/pt/products/workato/reviews)

Workato é a iPaaS classificada como número 1 e a líder em MCP Empresarial — a plataforma em que as empresas confiam para unificar integração, automação e IA em um ambiente seguro e nativo da nuvem. Confiada por mais de 12.000 clientes, incluindo metade das empresas da Fortune 500, a Workato conecta todos os sistemas, processos e fontes de dados com mais de 14.000 conectores pré-construídos. O que diferencia a Workato: o MCP Empresarial transforma processos de negócios comprovados em habilidades governadas e prontas para agentes que qualquer agente de IA — Claude, ChatGPT, Cursor ou personalizado — pode executar de forma segura e previsível. Não é necessário substituir e descartar. Seja modernizando integrações legadas ou implantando IA agentiva em escala, a Workato oferece a orquestração, governança e confiança necessárias na empresa.

**Average Rating:** 4.7/5.0

**Total Reviews:** 748

#### Who Is the Company Behind Workato?

- **Vendedor:** [Workato](https://www.g2.com/pt/sellers/workato)
- **Website da Empresa:** www.workato.com
- **Ano de Fundação:** 2013
- **Localização da Sede:** Mountain View, California
- **Twitter:** @Workato  
3,641 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=229b7e77382a8d2c3a0aeebe68dfc2316ea2caa6dd5d95ed0ee0d08884e6fc88&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3675685&secure%5Burl_type%5D=linkedin_company_website)  
1,401 funcionários no LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Engenheiro de Software, Engenheiro de Software Sênior
- **Top Industries:** Software de Computador, Tecnologia da Informação e Serviços
- **Company Size:** 43% Medium, 33% Large

#### What Do G2 Reviewers Say About Workato?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários acham o Workato **fácil de usar e eficiente** , permitindo automação fácil sem expertise técnica.
- Os usuários adoram as **integrações fáceis** oferecidas pelo Workato, tornando a automação entre ferramentas simples e eficiente.
- Os usuários valorizam a **facilidade de integrações** com o Workato, apreciando sua interface amigável e extensos conectores pré-construídos.
- Os usuários apreciam o **design amigável e as capacidades de automação** do Workato, aumentando a produtividade e simplificando fluxos de trabalho complexos.
- Os usuários adoram a **facilidade de automação** no Workato, economizando horas ao integrar diversos ferramentas e sistemas sem esforço.

##### Cons

- Os usuários acham a **complexidade** do Workato intimidante, especialmente em relação à terminologia e às estruturas de preços que confundem os novatos.
- Os usuários acham a **curva de aprendizado íngreme** , com fluxos de trabalho complexos e um processo de integração avassalador complicando o uso inicial.
- Os usuários expressam frustração com as **limitações de dados** no Workato, dificultando o envio de e-mails e a transferência de arquivos para tarefas maiores.
- Os usuários acham a **biblioteca de aplicativos limitada** do Workato restritiva, exigindo configuração manual para integrações menos comuns.
- Os usuários enfrentam uma **curva de aprendizado acentuada** com o Workato, achando o processo de integração e configuração inicial bastante avassalador e complexo.

#### What Are Recent G2 Reviews of Workato?

**["Workato nos ajuda a construir integrações complexas em uma velocidade impressionante."](https://www.g2.com/pt/survey_responses/workato-review-10305521)**

**Rating:** 5.0/5.0 stars

_— Sreenath B._

[Read full review](https://www.g2.com/pt/survey_responses/workato-review-10305521)

**["A Plataforma Que Cresceu Conosco"](https://www.g2.com/pt/survey_responses/workato-review-12941177)**

**Rating:** 5.0/5.0 stars

_— Anshu b._

[Read full review](https://www.g2.com/pt/survey_responses/workato-review-12941177)

#### What Are G2 Users Discussing About Workato?

- [What does Workato do?](https://www.g2.com/pt/discussions/what-does-workato-do)
- [Quanto custa o Workato?](https://www.g2.com/pt/discussions/how-much-does-workato-cost) - 1 comment
- [O que é uma receita Workato?](https://www.g2.com/pt/discussions/what-is-a-workato-recipe) - 3 comments
- [What is Workato used for?](https://www.g2.com/pt/discussions/what-is-workato-used-for)

### [Saturn Cloud](https://www.g2.com/products/saturn-cloud-saturn-cloud/reviews)

Saturn Cloud is a portable AI platform that installs securely in any cloud account. Access the best GPUs with no Kubernetes configuration or DevOps, enable AI/ML teams to develop, deploy, and manage ML models with any stack, and give IT security the controls that work for your enterprise. Customers include NVIDIA, CFA Institute, Snowflake, Flatiron School, Nestle, and more. Get started for free at: saturncloud.io

**Average Rating:** 4.8/5.0

**Total Reviews:** 321

#### Who Is the Company Behind Saturn Cloud?

- **Seller:** [Saturn Cloud](https://www.g2.com/sellers/saturn-cloud)
- **Year Founded:** 2018
- **HQ Location:** New York, US
- **Twitter:** @saturn\_cloud  
3,279 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d7c242c396d7c27229bcc9791d0c1f6612fbe28bd40caa3e2936785d30e5c2d4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsaturn-cloud%2F&secure%5Burl_type%5D=linkedin_company_website)  
41 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Scientist, Student
- **Top Industries:** Computer Software, Higher Education
- **Company Size:** 82% Small, 12% Medium

#### What Do G2 Reviewers Say About Saturn Cloud?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Saturn Cloud, making setup and functionality straightforward and enjoyable.
- Users value the **powerful GPU performance** of Saturn Cloud, enhancing speed and efficiency in data science projects.
- Users praise the **powerful GPU computing resources** of Saturn Cloud, enhancing their project efficiency and ease of use.
- Users appreciate the **setup ease** of Saturn Cloud, enabling quick and convenient access to GPU resources.
- Users commend the **easy integrations** in Saturn Cloud, enhancing convenience for machine learning and big data projects.

##### Cons

- Users find Saturn Cloud's pricing **expensive** , suggesting more affordable plans and options for students or new grads.
- Users experience **complexity issues** with pricing and documentation, which can hinder their initial setup and usage.
- Users find the **poor documentation** frustrating, especially for advanced setups and beginners needing guidance.
- Users find the **difficult setup** of Saturn Cloud to be a significant hurdle before enjoying its benefits.
- Users feel the **insufficient learning resources** hinder their experience, especially for beginners struggling with advanced setups.

#### What Are Recent G2 Reviews of Saturn Cloud?

**["Professional and user friendly"](https://www.g2.com/survey_responses/saturn-cloud-review-8279916)**

**Rating:** 4.5/5.0 stars

_— zahra s._

[Read full review](https://www.g2.com/survey_responses/saturn-cloud-review-8279916)

**["Saturn Cloud Boosts Data Science Productivity with Scalable Jupyter, Dask, and GPUs"](https://www.g2.com/survey_responses/saturn-cloud-review-13125535)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/saturn-cloud-review-13125535)

### [Wiro](https://www.g2.com/products/wiro/reviews)

Wiro is a unified AI API and generative AI infrastructure platform designed to help organizations build, deploy, and scale AI-powered applications through a single integration. The platform enables developers to access large language models (LLMs), AI image generation models, text-to-video and image-to-video models, speech-to-text systems, and real-time conversational AI through one standardized API. Wiro is particularly suited for teams building AI video generator apps, AI image generation tools, AI chatbots, voice assistant platforms, and other generative AI SaaS products. Instead of integrating multiple providers separately, developers can use Wiro as a centralized AI integration layer that abstracts GPU infrastructure, model hosting, and vendor management. Beyond simple API aggregation, Wiro supports model operationalization, including fine-tuning workflows (such as LoRA and DreamBooth), reusable AI pipelines, and RAG (retrieval-augmented generation) architectures. Teams can train custom models, deploy fine-tuned versions, and orchestrate multi-model workflows within the same application pipeline. This makes Wiro suitable for production AI deployment, multi-model orchestration, and scalable AI integration in real-world applications. The platform hosts and optimizes open-source foundation models on dedicated GPU infrastructure while also providing unified access to commercial AI providers such as OpenAI and Google. Its centralized architecture supports intelligent routing, workload scheduling, monitoring, and high-throughput API traffic management. Wiro operates on a transparent, usage-based pricing model where customers are billed per API request based on compute and token usage. This approach allows startups, SaaS companies, and enterprise teams to scale AI workloads without long-term infrastructure commitments. By combining unified AI APIs, model fine-tuning, workflow orchestration, and multi-provider integration, Wiro functions as an AI infrastructure layer and OpenAI alternative API for teams building AI video apps, AI image generation platforms, conversational AI systems, and production-ready generative AI solutions.

**Average Rating:** 4.9/5.0

**Total Reviews:** 28

#### Who Is the Company Behind Wiro?

- **Seller:** [Wiro.ai](https://www.g2.com/sellers/wiro-ai)
- **Company Website:** www.wiro.ai
- **Year Founded:** 2023
- **HQ Location:** San Francisco, CA
- **Twitter:** @wiroai  
1,534 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2fb6a9da96586ee854f26406f6a0687e1e22d1ae25fc2da9c090cc863fa041e9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fwiroai&secure%5Burl_type%5D=linkedin_company_website)  
24 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Marketing and Advertising
- **Company Size:** 97% Small, 3% Medium

#### What Are Recent G2 Reviews of Wiro?

**["The Easiest Way to Centralize AI Media Models"](https://www.g2.com/survey_responses/wiro-review-12557513)**

**Rating:** 5.0/5.0 stars

_— Altan K._

[Read full review](https://www.g2.com/survey_responses/wiro-review-12557513)

**["Flexible APIs That Let You Build Anything"](https://www.g2.com/survey_responses/wiro-review-12703223)**

**Rating:** 5.0/5.0 stars

_— Metehan K._

[Read full review](https://www.g2.com/survey_responses/wiro-review-12703223)

### [Voiceflow](https://www.g2.com/pt/products/voiceflow/reviews)

Voiceflow é uma plataforma de agentes de IA que capacita equipes de produto em empresas de médio porte e grandes empresas a projetar, implantar e escalar agentes de IA em canais de chat e voz. Confiada por equipes da StubHub, Superloop, JP Morgan Chase e Trilogy, a Voiceflow combina um construtor de agentes intuitivo de arrastar e soltar com uma base de conhecimento, sistema de gerenciamento de conteúdo e integrações nativas, para que as equipes possam passar do protótipo à produção mais rapidamente. Envie agentes de IA avançados e prontos para produção com um kit de ferramentas voltado para desenvolvedores e uma poderosa biblioteca de APIs que suporta integrações personalizadas e interfaces sob medida. A análise integrada da Voiceflow revela transcrições e permite que você defina seus próprios critérios de avaliação em escala. Reproduza conversas, depure passo a passo, filtre com precisão e visualize ações do usuário como cliques de botão — tudo em uma única plataforma. Voiceflow é ideal para equipes de produto que constroem chatbots, assistentes de voz, agentes virtuais ou experiências de cliente omnicanal.

**Average Rating:** 4.6/5.0

**Total Reviews:** 111

#### Who Is the Company Behind Voiceflow?

- **Vendedor:** [Voiceflow](https://www.g2.com/pt/sellers/voiceflow)
- **Website da Empresa:** www.voiceflow.com
- **Ano de Fundação:** 2019
- **Localização da Sede:** San Francisco, CA
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d6db6ec5d977c0cf9fcc6ee9854faa09be2b46d90abcf838a12cca293a9d20d2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fvoiceflowhq%2F&secure%5Burl_type%5D=linkedin_company_website)  
88 funcionários no LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Fundador, CEO
- **Top Industries:** Software de Computador, Tecnologia da Informação e Serviços
- **Company Size:** 60% Small, 15% Medium

#### What Do G2 Reviewers Say About Voiceflow?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários apreciam a **facilidade de uso** do Voiceflow, facilitando o design intuitivo e a integração perfeita sem codificação.
- Os usuários adoram a **construção amigável sem código** do Voiceflow, tornando fácil criar e personalizar agentes de IA.
- Os usuários elogiam as **integrações fáceis** do Voiceflow, permitindo conexões perfeitas com aplicativos e melhorando a funcionalidade geral.
- Os usuários elogiam a **interface intuitiva do Voiceflow e suas poderosas capacidades de integração** , tornando a criação de bots de IA fluida e eficiente.
- Os usuários adoram os **recursos de fácil integração** do Voiceflow, tornando as conexões e personalizações simples e intuitivas.

##### Cons

- Os usuários acham os **recursos limitados** do Voiceflow restritivos, observando dificuldades com a integração e orientação de configuração.
- Os usuários encontram **problemas de integração** com o Voiceflow, exigindo orientações mais acessíveis e processos de conexão aprimorados para uma experiência mais suave.
- Os usuários acham que os **recursos ausentes** no painel do Voiceflow são limitantes, afetando tanto a funcionalidade quanto a experiência do usuário.
- Os usuários enfrentam **limitações de uso** devido a integrações restritas, opções de hospedagem e dependência de créditos de IA embutidos.
- Os usuários sugerem que **melhorias na integração e depuração** melhorariam significativamente sua experiência com o Voiceflow.

#### What Are Recent G2 Reviews of Voiceflow?

**["Construção de Agentes Sem Esforço com Preços Justos"](https://www.g2.com/pt/survey_responses/voiceflow-review-12966733)**

**Rating:** 5.0/5.0 stars

_— Jack M._

[Read full review](https://www.g2.com/pt/survey_responses/voiceflow-review-12966733)

**["Designer Visual Intuitivo que Acelera o Desenvolvimento de IA Conversacional"](https://www.g2.com/pt/survey_responses/voiceflow-review-13122005)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/pt/survey_responses/voiceflow-review-13122005)

#### What Are G2 Users Discussing About Voiceflow?

- [Para que serve o Voiceflow?](https://www.g2.com/pt/discussions/what-is-voiceflow-used-for) - 1 comment, 1 upvote

### [ZoomMate](https://www.g2.com/pt/products/zoommate/reviews)

ZoomMate é um espaço de trabalho de IA integrado ao Zoom Workplace, projetado para aumentar a produtividade transformando discussões em resultados acionáveis. Esta solução inovadora serve como um colega de equipe de IA pessoal que compreende, aprende e age sobre suas tarefas diárias. Ao preencher a lacuna entre conversa e execução, o ZoomMate garante que as decisões tomadas durante reuniões e conversas sejam efetivamente seguidas, permitindo que os usuários se concentrem em suas responsabilidades principais. O público-alvo do ZoomMate inclui profissionais e equipes que dependem de ferramentas colaborativas para gerenciar seus fluxos de trabalho. Seja em ambientes corporativos, equipes remotas ou instituições educacionais, os usuários se beneficiam de uma integração perfeita das capacidades de IA em seu ecossistema Zoom existente. O ZoomMate é particularmente útil para indivíduos que frequentemente se encontram lidando com múltiplas tarefas e ferramentas, pois simplifica o processo de rastreamento e conclusão do trabalho iniciado durante as discussões. Uma das características de destaque do ZoomMate é sua capacidade de operar dentro do contexto de conversas em andamento. Ao contrário dos assistentes de IA tradicionais que exigem que os usuários insiram comandos específicos, o ZoomMate se envolve ativamente no fluxo de trabalho, entendendo as nuances das discussões e identificando os próximos passos sem precisar de instruções explícitas. Esta abordagem proativa não só economiza tempo, mas também reduz a carga cognitiva sobre os usuários, permitindo que eles se concentrem na tomada de decisões estratégicas em vez de acompanhamentos administrativos. Além disso, o ZoomMate consolida várias funções em uma única plataforma, eliminando a necessidade de múltiplas aplicações e licenças. Esta integração melhora a segurança dos dados ao manter informações sensíveis dentro do ambiente Zoom, reduzindo o risco associado ao uso de ferramentas díspares. As capacidades de orquestração do ZoomMate permitem que ele gerencie tarefas em diferentes sistemas, garantindo que todos os membros da equipe estejam alinhados e informados sobre os desenvolvimentos do projeto. Em essência, o ZoomMate redefine como as equipes colaboram e executam tarefas ao incorporar a IA diretamente no fluxo de trabalho. Sua capacidade única de aprender com interações e fornecer assistência sensível ao contexto o torna um ativo valioso para qualquer organização que busca aumentar a produtividade e simplificar operações. Ao focar no acompanhamento das conversas, o ZoomMate capacita os usuários a alcançar seus objetivos de forma mais eficiente, transformando reuniões em resultados tangíveis.

**Average Rating:** 4.6/5.0

**Total Reviews:** 259

#### Who Is the Company Behind ZoomMate?

- **Vendedor:** [Zoom](https://www.g2.com/pt/sellers/zoom-a5000ea1-6d30-4ab4-b591-20723189ac97)
- **Website da Empresa:** www.zoom.com
- **Ano de Fundação:** 2011
- **Localização da Sede:** San Jose, CA
- **Twitter:** @zoom  
1,042,714 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ea58933ffb5ea1e88769e70b1323ea336f3f35193bdf38ad87831cfc56794a9a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2532259%2F&secure%5Burl_type%5D=linkedin_company_website)  
13,494 funcionários no LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Software de Computador, Tecnologia da Informação e Serviços
- **Company Size:** 41% Small, 34% Medium

#### What Do G2 Reviewers Say About ZoomMate?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários apreciam a **facilidade de uso** do ZoomMate, permitindo conferências e compartilhamento de tela sem interrupções, mesmo em dispositivos de baixa velocidade.
- Os usuários acham o **Zoom AI Companion** inestimável para registrar atas e aumentar a produtividade através de uma integração perfeita.
- Os usuários acham a **facilidade de uso** do Zoom AI Companion inestimável para aumentar a produtividade e simplificar a comunicação.
- Os usuários acham que a **utilidade do Companheiro de IA para registrar atas de reuniões** aumenta significativamente a produtividade e simplifica a comunicação.
- Os usuários valorizam a **eficiência** do ZoomMate em organizar tarefas e criar resumos claros, aumentando a produtividade durante as reuniões.

##### Cons

- Os usuários se sentem limitados pelas **funcionalidades ausentes** do ZoomMate, exigindo ferramentas adicionais para funções essenciais como legendas.
- Os usuários relatam **imprecisões** nos resumos das reuniões, faltando nuances e gerando perguntas genéricas que carecem de profundidade e contexto.
- Os usuários acham que os **recursos limitados** do ZoomMate são insuficientes, pois muitas vezes requerem ferramentas adicionais para funcionalidade completa.
- Os usuários experimentam **problemas de precisão** com o Zoom AI Companion, observando palavras perdidas e conteúdo irrelevante em resumos e perguntas.
- Os usuários enfrentam **problemas com o Zoom** em áreas de baixa cobertura e enfrentam dificuldades de áudio devido a mudanças recentes na interface do usuário.

#### What Are Recent G2 Reviews of ZoomMate?

**["Companheiro de IA do Zoom aumenta a produtividade com resumos inteligentes de reuniões e itens de ação"](https://www.g2.com/pt/survey_responses/zoommate-review-12924533)**

**Rating:** 5.0/5.0 stars

_— Usuário Verificado em Gestão Educacional_

[Read full review](https://www.g2.com/pt/survey_responses/zoommate-review-12924533)

**["Resumos de Reuniões e Atualizações Facilitam Manter o Foco"](https://www.g2.com/pt/survey_responses/zoommate-review-12933710)**

**Rating:** 5.0/5.0 stars

_— Usuário Verificado em Organização Cívica e Social_

[Read full review](https://www.g2.com/pt/survey_responses/zoommate-review-12933710)

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 ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry")
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Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)

Updated April 9, 2026

Generative AI infrastructure software provides the scalable, secure, and high-performance environment needed to train, deploy, and manage generative models such as large language models (LLMs). These tools address challenges related to model scalability, inference speed, availability, and resource optimization to support production-grade generative AI workloads.

### Core Capabilities of Generative AI Infrastructure Software

To qualify for inclusion in the Generative AI Infrastructure category, a product must:

- Provide scalable options for model training and inference
- Offer a transparent and flexible pricing model for computational resources and API calls
- Enable secure data handling through features like data encryption and GDPR compliance
- Support easy integration into existing data pipelines and workflows, preferably through APIs or pre-built connectors

### Common Use Cases for Generative AI Infrastructure Software

- Training large language models (LLMs) or fine-tuning existing models using scalable compute resources.
- Running high-performance inference for chatbots, virtual assistants, content generation tools, and other AI-powered applications.
- Deploying generative AI models into production with reliable autoscaling, load balancing, and monitoring capabilities.
- Supporting hybrid or on-premises deployments for organizations with strict data residency or security requirements.
- Integrating generative AI capabilities into existing data pipelines using APIs, connectors, or SDKs.
- Managing compute costs through transparent pricing, resource optimization, and usage-based billing models.
- Ensuring secure handling of sensitive data with encryption, access controls, private environments, and compliance features.
- Running continuous experimentation, evaluation, and A/B testing for generative model improvements.
- Building custom applications, such as summarization engines, code assistants, or generative design tools, on top of pre-trained foundation models.

### How Generative AI Infrastructure Software Differs from Other Tools

Generative AI infrastructure software differs from broader cloud computing or machine learning platforms by focusing on the specialized needs of generative models, including optimized training environments, fine-tuning support, and robust security for sensitive data. Unlike other generative AI tools that provide pre-built applications, these solutions deliver the underlying infrastructure developers and engineers require to build custom generative AI systems.

### Insights from G2 on Generative AI Infrastructure Software

Based on category trends on G2, strong performance, reliability, and flexible deployment models, noting that access to pre-trained models, fine-tuning capabilities, and real-time monitoring help accelerate development while maintaining operational control.

Top Tools at a Glance

| Product | Best for | User Review |
| --- | --- | --- |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_aeae116c52945fdecd7ed16d621cb315/gemini-enterprise-agent-platform.png "Product Avatar Image")](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews)[Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews)[4.3/5(744)](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) | Google-native end-to-end agentic AI deployment | "Easy AI Agent Creation" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_a6c205d533dba77b318af96d91beb2ac/databricks.jpeg "Product Avatar Image")](https://www.g2.com/products/databricks/reviews)[Databricks](https://www.g2.com/products/databricks/reviews)[4.6/5(1,364)](https://www.g2.com/products/databricks/reviews) | Unified Lakehouse for end-to-end GenAI pipelines | "Reliable Platform for Building Scalable Data Pipelines" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_dd674051aa4dc7d0dfc8b7737b799e0b/aws-bedrock.jpg "Product Avatar Image")](https://www.g2.com/products/aws-bedrock/reviews)[AWS Bedrock](https://www.g2.com/products/aws-bedrock/reviews)[4.3/5(76)](https://www.g2.com/products/aws-bedrock/reviews) | Multi-model GenAI deployment inside AWS ecosystem | "Enterprise-Ready Generative AI with Multiple Foundation Models in One Managed Service" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_325487375e1e9456e856a78e811f5fc1/langchain.png "Product Avatar Image")](https://www.g2.com/products/langchain/reviews)[Langchain](https://www.g2.com/products/langchain/reviews)[4.5/5(95)](https://www.g2.com/products/langchain/reviews) | Modular LLM orchestration for RAG and agentic workflows | "LangChain’s Wide Integrations and RAG Abstractions Save Huge Development Time" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_9bffa359ebdf62613b74920d787d784b/google-cloud-ai-infrastructure.jpg "Product Avatar Image")](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews)[Google Cloud AI Infrastructure](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews)[4.5/5(45)](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews) | TPU/GPU-accelerated generative AI model lifecycle | "Excellent toolbox for AI implementation in the cloud" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_24bb2b0b5af8e7d875ea09d767bcb097/ibm-watsonx-ai.jpg "Product Avatar Image")](https://www.g2.com/products/ibm-watsonx-ai/reviews)[IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews)[4.4/5(153)](https://www.g2.com/products/ibm-watsonx-ai/reviews) | Governed end-to-end generative AI lifecycle | "Comprehensive One-Stop Platform for Building and Testing AI Workflows" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_791b528c516cc1b08151fa6da3988161/dataiku.png "Product Avatar Image")](https://www.g2.com/products/dataiku/reviews)[Dataiku](https://www.g2.com/products/dataiku/reviews)[4.4/5(224)](https://www.g2.com/products/dataiku/reviews) | End-to-end GenAI orchestration with governed MLOps | "Unified, Low-Code Platform That Boosts End-to-End Data & AI Productivity" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_11136e7a626428fc1ccfd41dbe8b7e55/wirestock.jpg "Product Avatar Image")](https://www.g2.com/products/wirestock/reviews)[Wirestock](https://www.g2.com/products/wirestock/reviews)[4.9/5(31)](https://www.g2.com/products/wirestock/reviews) | Ethically-sourced visual AI training data distribution | "Streamlined Workflow, Quality Content and a Truly Supportive Wirestock Team" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_da633d2d1c1fd43e5e3cc46236965f55/elastic-elasticsearch.png "Product Avatar Image")](https://www.g2.com/products/elastic-elasticsearch/reviews)[Elasticsearch](https://www.g2.com/products/elastic-elasticsearch/reviews)[4.5/5(292)](https://www.g2.com/products/elastic-elasticsearch/reviews) | Hybrid vector and semantic AI retrieval | "Simple UI, Seamless Integrations, and Strong Elasticsearch Performance" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_d8458aad701c71410d463863675c15b7/nvidia-ai-enterprise.jpeg "Product Avatar Image")](https://www.g2.com/products/nvidia-ai-enterprise/reviews)[Nvidia AI Enterprise](https://www.g2.com/products/nvidia-ai-enterprise/reviews)[4.5/5(14)](https://www.g2.com/products/nvidia-ai-enterprise/reviews) | GPU-accelerated generative AI deployment infrastructure | "Great work! Nvidia AI Enterprise!" |

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Show More

### Generative AI Infrastructure Topics

- [Generative AI Infrastructure software buying insights at a glance](#generative-ai-infrastructure-software-buying-insights-at-a-glance)
- [What are the top-reviewed Generative AI Infrastructure software on G2?](#what-are-the-top-reviewed-generative-ai-infrastructure-software-on-g2)
- [What I Often See in Generative AI Infrastructure Software](#what-i-often-see-in-generative-ai-infrastructure-software)
- [My expert takeaway on Generative AI Infrastructure tools](#my-expert-takeaway-on-generative-ai-infrastructure-tools)
- [Generative AI Infrastructure software FAQs](#generative-ai-infrastructure-software-faqs)
- [Sources](#sources)

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### Generative AI Infrastructure Topics
Expand/Collapse ](#)
- [Generative AI Infrastructure software buying insights at a glance](#generative-ai-infrastructure-software-buying-insights-at-a-glance)
- [What are the top-reviewed Generative AI Infrastructure software on G2?](#what-are-the-top-reviewed-generative-ai-infrastructure-software-on-g2)
- [What I Often See in Generative AI Infrastructure Software](#what-i-often-see-in-generative-ai-infrastructure-software)
- [My expert takeaway on Generative AI Infrastructure tools](#my-expert-takeaway-on-generative-ai-infrastructure-tools)
- [Generative AI Infrastructure software FAQs](#generative-ai-infrastructure-software-faqs)
- [Sources](#sources)

## Learn More About Generative AI Infrastructure Software

### Generative AI Infrastructure software buying insights at a glance

[Generative AI Infrastructure](https://www.g2.com/categories/generative-ai-infrastructure) software provides the technical foundation teams need to build, deploy, and scale generative AI models, especially [large language models (LLMs)](https://www.g2.com/categories/large-language-models-llms). In real production environments. Instead of stitching together separate tools for compute, orchestration, model serving, monitoring, and governance, these platforms centralize the core “infrastructure layer” that makes generative AI reliable at scale

As more companies move from experimentation to customer-facing AI features, and as performance and cost pressures increase, Generative AI Infrastructure has become essential for engineering, ML, and platform teams that need predictable inference, controlled spend, and operational guardrails without slowing innovation.

Based on G2 reviews, buyers most often adopt generative AI infrastructure to shorten time-to-production and address scaling challenges, including GPU resource management, deployment reliability, latency control, and performance monitoring. The strongest review patterns consistently point to a few recurring wins: faster deployment and iteration cycles, smoother scaling under real traffic, and improved visibility into model health and usage. Many teams also emphasize that the infrastructure tools they keep long-term are the ones that make it easier to enforce controls (cost, governance, reliability) without introducing friction for developers and ML teams.

Pricing typically follows a usage-driven model tied to infrastructure intensity, often based on compute consumption (GPU hours), inference volume, model hosting, storage, observability features, and enterprise governance controls. Some vendors bundle platform access into tiered subscriptions and layer usage costs on top, while others shift to contracted enterprise pricing once the workload grows and requirements such as SLAs, compliance, private networking, or dedicated support become mandatory.

**Top 5 FAQs from software buyers:**

- How do generative AI infrastructure platforms manage inference speed and latency?
- What’s the best infrastructure stack for deploying LLMs in production?
- How do these tools control and forecast GPU costs at scale?
- What monitoring and governance features exist for production model operations?
- How do teams choose between managed infrastructure vs. self-hosted frameworks?

**G2’s top-rated Generative AI Infrastructure software, based on verified reviews, includes** [**Vertex AI**](https://www.g2.com/products/google-vertex-ai/reviews) **,** [**Google Cloud AI Infrastructure**](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews) **,** [**AWS Bedrock**](https://www.g2.com/products/aws-bedrock/reviews) **,** [**IBM watsonx.ai**](https://www.g2.com/products/ibm-watsonx-ai/reviews) **, and** [**Langchain**](https://www.g2.com/products/langchain/reviews) **.** [**(Source 2)**](https://company.g2.com/news/g2-winter-2026-reports)

### What are the top-reviewed Generative AI Infrastructure software on G2?

[**Vertex AI**](https://www.g2.com/products/google-vertex-ai/reviews)

- Reviews: 184
- Satisfaction: 100
- Market Presence: 99
- G2 Score: 99

[Google Cloud AI Infrastructure](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews) 

- Reviews: 36
- Satisfaction: 71
- Market Presence: 75
- G2 Score: 73

[AWS Bedrock](https://www.g2.com/products/aws-bedrock/reviews)

- Reviews: 37
- Satisfaction: 63
- Market Presence: 82
- G2 Score: 72

[IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews)

- Reviews: 19
- Satisfaction: 57
- Market Presence: 73
- G2 Score: 65

[Langchain](https://www.g2.com/products/langchain/reviews)

- Reviews: 31
- Satisfaction: 75
- Market Presence: 49
- G2 Score: 62

**Satisfaction** reflects user-reported ratings, including ease of use, support, and feature fit. ([Source 2](https://www.g2.com/reports))

**Market Presence** scores combine review and external signals that indicate market momentum and footprint. ([Source 2](https://www.g2.com/reports))

**G2 Score** is a weighted composite of Satisfaction and Market Presence. ([Source 2](https://www.g2.com/reports))

Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5vlk6s*_gcl_au*MTAwMzU5MzUxLjE3NjM0MTg0NzYuNjY0NTIxMTY0LjE3NjQ2MTc0NzcuMTc2NDYxNzQ3Nw..*_ga*NzY1MDU0NjE3LjE3NjM0NzQ3ODM.*_ga_MFZ5NDXZ5F*czE3NjYwODk1MTMkbzY3JGcxJHQxNzY2MDkyMjQyJGo1NyRsMCRoMA..))

### What I Often See in Generative AI Infrastructure Software

#### Feedback Pros: What Users Consistently Appreciate

- **Unified ml workflow with seamless bigquery and gcs Integration**
- “What I like most about Vertex AI is how it unifies the entire machine learning workflow, from data preparation and training to deployment and monitoring. We’ve used it to streamline our ML pipeline, and the integration with BigQuery and Google Cloud Storage makes data handling incredibly efficient. The UI is intuitive, and it’s easy to move between no-code experimentation and full-scale custom model development.”- [Andre P.](https://www.g2.com/products/google-vertex-ai/reviews/vertex-ai-review-11796689) Vertex AI Review
- **All-in-one model training, deployment, and monitoring with automation**
- “What I like the most is how easy it is to manage the full machine learning workflow in one place. From training to deployment, everything is well integrated with other Google Cloud tools. The interface is simple, and automation features save a lot of time when handling multiple models.”- [Joao S](https://www.g2.com/products/google-vertex-ai/reviews/vertex-ai-review-11799016). Vertex AI Review
- **Scales easily for GPU/TPU workloads with enterprise reliability**
- “Google Cloud gives powerful tools and machines (like TPUs) to build and run AI faster. It is easy to scale up or down and works well with Google’s other products. It keeps data safe and offers good performance worldwide. Good for mission critical & enterprise workloads. Users generally find Google’s docs, guides, forums, etc., to be thorough, which helps especially for smaller or less urgent issues.”- [Neha J.](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews/google-cloud-ai-infrastructure-review-11803619) Google Cloud AI Infrastructure Review

#### Cons: Where Many Platforms Fall Short 

- **Advanced setup and MLOps concepts can feel overwhelming at first**
- “The learning curve can be steep at the beginning, especially for those new to Google Cloud’s way of organizing resources. Pricing transparency could also improve; costs can ramp up quickly if you don’t set up quotas or monitoring. Some features, like advanced pipeline orchestration or custom training jobs, feel a bit overwhelming without strong documentation or prior ML Ops experience.”- [Rodrigo M.](https://www.g2.com/products/google-vertex-ai/reviews/vertex-ai-review-11702614) Vertex AI Review
- **Costs rise quickly without quotas, monitoring, and pricing clarity**
- “Bedrock pricing model needs improvement. Few of the models are projected under AWS marketplace pricing. Bedrock is not available in all regions and has to rely on the US region for the same.”- [Saransundar N.](https://www.g2.com/products/aws-bedrock/reviews/aws-bedrock-review-10720033) AWS Bedrock Review
- **Requires GenAI knowledge; not ideal for absolute beginners**
-  “I'm not sure about it. I think it 'might' be that it is not for absolute beginners. You need to know what Generative AI models are and how they function to be able to get any benefit out of this.”- [Divya K.](https://www.g2.com/products/ibm-watsonx-ai/reviews/ibm-watsonx-ai-review-10303761) IBM watsonx.ai Review

### My expert takeaway on Generative AI Infrastructure tools

G2 review patterns point to a category that’s already delivering clear day-to-day value, but maturity in implementation still separates the winners. Across to G2 reviews, the average star rating is 4.54/5, with strong operational sentiment in ease of use (6.35/7) and ease of setup (6.24/7), as well as a high likelihood to recommend (9.08/10) and solid quality of support (6.18/7). Taken together, these metrics suggest most teams can get productive quickly, and many would recommend their infrastructure once it’s embedded into real workflows, strong signals for adoption readiness and trust.

High-performing teams treat generative AI infrastructure as a platform layer, not a collection of tools. They define which parts of the AI lifecycle must be standardized (model serving, monitoring, governance, cost controls) and where flexibility must remain (experimentation, fine-tuning pipelines, prompt iteration). Strong implementations operationalize reliability: they monitor latency, throughput, error rates, and drift continuously, and they implement guardrails for cost and access early, before usage explodes. This is where the best generative AI infrastructure truly stands out: it enables teams to scale experiments into production without compromising control over spend, performance, or governance.

Where teams struggle most is cost discipline and operational governance. Common failure points include unclear ownership across ML + platform teams, inconsistent deployment patterns, weak usage monitoring, and over-reliance on manual tuning. Teams that win focus on measurable operational signals, including inference latency, GPU utilization efficiency, cost per request, deployment rollback time, monitoring coverage, and incident response speed when models behave unexpectedly.

### Generative AI Infrastructure software FAQs

#### What is Generative AI Infrastructure software?

Generative AI infrastructure software provides the systems required to build and run generative models in production, covering compute management (often GPUs), model deployment and serving, orchestration, monitoring, and governance. The goal is to make generative AI reliable, scalable, and cost-controlled, so teams can ship AI features without operational instability.

#### What is the best Generative AI Infrastructure software?

- [Vertex AI](https://www.g2.com/products/google-vertex-ai/reviews)– Industry-leading AI platform for building, deploying, and scaling generative models, with top user satisfaction and advanced integration across Google Cloud. 
- [Google Cloud AI Infrastructure](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews) – Robust cloud-based AI infrastructure offering scalable resources and flexible tools for diverse machine learning and generative AI workloads. 
- [AWS Bedrock](https://www.g2.com/products/aws-bedrock/reviews) – Amazon’s generative AI service with modular deployment across AWS, supporting multiple foundation models and seamless integration with AWS tools.
- [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews) – Enterprise AI platform delivering machine learning and generative AI capabilities, with strong governance and support for regulated environments. 
- [Langchain](https://www.g2.com/products/langchain/reviews) – Developer framework for building AI-powered applications with language models, enabling rapid prototyping, orchestration, and customization of generative workflows.

#### How do teams control GPU costs with generative AI infrastructure?

Teams control GPU costs by tracking utilization, limiting inefficient workloads, scheduling batch jobs intelligently, and enforcing usage governance across projects. Strong infrastructure platforms provide visibility into consumption drivers (GPU hours, inference volume, peak usage) and include tools for quotas, rate limits, and cost forecasting to prevent runaway spend.

#### What monitoring features matter most for Generative AI Infrastructure?

The most valuable monitoring features include latency tracking, throughput, error rates, cost per request, and system-level GPU utilization. Many teams also look for AI-specific monitoring such as drift detection, prompt/response evaluation, version tracking, and the ability to correlate model changes with performance shifts in production.

#### How should buyers choose Generative AI Infrastructure tools?

Buyers should start with production requirements: which models will be served, expected traffic volume, latency goals, and governance needs. From there, evaluate deployment simplicity, observability depth, scaling reliability, security controls, and cost transparency. The best choice is usually the platform that supports both experimentation and production operations without forcing teams to rebuild workflows later.

### Sources

1. [G2 Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5ky9es*_gcl_au*MTY2NDg2MDY3Ny4xNzU1MDQxMDU4*_ga*MTMwMTMzNzE1MS4xNzQ5MjMyMzg1*_ga_MFZ5NDXZ5F*czE3NTUwOTkzMjgkbzQkZzEkdDE3NTUwOTk3NzYkajU3JGwwJGgw)
2. [G2 Winter 2026 Reports](https://company.g2.com/news/g2-winter-2026-reports)

Researched By: [Blue Bowen](https://research.g2.com/insights/author/blue-bowen?_gl=1*18mgp2a*_gcl_au*MTIzNzc1MTQ1My4xNzYxODI2NjQzLjU0Mjk4NTYxMC4xNzY3NzY1MDQ5LjE3Njc3NjUwNDk.*_ga*MTQyMjE4MDg5Ni4xNzYxODI2NjQz*_ga_MFZ5NDXZ5F*czE3Njc5MDA1OTgkbzE5MCRnMSR0MTc2NzkwMjIxOSRqNjAkbDAkaDA.)

Last Updated On January 12, 2026