Best Generative AI Infrastructure Software - Page 3

How Many Generative AI Infrastructure Software Products Does G2 Track?

Total Products under this Category: 488

Category Stats (Sep 2026)

  • Average Rating: 4.51/5 (↑0.01 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Metaprise Agent Operating System (+62.24%) - Among all products in this category, Metaprise Agent Operating System recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Generative AI Infrastructure Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 7,900+ Authentic Reviews
  • 488+ 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

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

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=elastic-elasticsearch)

Dify.AI

LangGenius, Inc. is a company founded in 2023. It is located at Delaware, USA. Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. Dify.AI aims to become a leading generative AI application development platform.

Average Rating: 4.1/5.0

Total Reviews: 20

Who Is the Company Behind Dify.AI?

  • Seller: Dify.AI
  • Year Founded: 2023
  • HQ Location: MIDDLETOWN, US
  • Twitter: @dify_ai
    22,432 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    103 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 40% Medium, 40% Small

What Do G2 Reviewers Say About Dify.AI?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the user-friendly interface of Dify.AI, making chatbot creation seamless and efficient.
  • Users value the ease of development with Dify.AI, simplifying and accelerating the AI app creation process.
  • Users appreciate the easy integrations of Dify.AI, allowing quick setup and efficient workflow management.
  • Users value the efficiency of Dify.AI, appreciating its ability to streamline AI app development seamlessly.
  • Users praise Dify.AI for its intuitive UI and convenient deployment options, enhancing workflow orchestration effortlessly.
Cons
  • Users often find the poor UI of Dify.AI challenging, especially during initial interactions and setup.
  • Users face complexity issues due to low variable limits, lack of support, and restrictive workflow capabilities.
  • Users find the interface complexity of Dify initially overwhelming, but it becomes manageable with practice.
  • Users find the steep learning curve challenging, especially those new to AI development and managing complex features.
  • Users express frustration with poor customer support, receiving generic replies and lack of helpful responses, even on paid plans.

What Are Recent G2 Reviews of Dify.AI?

illumex

illumex pioneers Generative Semantic Fabric to solve context-specific questions and lead to trustworthy use of data. illumex’s proprietary generative AI engine connects to the metadata of both data and analytics sources, and automatically maps and interprets it without human intervention. This is called Semantic AI. Semantic AI unifies enterprises' Business Data Language to connect their isolated data silos, and to enable data producers and consumers to find, understand and trust their data and analytics. illumex allows Enterprises to navigate their Data Fabric easily by turning Metadata into a Business Graph with a Unified Business Data Terminology

Average Rating: 4.3/5.0

Total Reviews: 12

Who Is the Company Behind illumex?

Who Uses This Product?

  • Company Size: 50% Medium, 33% Small

What Do G2 Reviewers Say About illumex?

AI-generated summary from verified user reviews

Pros
  • Users value the collaboration features of illumex, enhancing teamwork and streamlining data management effectively.
  • Users value how illumex provides instant data accessibility and effective management, enhancing teamwork and saving time.
  • Users appreciate the ease of use of illumex, simplifying data management and enhancing teamwork efficiency.
  • Users commend the efficiency of illumex for simplifying data management and enhancing teamwork, saving valuable time.
  • Users commend the intuitive user interface of illumex, which simplifies data management and enhances teamwork efficiency.
Cons
  • Users find the complexity of features in illumex makes it challenging to navigate initially.
  • Users find the learning curve steep, requiring time to navigate and understand all the available features.

What Are Recent G2 Reviews of illumex?

Promptly

Enterprise ready AI platform to build AI Agents, workflows and applications with your data. Single platform to simplify and automate your workflows.

Average Rating: 4.3/5.0

Total Reviews: 13

Who Is the Company Behind Promptly?

  • Seller: TryPromptly
  • Year Founded: 2023
  • HQ Location: Milpitas, CA
  • Twitter: @trypromptly
    341 Twitter followers
  • LinkedIn® Page: linkedin.com
    2 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 71% Small, 14% Medium

What Do G2 Reviewers Say About Promptly?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Promptly for daily data analysis tasks with Power BI.
  • Users find Promptly to be an easy-to-use AI tool, seamlessly integrating into daily tasks like data analysis.
Cons
  • Users find that Promptly has accuracy issues, with content generation occasionally deviating from the intended query.

What Are Recent G2 Reviews of Promptly?

Martian

Martian built the first model router, backed by $9M from NEA, General Catalyst, and Prosus Ventures. You can think of us like Google for LLMs: every time you send us a request, we automatically find and use the LLM which will give you the best result at the lowest cost. Engineers at 300+ companies, from Amazon to Zapier, have used Martian to achieve higher performance and lower costs, with greater security and reliability. The team consists of previous AI researchers at Stanford, Harvard, University of Pennsylvania, the Google Bard Team, and Microsoft Research who have previously built and sold multiple NLP companies and published in the leading AI research journals.

Average Rating: 4.2/5.0

Total Reviews: 13

Who Is the Company Behind Martian?

  • Seller: Martian
  • Year Founded: 2022
  • HQ Location: San Francisco, US
  • Twitter: @withmartian
    2,641 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    32 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 46% Small, 38% Medium

What Do G2 Reviewers Say About Martian?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the easy integration of Martian, seamlessly connecting with existing workflows and enhancing project efficiency.
  • Users love the cost savings and easy integration features of Martian, enhancing workflow efficiency significantly.
  • Users value the seamless AI integration of Martian, enhancing efficiency in bio-research projects with multiple API options.
  • Users find Martian's implementation to be easy and intuitive, streamlining integration with APIs and project codes.
  • Users find the setup ease of Martian remarkable, allowing seamless integration of APIs for efficient research.
Cons
  • Users find the time-consuming setup process challenging, requiring multiple steps to start using Martian effectively.
  • Users find the difficult setup process time-consuming, requiring multiple steps to get started with Martian.
  • Users feel the price of Martian is too high, suggesting better pricing options could enhance its appeal.
  • Users note that the learning curve is steep, requiring significant time and knowledge of ML to master Martian.
  • Users find the model limitations of Martian restrict usability for those dedicated to one specific model.

What Are Recent G2 Reviews of Martian?

Textual.ai

The AI powered translation agency! GPT for Enterprise! Best platform for complex needs using AI, LLM's and Business rules. Text generation, translations and AI. Textual.ai is suitable for enterprises that want to leverage Generative AI and stay in control over the complete processes. Using no-code pipelines, rules and smart automations to make the best of your AI investment. With Textual.ai you can use AI for it's creativity, at the same time be in full control over what the AI creates. From within the platform, users can also access manual services such as human-in-the-loop, proofreading of translations and copywriting help. Trusted by John Lewis & Partners, Dustin, NA-KD, Ellos.

Average Rating: 4.0/5.0

Total Reviews: 12

Who Is the Company Behind Textual.ai?

  • Seller: Textual.ai
  • Year Founded: 2014
  • HQ Location: Göteborg, Västra Götaland
  • LinkedIn® Page: www.linkedin.com
    13 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 58% Small, 25% Medium

What Do G2 Reviewers Say About Textual.ai?

AI-generated summary from verified user reviews

Pros
  • Users value the high-quality product descriptions and instant translation features of Textual.ai for diverse client needs.
  • Users value the collaboration features of Textual.ai, facilitating seamless communication and translation for diverse client needs.
  • Users value the responsive customer support of Textual.ai, enhancing their organization’s operational flexibility and efficiency.
  • Users value the efficiency of Textual.ai, benefiting from instant translations and automated workflows for improved results.
  • Users value the flexibility of Textual.ai, tailoring services to fit their organizational needs effectively.
Cons
  • Users note that Textual.ai's lack of creativity requires additional guidance for nuanced writing tasks and client needs.
  • Users find it bit pricy for mid-scale businesses, which may limit its accessibility for some users.
  • Users find that Textual.ai lacks creative writing features, often requiring additional guidance for optimal performance.

What Are Recent G2 Reviews of Textual.ai?

Check Point AI Agent Security

Check Point AI Agent Security is a security platform for discovering, governing, and protecting AI agents that organizations build and deploy. It provides visibility into AI agents across supported cloud and low-code platforms, including their tools, Model Context Protocol (MCP) servers, permissions, and connected components. The platform assesses agent risk to help security teams identify unknown agents, risky configurations, excessive access, and other security exposures. AI Agent Security also provides runtime protection through AI Guardrails, an inline enforcement layer that inspects prompts, model responses, tool calls, tool responses, and agent actions in real time. Administrators can define security policies, control access to tools and MCP servers, block or log unsafe activity, and monitor security events through centralized management and analytics.

Average Rating: 4.2/5.0

Total Reviews: 11

Who Is the Company Behind Check Point AI Agent Security?

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 50% Small, 33% Medium

What Do G2 Reviewers Say About Check Point AI Agent Security?

AI-generated summary from verified user reviews

Pros
  • Users find Check Point AI Agent Security to be a highly effective tool against AI threats, enhancing their protection significantly.
Cons
  • Users find Check Point AI Agent Security expensive and lacking in personal customization options, affecting overall satisfaction.
  • Users find the limited customization options frustrating, especially considering the high cost of the Check Point AI Agent Security.

What Are Recent G2 Reviews of Check Point AI Agent Security?

nebulaONE AI

NebulaONE is a secure, affordable, Microsoft-based AI gateway that allows organizations to deploy no-code Enterprise AI in their private Microsoft Azure environment. NebulaONE is unlike traditional AI SaaS platforms and is not licensed per user per month. NebulaONE is a value-based consumption platform in which you truly pay for what you use. If you are looking to rapidly prototype or legitimately go from Pilot to Production across your organization in an expedited fashion, and quickly realize ROI, nebulaONE AI is the enterprise platform for your organization.

Average Rating: 4.8/5.0

Total Reviews: 9

Who Is the Company Behind nebulaONE AI?

  • Seller: Cloudforce
  • Year Founded: 2010
  • HQ Location: National Harbor, US
  • LinkedIn® Page: www.linkedin.com
    95 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Higher Education
  • Company Size: 67% Large, 33% Medium

What Do G2 Reviewers Say About nebulaONE AI?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of nebulaONE AI, praising its simplicity and seamless integration into existing systems.
  • Users praise the excellent customer support from Cloudforce, noting high responsiveness and engagement when needed.
  • Users praise the deployment ease of nebulaONE AI, enabling swift integration and adaptation within existing systems.
  • Users value the cost-effective pricing of nebulaONE AI, enabling broad access to AI tools without risk.
  • Users highlight the easy integrations of nebulaONE AI, enabling rapid deployment and seamless onboarding of teams.
Cons
  • Users are concerned about the expensive support and maintenance charges associated with the new nebulaONE AI product.
  • Users highlight a notable learning curve for first-time use, particularly with prompt design and agent instructions.
  • Users find the administrator tools somewhat limited, lacking robust capabilities for insights and reporting.
  • Users note missing features due to reliance on external models, impacting functionality and resulting in requests for additional tools.
  • Users face model availability issues due to reliance on external factors, affecting functionality and integration expectations.

What Are Recent G2 Reviews of nebulaONE AI?

Thunder Compute

Thunder Compute is a cloud infrastructure platform that provides access to GPUs for AI development, model training, inference, and other accelerated computing workloads. It is designed for developers, startups, researchers, and engineering teams that need on-demand GPU capacity without managing physical hardware or long-term cloud commitments. The platform’s core offering is GPU compute instances that can be launched and managed through a self-serve workflow. Users can provision machines with different classes of GPUs depending on their workload requirements, including options suited for experimentation as well as larger-scale production use. Typical use cases include fine-tuning models, running inference APIs, training smaller and mid-sized machine learning workloads, batch jobs, and development environments for GPU-based software. A defining part of Thunder Compute is its focus on cost efficiency. The company positions itself as a lower-cost alternative to larger hyperscale cloud providers, with pricing intended to make GPU access more affordable for smaller teams and independent developers. In practice, this means users can access high-performance GPUs on an hourly basis rather than through large reserved contracts or enterprise procurement cycles. This model is especially relevant for teams that need flexibility in usage or want to avoid overcommitting infrastructure spend early on. Thunder Compute also emphasizes ease of use. Rather than requiring deep infrastructure expertise, it aims to let users start GPU workloads quickly through a straightforward interface and developer-oriented tooling. The product is built around the idea that cloud GPU access should feel more like launching a developer environment than navigating a highly complex enterprise cloud stack. This can be appealing to teams that want to move quickly and prioritize product or research work over infrastructure configuration. From an infrastructure perspective, Thunder Compute is focused specifically on GPU cloud services rather than being a broad general-purpose cloud platform. That specialization allows it to concentrate product decisions around the needs of GPU users, such as instance availability, performance, templates, snapshots, and workflows tailored to machine learning and related workloads. The platform is also positioned around reliability and operational simplicity. For customers, that generally means being able to launch instances, run workloads, and manage environments without piecing together multiple vendors or layers of orchestration themselves. It is intended to serve both early prototyping and more repeatable production-style usage, depending on workload needs. Thunder Compute can be described as a specialized GPU cloud provider. Its value proposition centers on three things: lower cost than major legacy cloud providers, a simpler self-serve experience for GPU users, and infrastructure purpose-built for AI and accelerated computing workloads. For organizations that primarily care about accessing GPUs quickly and cost-effectively, Thunder Compute presents itself as an alternative to more complex or expensive cloud options.

Average Rating: 4.3/5.0

Total Reviews: 8

Who Is the Company Behind Thunder Compute?

  • Seller: Thunder Compute
  • Year Founded: 2024
  • HQ Location: San Francisco, CA
  • Twitter: @thundercompute
    253 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 88% Small

What Are Recent G2 Reviews of Thunder Compute?

Amazon SageMaker

Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools and infrastructure, streamlining the entire ML workflow from data preparation to model deployment. With SageMaker, users can quickly connect to training data, select and optimize algorithms, and deploy models in a secure and scalable environment. Key Features and Functionality: - Integrated Development Environments (IDEs): SageMaker offers a unified, web-based interface with built-in IDEs, including JupyterLab and RStudio, facilitating seamless development and collaboration. - Pre-built Algorithms and Frameworks: It includes a selection of optimized ML algorithms and supports popular frameworks like TensorFlow, PyTorch, and Apache MXNet, allowing flexibility in model development. - Automated Model Tuning: SageMaker can automatically tune models to achieve optimal accuracy, reducing the time and effort required for manual adjustments. - Scalable Training and Deployment: The service manages the underlying infrastructure, enabling efficient training of models on large datasets and deploying them across auto-scaling clusters for high availability. - MLOps and Governance: SageMaker provides tools for monitoring, debugging, and managing ML models, ensuring robust operations and compliance with enterprise security standards. Primary Value and Problem Solved: Amazon SageMaker addresses the complexity and resource-intensive nature of developing and deploying ML models. By offering a fully managed environment with integrated tools and scalable infrastructure, it accelerates the ML lifecycle, reduces operational overhead, and enables organizations to derive insights and value from their data more efficiently. This empowers businesses to innovate rapidly and implement AI solutions without the need for extensive in-house expertise or infrastructure management.

Average Rating: 4.3/5.0

Total Reviews: 54

Who Is the Company Behind Amazon SageMaker?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    147,094 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 33% Large, 33% Medium

What Do G2 Reviewers Say About Amazon SageMaker?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use of Amazon SageMaker exceptional, allowing quick adaptation and straightforward model training.
  • Users value the seamless AI integration of Amazon SageMaker, streamlining the entire machine learning lifecycle efficiently.
  • Users appreciate the superior computing power of Amazon SageMaker, significantly reducing model training time and enhancing productivity.
  • Users praise Amazon SageMaker for its efficient training process, drastically reducing model training time and simplifying functionality.
  • Users highlight the fast processing of Amazon SageMaker, significantly reducing model training time and enhancing productivity.
Cons
  • Users find that Amazon SageMaker can become expensive, particularly with long-running jobs and complex pricing structures.
  • Users find the complex pricing structure of Amazon SageMaker can lead to unexpected costs and confusion.
  • Users find the complexity of pricing in SageMaker challenging, often leading to unexpected costs and confusion.
  • Users find the steep learning curve for Amazon SageMaker challenging, particularly for those new to AWS services.
  • Users find a difficult learning curve during the initial setup of Amazon SageMaker, impacting usability.

What Are Recent G2 Reviews of Amazon SageMaker?

What Are G2 Users Discussing About Amazon SageMaker?

elvex

elvex is an innovative agent platform designed to transform every employee into an AI-native worker, facilitating a seamless integration of artificial intelligence into daily tasks. Unlike traditional AI solutions that often leave employees struggling to realize the full potential of AI, elvex provides structured guidance and support, enabling users to harness AI capabilities effectively and efficiently. This platform addresses the common challenge faced by organizations: while many invest heavily in AI technologies, the actual adoption and utilization of these tools remain low, often limited to a small percentage of the workforce. The primary target audience for elvex includes organizations looking to enhance their workforce's productivity through AI integration. Employees across various roles can benefit from elvex, as it empowers them to explore and utilize AI tools tailored to their specific needs. The platform is particularly valuable for those who may not have the technical expertise or time to navigate the complexities of AI, offering a user-friendly interface that guides them through the process of discovering and implementing AI solutions. By breaking down barriers to AI adoption, elvex fosters a culture of innovation and collaboration within teams. One of the standout features of elvex is its built-in guidance system, which helps employees understand what AI can do for them and how to achieve better results based on their roles and existing tools. As users become more proficient, the platform evolves alongside them, introducing new capabilities and integrations that automate previously time-consuming tasks. This dynamic learning environment ensures that employees are not only using AI but are also continuously improving their skills and workflows without the need for prompt engineering. Moreover, elvex allows users to create custom agents and connect various AI models or productivity tools, enabling the development of multi-step workflows with triggers and automation. Its model-agnostic approach ensures that teams can access the most suitable AI solutions for their tasks without being restricted to a single provider. The collaborative workspaces within elvex facilitate the sharing of successful workflows among employees, promoting organic adoption and encouraging a community-driven approach to AI utilization. For IT and security teams, elvex serves as a control layer that transforms their role from being perceived as "AI blockers" to "AI enablers." The platform includes robust permissions, analytics, and model governance features, providing management with insights into AI usage, value generation, and future investment opportunities. With certifications such as SOC 2 Type 2 and HIPAA, elvex ensures data security and compliance, maintaining full audit logs while keeping user data encrypted and separate from model training processes. This comprehensive approach positions elvex as a powerful tool for organizations aiming to cultivate an AI-native workforce.

Average Rating: 4.6/5.0

Total Reviews: 10

Who Is the Company Behind elvex?

  • Seller: elvex
  • Year Founded: 2023
  • HQ Location: Remote, US
  • LinkedIn® Page: www.linkedin.com
    21 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 70% Medium, 20% Large

What Do G2 Reviewers Say About elvex?

AI-generated summary from verified user reviews

Pros
  • Users praise the seamless AI integration of Elvex, enhancing team productivity and data-driven decision-making effortlessly.
  • Users value the workflow efficiency of elvex, enhancing collaboration and simplifying AI integration across teams.
  • Users praise the ease of use of elvex, enabling quick AI integration without technical barriers.
  • Users value the easy integrations of elvex, enabling quick access to business data and AI tools for everyone.
  • Users appreciate the excellent community support from Elvex, making it easy to resolve issues with real assistance.
Cons
  • Users face complexity issues when creating agents and automating workflows, requiring multiple attempts and troubleshooting.
  • Users find the learning curve steep due to frequent changes, requiring time to adapt to new features.
  • Users find the difficult navigation in elvex challenging due to the overwhelming number of "assistants" present.
  • Users find the feature complexity challenging due to frequent changes, requiring time to adapt despite strong support.
  • Users find the video compatibility issues of Elvex limiting for their multimedia needs and preferences.

What Are Recent G2 Reviews of elvex?

PromptPrivacy

Prompt Privacy is a cutting-edge, first-generation artificial intelligence operating system that has been specifically developed to address the growing need for privacy and security in the AI-age. With its unique no-code design, Prompt Privacy offers a user-friendly and intuitive platform for professionals, commercial companies, and enterprises to harness the power of artificial intelligence without compromising sensitive data.

Average Rating: 4.5/5.0

Total Reviews: 9

Who Is the Company Behind PromptPrivacy?

Who Uses This Product?

  • Company Size: 67% Medium, 22% Small

What Do G2 Reviewers Say About PromptPrivacy?

AI-generated summary from verified user reviews

Pros
  • Users find PromptPrivacy to be very easy to use, ensuring a hassle-free experience for writing prompts.
  • Users value the robust data analytics of PromptPrivacy, which aids in understanding market trends and strategies effectively.
  • Users find it easy to create privacy policies for their apps and websites using PromptPrivacy.
  • Users find PromptPrivacy's user-friendly interface and robust features ideal for effective sales management and analytics.
  • Users find the implementation ease of PromptPrivacy exceptional, enabling effortless use and prompt creation for everyone.
Cons
  • Users find the AI limitations in PromptPrivacy concerning, especially regarding its current knowledge and support issues.
  • Users find it difficult to set up PromptPrivacy without an open-source version to test prior to purchasing.
  • Users express concerns about the lack of integration features that hinder comprehensive security measures and overall user experience.
  • Users express concern over limited access to features, restricting the usability of PromptPrivacy's offerings.
  • Users find the limited customization options frustrating, especially those seeking advanced features and flexibility.

What Are Recent G2 Reviews of PromptPrivacy?

Dynamiq

Dynamiq is an end-to-end operating platform for agentic and GenAI applications. From model fine-tuning to multi-agent orchestration, we cover the entire GenAI lifecycle. Everything you need - from guardrails and evaluations to deployment - is all in one place. So whether you’re a developer or a business leader, you can rapidly prototype, deploy, and scale your GenAI solutions without switching between tools.

Average Rating: 4.4/5.0

Total Reviews: 7

Who Is the Company Behind Dynamiq?

Who Uses This Product?

  • Company Size: 86% Small, 29% Medium

What Do G2 Reviewers Say About Dynamiq?

AI-generated summary from verified user reviews

Pros
  • Users find Dynamiq's ease of use remarkable, enabling quick deployment and efficient management of complex AI solutions.
  • Users appreciate the AI integration features of Dynamiq, enabling easy automation and reliable model fine-tuning.
  • Users commend Dynamiq for its deployment ease, enabling simple prototyping and testing within their own infrastructure for enhanced control.
  • Users value the efficiency of Dynamiq, allowing rapid deployment and streamlined prototyping in the GenAI space.
  • Users appreciate the flexibility of Dynamiq, enabling easy prototyping and deployment for enhanced control and data security.
Cons
  • Users dislike the limited third-party integrations, which hinder seamless connectivity with other tools and platforms.
  • Users desire more integrations with Dynamiq, such as an OCR module, to enhance connectivity and functionality.
  • Users feel Dynamiq has limited deployment features compared to peer competitors, impacting overall functionality.
  • Users feel the lack of missing features limits capabilities, wishing for more integrations and deployment options.

What Are Recent G2 Reviews of Dynamiq?

Fullstory

Fullstory is a behavioral data and analytics platform that helps technology leaders and digital experience teams understand their digital story so they can drive better digital experiences. Customer-centric enterprises rely on Fullstory to uncover and eliminate the friction buried between clicks and across workflows, turning frustrated visitors and employees into unwavering advocates. From proactively highlighting areas for optimization to triggering real-time personalization that genuinely resonates, Fullstory’s behavioral data with agentic AI provides deeper and more immediately actionable insights beyond conventional web and product analytics. While other tools require extensive manual tagging that can lead to missed insights, Fullstory automatically collects, structures, and enriches the full spectrum of behavioral data from digital activities. Diagnostics on what users play and pause, what they copy and paste, where they zoom in & out, what apps are in use, then translates those behaviors into actions, insights, and recommendations, all aiding to improve customer and employee journeys. Agentic AI proactively highlights issues and provides recommendations to eliminate gaps in the digital experience, driving improved business outcomes. With a deeper understanding of customer and employee journeys, Fullstory provides the context needed to improve digital experiences, accelerate decision-making, and create human-centered experiences that drive revenue and reduce spend, faster.

Average Rating: 4.5/5.0

Total Reviews: 1,033

Who Is the Company Behind Fullstory?

  • Seller: Fullstory
  • Company Website:
  • Year Founded: 2014
  • HQ Location: Atlanta, GA
  • Twitter: @fullstory
    4,890 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    548 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Product Manager, Senior Product Manager
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 44% Medium, 37% Small

What Do G2 Reviewers Say About Fullstory?

AI-generated summary from verified user reviews

Pros
  • Users find Fullstory's intuitive user interface easy to navigate, enhancing their overall experience and efficiency.
  • Users value Fullstory for its ability to illuminate customer feedback, enhancing understanding of user behavior and issues.
  • Users appreciate the responsive customer support from Fullstory, enhancing experience and ensuring effective tool usage.
  • Users value the ease of use and insightful support from Fullstory, enhancing their understanding of user behavior.
  • Users appreciate the detailed data analytics from FullStory, enabling insight into customer behavior and experience improvements.
Cons
  • Users report a steep learning curve, but appreciate the helpful support for navigating the complex features.
  • Users face customization limitations and performance issues, making the tool less effective for their needs.
  • Users find missing features in FullStory, such as time filtering and better historical data access, limiting usability.
  • Users find difficulty in data governance and customization, making reporting and sharing complex for new users.
  • Users express frustration with limited features, especially regarding journey creation and data sharing options.

What Are Recent G2 Reviews of Fullstory?

What Are G2 Users Discussing About Fullstory?

PromptsGenii (AI Image Prompt Creator)

"Create Prompts using Visuals! Designed to assist content creators in crafting stunning prompts with the power of visual filters, all while helping you reduce your AI art generator credits.Spend Less, Create More: Craft Unique AI Art Prompts Effortlessly and Supercharge Your Creative Journey. Also providing the Prompts Library and Digital Magazine to users"

Average Rating: 4.3/5.0

Total Reviews: 6

Who Is the Company Behind PromptsGenii (AI Image Prompt Creator)?

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About PromptsGenii (AI Image Prompt Creator)?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the quick and helpful customer service that enhances their overall experience with PromptsGenii.
  • Users commend the responsive customer support of PromptsGenii, appreciating timely assistance and follow-up communications.
  • Users appreciate the intuitive design of PromptsGenii, which accelerates the creative process for AI-generated visuals.
  • Users value the efficiency of PromptsGenii, significantly reducing the credits needed for image creation tasks.
  • Users value the free services of PromptsGenii, including an updated prompts gallery and resource-efficient performance.
Cons
  • Users desire better integration with image-generation tools for increased control and flexibility in prompts.
  • Users desire greater control over prompt parameters and integration options, suggesting enhancements for improved flexibility.

What Are Recent G2 Reviews of PromptsGenii (AI Image Prompt Creator)?

Together.ai

Together AI is a cloud-based AI development platform that gives developers and enterprises fast, flexible access to the leading open-source large language models through serverless and dedicated inference APIs. The platform hosts an extensive model library — including Llama, DeepSeek, Qwen, Mistral, and others — and delivers high-performance inference through serverless, batch, and dedicated endpoints, enabling teams to build and scale AI applications without managing underlying infrastructure. With transparent, consumption-based pricing and purpose-built GPU clusters powered by NVIDIA's latest hardware, Together AI is designed for AI-native companies that need production-grade reliability at scale. Beyond inference, Together AI provides a full model development lifecycle through its fine-tuning and evaluation tools, allowing teams to shape open-source models with their own data and rigorously measure output quality before deployment. The platform extends further into compute infrastructure with self-service GPU clusters, managed storage, and sandboxed development environments, making it a unified destination for teams moving from experimentation to production. Backed by original systems research — including contributions to FlashAttention and custom inference optimization techniques — Together AI combines frontier infrastructure performance with developer-friendly tooling to help organizations build faster and more cost-effectively than cloud hyperscalers typically allow.

Average Rating: 4.0/5.0

Total Reviews: 6

Who Is the Company Behind Together.ai?

Who Uses This Product?

  • Company Size: 50% Medium, 33% Large

What Do G2 Reviewers Say About Together.ai?

AI-generated summary from verified user reviews

Pros
  • Users find Together.ai incredibly easy to use, allowing for rapid access to diverse models with minimal setup.
  • Users love the accessible open source models on Together.ai, enabling direct exploration via easy API access.
  • Users love the free services provided by Together.ai, enabling easy access to various open source models through the API.
  • Users appreciate the ease of implementation with Together.ai, finding the setup process straightforward and user-friendly.
  • Users value the extensive open source model integrations of Together.ai, benefitting from easy API access and free options.
Cons
  • Users feel that there is limited access to models, impacting their ability to fully utilize Together.ai.
  • Users warn of payment issues, noting unexpected bills can arise if testing is not managed carefully.
  • Users find the poor documentation of Together.ai challenging, especially for those lacking coding skills, leading to confusion.
  • Users warn that technical expertise is required, as beginners may struggle with the lack of comprehensive documentation.

What Are Recent G2 Reviews of Together.ai?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated April 9, 2026