Best AI Agent Builders Software - Page 3

How Many AI Agent Builders Software Products Does G2 Track?

Total Products under this Category: 722

Category Stats (Oct 2026)

  • Average Rating: 4.62/5 (↓0.01 vs Sep 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Frontier (+1.19%) - Among all products in this category, Frontier recorded the largest rating increase compared to last month

Last updated: October 01, 2026

How Does G2 Rank AI Agent Builders Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 91,100+ Authentic Reviews
  • 722+ 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 AI Agent Builders Software

G2 Grid® for  AI Agent Builders Software plotting products by satisfaction and market presence

Highlighted products: Salesforce Agentforce, Notion, UiPath Agentic Automation, ClickUp, OutSystems, Asana, ServiceNow AI Agents, and Databricks.

Underlying data: [Grid® JSON](https://www.g2.com/categories/ai-agent-builders/grids.json?focus%5B%5D=salesforce-agentforce&focus%5B%5D=notion&focus%5B%5D=uipath-agentic-automation&focus%5B%5D=clickup&focus%5B%5D=outsystems&focus%5B%5D=asana&focus%5B%5D=servicenow-ai-agents&focus%5B%5D=databricks)

SnapLogic Agentic Integration and Applied AI Platform

The SnapLogic Platform is an agentic integration and automation solution designed to assist enterprise teams in connecting applications, data sources, and APIs while orchestrating AI-powered workflows across both cloud and on-premises environments. Established in 2006 and headquartered in San Mateo, California, SnapLogic serves a diverse range of industries, including financial services, pharmaceuticals, manufacturing, software, and higher education, with a global presence across North America, Europe, and Asia Pacific. Targeted primarily at IT teams, data engineers, and integration specialists, the SnapLogic Platform addresses the critical need for seamless data movement between systems, automation of business processes, and governance of AI agent activities at scale. The platform supports various use cases, including application integration, data pipeline management, API lifecycle management, legacy system modernization, and enterprise AI orchestration. This versatility makes it a valuable tool for organizations looking to enhance their operational efficiency and data accessibility. Key features of the SnapLogic Platform include a visual, low-code pipeline builder that allows teams to create, test, and deploy integrations without the need for extensive coding knowledge. This drag-and-drop designer significantly reduces reliance on developer resources, enabling quicker project turnaround. Additionally, the platform boasts a pre-built Snaps connector library, offering over 1,000 reusable connectors for various enterprise applications, databases, cloud services, and data platforms. This extensive library supports both simple and complex integration patterns, streamlining the integration process. Another notable feature is SnapGPT, an AI co-pilot integrated into the platform that assists users in generating integration pipelines, suggesting data mappings, and troubleshooting issues using natural language inputs. This innovative tool enhances user experience and efficiency, making it easier for teams to navigate the complexities of integration. The platform also includes robust API management tools for creating, publishing, securing, and monitoring APIs, facilitating the exposure and consumption of data services across internal and external systems. Moreover, SnapLogic enables agentic workflow automation, allowing users to design and orchestrate AI agents that execute multi-step business processes. With built-in support for the Model Context Protocol (MCP), organizations can effectively manage agent interactions across various models and tools. The platform also supports data integration and transformation for batch, real-time, and streaming data pipelines, equipped with capabilities for mapping, enrichment, and transformation of both structured and unstructured data. Centralized monitoring and governance features provide a unified dashboard for tracking pipeline performance, managing access controls, and ensuring auditability across all integration and automation activities. The SnapLogic Platform addresses common challenges organizations face when scaling their technology operations: fragmented data across disconnected systems, high integration development costs, and the complexity of deploying AI in regulated or mission-critical environments. By providing a unified platform for both traditional integration and agentic automation, it reduces reliance on custom-coded connectors and enables teams to build and manage integrations without requiring deep software engineering expertise.

Average Rating: 4.4/5.0

Total Reviews: 380

Who Is the Company Behind SnapLogic Agentic Integration and Applied AI Platform?

  • Seller: SnapLogic
  • Company Website:
  • Year Founded: 2006
  • HQ Location: San Mateo, CA
  • Twitter: @SnapLogic
    7,348 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    306 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Consultant
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 46% Large, 36% Medium

What Do G2 Reviewers Say About SnapLogic Agentic Integration and Applied AI Platform?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of SnapLogic IIP, enabling quick connections and streamlined workflows without extensive coding.
  • Users highly value the easy integrations offered by SnapLogic, making complex data management tasks simple and efficient.
  • Users appreciate the easy integration capability of SnapLogic, enabling seamless connections between various tools and systems.
  • Users appreciate the intuitive user interface of SnapLogic IIP, enabling easy and efficient complex integrations.
  • Users value the automation capabilities of SnapLogic IIP, streamlining complex integrations and enhancing workflow efficiency.
Cons
  • Users face performance issues with slow loading and frequent memory problems when handling large datasets in SnapLogic.
  • Users find technical difficulties with SnapLogic, including complex transformations, debugging challenges, and performance issues.
  • Users experience poor performance when processing large workloads, leading to frustration and inefficiency during integration tasks.
  • Users find the debugging complexity challenging, leading to confusion and impacting their overall experience with SnapLogic IIP.
  • Users find that error reporting lacks detail, making troubleshooting a time-consuming and confusing process.

What Are Recent G2 Reviews of SnapLogic Agentic Integration and Applied AI Platform?

What Are G2 Users Discussing About SnapLogic Agentic Integration and Applied AI Platform?

Automation Anywhere Agentic Process Automation

Automation Anywhere Agentic Process Automation (APA) is an enterprise platform that orchestrates AI agents, RPA bots, APIs, documents, and human expertise as a single governed system of work. APA transforms what is possible with automation — orchestrating every instrument of work across every system, with execution grounded in process expertise, and end-to-end process governance across every agent, every step, and every decision. It turns individual capabilities into compounded business transformation. With the APA platform, you can optimize what already runs your business and expand into what has never been feasible before. What's inside the platform Process Reasoning Engine (PRE) — the decision layer. Goal-driven AI agents plan, act, adapt, and self-correct in real time as conditions change. Mozart Orchestrator — a unified composer that manages decisions, dependencies, context, and exceptions across agents, automations, documents, and APIs. AI Agent Studio — a low-code workspace for building AI agents on foundational models from Amazon Bedrock, Google Vertex AI, Azure OpenAI, OpenAI, and others. Automator AI — generative AI–powered automation development across any application, cloud or on-premises. Document Automation — processes unstructured documents at over 95% accuracy, and 5x faster with Cloud Extraction Service for large-scale extraction. Process Discovery — surfaces bottlenecks and identifies what to automate next. Automation Co-Pilot — triggers multi-step agentic workflows in natural language, inside the applications teams already use. Governance built in, not bolted on Every agent, action, and decision runs inside enterprise controls: fine-grained role-based access control (RBAC), AES-256 encryption at rest, TLS in transit, native audit logs with SIEM integration, and human-in-the-loop oversight. Automation Anywhere maintains SOC 1 Type 2, SOC 2 Type 2, ISO 27001, ISO 22301, and HITRUST certifications, and supports GDPR compliance. Proven in production 1,500+ live APA deployments, 400M+ automations run per year, and 1.8M+ unique AI agent executions across 26 global regions. Bancolombia — 1,300% ROI in the first year and a 50% increase in customer service efficiency JBS — $1M and 125,000 hours saved in IT Granite Telecom — $635,000 in monthly savings and 15,000 hours saved per month Ricoh — 500 days of operational time saved per month SoftBank Corp. — 85% reduction in recruitment hours Who it's for Enterprise operations, IT, finance, HR, customer service, and shared services teams in banking, insurance, healthcare, life sciences, manufacturing, telecommunications, and the public sector — wherever complex, cross-system work has to run reliably and be governed. Learn more at https://www.automationanywhere.com.

Average Rating: 4.5/5.0

Total Reviews: 4,149

Who Is the Company Behind Automation Anywhere Agentic Process Automation?

  • Seller: Automation Anywhere
  • Company Website:
  • Year Founded: 2003
  • HQ Location: San Jose, CA
  • Twitter: @AutomationAnywh
    55,050 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,327 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: RPA Developer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 58% Large, 23% Medium

What Do G2 Reviewers Say About Automation Anywhere Agentic Process Automation?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use in Automation Anywhere Agentic Process Automation for simplifying RPA bot creation and management.
  • Users value the ease of automating repetitive tasks with Automation Anywhere, enhancing productivity and efficiency effortlessly.
  • Users appreciate the efficiency of Automation Anywhere, highlighting its ease of use and significant impact on productivity.
  • Users value the automation ease of Automation Anywhere, enabling non-coders to effortlessly build bots and streamline tasks.
  • Users appreciate the intuitive interface of Automation Anywhere, making automation easy and enhancing overall efficiency.
Cons
  • Users find Automation Anywhere's pricing model to be expensive and complex, which can be challenging for small teams.
  • Users find the steep learning curve challenging, especially for beginners navigating advanced features and debugging workflows.
  • Users find the missing features of Automation Anywhere Agentic Process Automation frustrating, limiting their workflow capabilities.
  • Users experience software bugs causing issues like errors in automation and problems with browser extensions.
  • Users often face bot issues including complex debugging and integration challenges, affecting overall usability and performance.

What Are Recent G2 Reviews of Automation Anywhere Agentic Process Automation?

What Are G2 Users Discussing About Automation Anywhere Agentic Process Automation?

Frontier

Frontier is a new enterprise AI platform from OpenAI for building, deploying, and managing autonomous AI agents across a company’s tech stack. It’s basically a centralized place to run “AI coworkers” that can interact with real systems and workloads, not just chat.

Average Rating: 4.3/5.0

Total Reviews: 63

Who Is the Company Behind Frontier?

  • Seller: OpenAI
  • Year Founded: 2015
  • HQ Location: San Francisco, CA
  • Twitter: @OpenAI
    4,941,980 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    10,438 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Accounting, Consumer Services
  • Company Size: 61% Small, 22% Medium

What Are Recent G2 Reviews of Frontier?

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Realm

Realm is an AI platform for revenue teams that transforms company knowledge into intelligent, automated workflows. By connecting to and indexing knowledge from across documentation repositories, CRM systems, sales collateral, and communication platforms, Realm enables companies to scale revenues without increasing headcount. Realm has three main features. Through a familiar chat interface, Realm delivers intelligent, conversational search across the full breadth of company knowledge, leveraging semantic understanding to provide highly relevant, accurate, and permissions-aware answers. The RFx tool streamlines RFPs, RFIs, and security assessments by intelligently drawing on internal knowledge and previous responses, without having to manually update a knowledge base. This significantly reduces manual effort for proposal and sales enablement teams, accelerates deal cycles, and ensures consistent, high-quality responses at scale. Realm also allows organizations to create customized AI agents tailored to specific revenue workflows. These agents can automate multi-step processes, from handling customer inquiries and onboarding to supporting internal enablement and knowledge management, all configured to fit unique business needs and use cases. Realm turns scattered company knowledge into actionable insights and intelligent workflows.

Average Rating: 4.8/5.0

Total Reviews: 18

Who Is the Company Behind Realm?

  • Seller: Realm
  • Year Founded: 2023
  • HQ Location: Helsinki, FI
  • LinkedIn® Page: www.linkedin.com
    18 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 100% Medium

What Do G2 Reviewers Say About Realm?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Realm, finding it efficient for gathering and organizing information seamlessly.
  • Users love Realm's intuitive integration across systems, providing instant access to knowledge and seamless workflows.
  • Users find Realm's customer support exceptional, noting its speed, reliability, and genuine care for user outcomes.
  • Users appreciate Realm for its time-saving capabilities, streamlining tasks and enhancing productivity across multiple platforms.
  • Users love the efficiency of Realm, which streamlines workflows and enhances team collaboration significantly.
Cons
  • Users note the limited features in Realm, highlighting a need for more advanced capabilities and better roadmap transparency.
  • Users face limitations in advanced configurations and data handling, requiring patience for evolving capabilities in Realm.
  • Users experience a difficult learning curve with Realm, requiring time to fully harness its powerful capabilities.
  • Users face integration issues with third-party connections in Realm, which can hinder their experience and productivity.
  • Users note a significant learning difficulty due to the complexity of configuring bots and agents for optimal use.

What Are Recent G2 Reviews of Realm?

ElevenLabs

ElevenLabs is a Voice AI company building the infrastructure for communication and creation with technology. What started as a single human-like voice model has expanded into a full platform spanning speech, music, image, and video, built around three products: ElevenCreative, ElevenAgents, and ElevenAPI. ElevenCreative gives creators and marketers everything they need to generate and edit speech, music, image, and video, all in one browser-based workspace. Core capabilities include Eleven v3 for expressive Text to Speech in 70+ languages, Scribe v2 for Speech to Text, Voice Design and Voice Cloning for character creation, and Dubbing for full-scale localization. Teams also use it for AI Sound Effects, AI Music, and Image and Video generation, alongside production tools like Studio and Voice Library. ElevenAgents enables businesses to deploy voice and chat agents at scale, with the integrations, testing, and monitoring needed for reliable customer experiences across sales, support, and operations. ElevenAPI provides programmatic access to ElevenLabs AI models for voice, music, sound effects, dubbing, and transcription, so developers can integrate these capabilities directly into their applications, workflows, and production pipelines. Enterprises integrate via SOC 2 Type 2-certified APIs and SDKs. Safety measures including Speech Classifier, watermarking, and granular voice usage controls, are built into the platform. From content creation and localization to intelligent automation, ElevenLabs unites creativity and communication, empowering teams to create, converse, and connect in any language, medium, or voice.

Average Rating: 4.5/5.0

Total Reviews: 1,236

Who Is the Company Behind ElevenLabs?

  • Seller: Eleven Labs
  • Company Website:
  • Year Founded: 2022
  • HQ Location: New York, US
  • LinkedIn® Page: www.linkedin.com
    1,296 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Founder, CEO
  • Top Industries: Computer Software, Marketing and Advertising
  • Company Size: 73% Small, 7% Medium

What Do G2 Reviewers Say About ElevenLabs?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of ElevenLabs, allowing for quick setup and efficient task completion.
  • Users appreciate the impressive quality of ElevenLabs, highlighting its natural voices and seamless user experience.
  • Users value the speed and reliability of ElevenLabs, allowing efficient task completion and enhanced production quality.
  • Users appreciate the impressive voice quality and ease of use of ElevenLabs for creating seamless voice agents.
  • Users appreciate the easy setup of ElevenLabs, allowing for a smooth integration into their workflow.
Cons
  • Users find the pricing structure quite expensive, especially for high-volume usage and with non-carryover of unused credits.
  • Users report that directing AI voice talent and integration processes need improvement, causing challenges in usability and setup.
  • Users find the pricing issues limiting, especially with high-volume needs and non-carryover credits, affecting usability.
  • Users highlight the missing features like custom datasets and flexible pricing that limit their overall experience.
  • Users experience pronunciation issues with ElevenLabs, leading to inaccuracies and frustration in voice output.

What Are Recent G2 Reviews of ElevenLabs?

Rayven

What is Rayven? Rayven is an operational software platform that delivers an AI data fabric - connecting every system, data source, and data stream across a business into a single managed environment, then letting teams build custom apps, AI agents, workflow automations, dashboards, and MCP servers for direct AI model connectivity on top. It is the platform for organisations that need to act on operational data in real-time, deploy AI that actually works in production + build software that fits the way their business operates - without replacing existing systems or waiting 18 months for results. The Problem Rayven Solves Most organisations already have the systems and data they need. The challenge is fragmentation. ERP systems, SCADA platforms, IoT devices, databases, cloud tools, and files all generate valuable data - but it sits in silos, impossible to act on in real-time. The result: manual reporting, disconnected workflows, and AI projects that fail before reaching production. Industry research shows 95% of AI projects never ship - most because the underlying data layer is not clean, connected, or ready. Rayven builds that foundation first, then activates it. The Rayven Platform Rayven operates across five unified layers, delivered as a single managed environment: - Integration: More than 600 pre-built connectors pull data from IT, OT, IoT, files, APIs, databases, and data streams - bidirectionally, in real-time. Connects industrial protocols (OPC UA, Modbus, MQTT, BACnet) alongside cloud platforms, business systems, and proprietary tools. - Data: All connected data lands in a single managed platform - structured, governed + AI-ready. Real-time processing, ETL pipelines, data lakes, and AI model training handled in one place. - Execution: Automation rules, predictive models + agentic AI run directly on live operational data. Rules-based logic, machine learning, and goal-seeking autonomous agents all operate in one execution environment. - Presentation: Custom apps, dashboards, portals, conversational interfaces, and mobile applications deployed from the same platform - built for specific workflows, not generic reporting. - Security, Governance + Hosting: Role-based access control, data lineage, audit trails, AES-256 encryption, data residency controls, and enterprise-grade infrastructure - included as standard. AI Capabilities Rayven includes ten native AI capabilities built directly into the platform: 1. Custom AI agents (goal-seeking, action-taking) 2. Predictive analytics and machine learning 3. Conversational analytics 4. Real-time and continuous model training 5. AI-led workflow automation 6. Multimodal processing (documents, video, images, audio) 7. Anomaly and risk detection 8. Forecasting and optimisation 9. Vision and edge AI inference 10. Generative operational summaries MCP server support enables direct connectivity for AI models including Claude, GPT, and others. What Gets Built Rayven customers build and deploy: - Custom operational apps and field applications. - AI agents that monitor conditions, detect anomalies + take corrective action autonomously. - Predictive maintenance and performance models running on live plant data. - Real-time dashboards and executive reporting tools. - Workflow automations spanning IT and OT systems. - Customer and partner portals. - Data pipelines and integration layers. - White-label software products delivered under partner brands. Key Differentiators vs. Point solutions (Zapier, MuleSoft, Power BI, DataRobot): point solutions do one thing well but force teams to stitch together five separate tools to cover integration, data, AI, presentation, and governance. Rayven replaces the stack. vs. Traditional enterprise platforms (SAP, Oracle, Palantir): enterprise platforms take 12-18 months and seven figures to implement. Rayven deploys in two to 12 weeks at fixed scope and fixed price. vs. Low-code app builders (Mendix, OutSystems): app builders handle the presentation layer but do not solve the underlying data and integration problem. Rayven covers the full stack. Technology Compatibility Rayven is fully technology-agnostic and works alongside existing systems: - Cloud platforms: Microsoft Azure, Google Cloud + AWS - Business systems: SAP, Salesforce, Oracle, and Microsoft 365 - OT platforms: Siemens, Rockwell, Schneider Electric, and Ignition - Industrial protocols: OPC UA, Modbus, MQTT, BACnet, and EtherNet/IP - IoT devices: any device with a data output - Custom and proprietary systems via API, webhook, or direct connector Nothing needs to be replaced. Every existing investment is preserved. Who Uses Rayven Rayven serves businesses from growth-stage to large enterprise across 24+ industries globally - manufacturing, mining, construction, infrastructure, logistics, utilities, financial services, healthcare, agriculture, government, and more. Customers across Australia, Europe, North America, South America, and Africa. Named customers include Anglo American, Fulton Hogan, Glencore, Vodafone, NSW Ports, CSIRO, Collective Intelligence, Ramjack, and AngloGold Ashanti. Delivery Options - DIY: Full platform access. Internal teams build and deploy independently. - Done-For-You: Australia-based delivery team. Fixed scope, fixed price, two to 12 weeks from brief to go-live. - Hybrid: Guided delivery first, with the customer's team taking increasing ownership over time. By the Numbers - More than 600 pre-built connectors. - Ten native AI capabilities. - More than 240 deployments live globally. - Rated 5/5 across more than 140 independent reviews. - Deploys 66% faster than traditional development. - Two to 12 weeks to first working solution. - Rayven exists to close the gap: 95% of AI projects never reach production (industry average).

Average Rating: 4.9/5.0

Total Reviews: 29

Who Is the Company Behind Rayven?

  • Seller: Rayven
  • Year Founded: 2016
  • HQ Location: Sydney, AU
  • Twitter: @RayvenIOT
    56 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    32 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Retail
  • Company Size: 69% Medium, 52% Small

What Do G2 Reviewers Say About Rayven?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Rayven, allowing seamless integration and workflow creation without coding skills.
  • Users value Rayven for its real-time data integration and seamless unification of various tools into one efficient system.
  • Users value Rayven's automation capabilities, enabling seamless integration and real-time data unification for improved performance tracking.
  • Users value the customization capabilities of Rayven, enabling tailored solutions to meet specific healthcare needs seamlessly.
  • Users value the robust data management of Rayven, enabling real-time processing and efficient automation across diverse systems.
Cons
  • Users report a steep initial learning curve due to complex setups and the need for technical knowledge.
  • Users find the difficult learning curve challenging due to overwhelming initial setup and complex feature configurations.
  • Users find the learning difficulty challenging due to the overwhelming initial setup and complex configuration processes.
  • Users find the complex setup of Rayven challenging, necessitating extensive planning for effective use and integration.
  • Users find the setup complexity challenging, often needing extra support for advanced integrations and configurations.

What Are Recent G2 Reviews of Rayven?

WRITER

WRITER is where the world’s leading enterprises orchestrate AI-powered work. With WRITER’s end-to-end platform, teams can build, activate, and supervise AI agents that are grounded in their company’s data and fueled by WRITER’s enterprise-grade LLMs. From faster product launches to deeper financial research to better clinical trials, companies are quickly transforming their most important business processes for the AI era in partnership with WRITER. Founded in 2020, WRITER delivers unmatched ROI for hundreds of customers like Accenture, Marriott, Uber, and Vanguard and is backed by investors including Premji Invest, Radical Ventures, ICONIQ Growth, Insight Partners, Balderton, B Capital, Salesforce Ventures, Adobe Ventures, Citi Ventures, IBM Ventures, and others.

Average Rating: 4.4/5.0

Total Reviews: 127

Who Is the Company Behind WRITER?

  • Seller: WRITER
  • Company Website:
  • Year Founded: 2020
  • HQ Location: San Francisco, California
  • Twitter: @Get_Writer
    7,596 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    644 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Marketing and Advertising
  • Company Size: 50% Small, 28% Medium

What Do G2 Reviewers Say About WRITER?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of WRITER, praising its straightforward setup and enhanced productivity across tasks.
  • Users find WRITER incredibly valuable for enhancing productivity, streamlining tasks and ensuring brand voice consistency in content creation.
  • Users find WRITER's AI writing assistance invaluable for boosting productivity and enhancing creative workflows seamlessly.
  • Users value WRITER for its brand voice consistency, significantly enhancing content quality and efficiency across teams.
  • Users value the writing improvement features of WRITER, enhancing their creativity and streamlining content creation.
Cons
  • Users face a notable learning curve with WRITER, requiring extra time to adapt and familiarize themselves with its features.
  • Users feel that WRITER experiences a lack of creativity, leading to repetitive and less engaging outputs.
  • Users experience a steep learning curve during setup and onboarding, requiring time to fully understand the tool.
  • Users find the AI quality lacking with robotic outputs, making it difficult to fully leverage the platform's potential.
  • Users notice the poor writing quality of WRITER, finding outputs to be robotic and lacking originality.

What Are Recent G2 Reviews of WRITER?

What Are G2 Users Discussing About WRITER?

Domo

Domo’s AI and data platform business is now part of Progress Software. Domo's cloud-native AI data readiness platform complements and significantly broadens Progress' data platform offerings, creating powerful synergies to deliver innovative, secure and scalable AI data readiness solutions worldwide. Together, these capabilities will help customers turn fragmented enterprise data and knowledge into governed, AI-ready intelligence, improving the security, governance and cost of AI-powered initiatives. Domo is the agentic platform for the intelligent enterprise, helping organizations connect, govern, activate, and distribute data and AI across their business. Built for enterprises, Domo works with existing cloud data platforms such as Snowflake, BigQuery, and Databricks to help teams turn governed data into AI-powered agents, apps, workflows, and analytics. Domo is built on three layers. The data foundation connects and governs data across cloud data platforms and business systems. The activation layer enables organizations to build AI agents, apps, workflows, automations, and dashboards on top of that foundation. The distribution layer delivers intelligence where work happens through embedded apps, mobile, dashboards, and AI assistants using Model Context Protocol (MCP). Governance underpins every layer, helping organizations scale AI and data products with security and trust. Key capabilities include: • Connecting and governing data across cloud data platforms and enterprise applications. • Building AI agents, apps, workflows, automations, dashboards, and analytics. • Delivering data and AI through dashboards, embedded apps, AI assistants, and AI agents. • Supporting both low-code and pro-code development for business and technical teams. • Applying governance, security, and access controls across data and AI. Organizations use Domo for AI agents, apps, and workflows, as well as business intelligence, operational analytics, embedded analytics, and executive reporting. By combining governed data, AI activation, app development, and distribution in a single platform, Domo helps organizations build and scale trusted data products across the enterprise.

Average Rating: 4.3/5.0

Total Reviews: 1,074

Who Is the Company Behind Domo?

  • Seller: Domo
  • Company Website:
  • Year Founded: 2010
  • HQ Location: American Fork, UT
  • Twitter: @Domotalk
    63,513 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,288 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Business Analyst
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 50% Medium, 28% Large

What Do G2 Reviewers Say About Domo?

AI-generated summary from verified user reviews

Pros
  • Users find Domo's ease of use and intuitive design invaluable for managing data efficiently and effectively.
  • Users value the flexible and user-friendly data visualization capabilities of Domo, enhancing their data analysis experience significantly.
  • Users find Domo's intuitive design empowering, facilitating easy access and effective data visualization for all skill levels.
  • Users praise Domo for its easy integrations, streamlining data management and enhancing real-time collaboration across various platforms.
  • Users value Domo's seamless integration capabilities, enabling efficient data management and real-time insights from various sources.
Cons
  • Users find the learning curve steep, often needing dedicated resources to manage updates and functionalities effectively.
  • Users report missing features in Domo, including flexibility in pivot charts and dynamic column options.
  • Users face significant data management issues with Domo, including unreliable connectors and challenging reporting functionality.
  • Users find Domo expensive, especially with drastic price increases that strain budgets and erode client trust.
  • Users find Domo's complexity hinders flexibility and speed in dataset management, making changes challenging and time-consuming.

What Are Recent G2 Reviews of Domo?

What Are G2 Users Discussing About Domo?

aiXplain

aiXplain is a comprehensive AI development platform designed to streamline the creation, deployment, and management of agentic AI solutions. It offers a suite of tools that cater to both technical and non-technical users, enabling the rapid transformation of ideas into production-ready AI applications. With access to over 40,000 AI models, large language models (LLMs), and datasets from more than 40 suppliers, aiXplain provides a versatile environment for building and customizing AI agents and pipelines.

Average Rating: 4.3/5.0

Total Reviews: 95

Who Is the Company Behind aiXplain?

  • Seller: aiXplain
  • Year Founded: 2020
  • HQ Location: San Jose, US
  • LinkedIn® Page: www.linkedin.com
    50 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 60% Small, 29% Medium

What Are Recent G2 Reviews of aiXplain?

Lyzr.ai

Lyzr is an enterprise AI agent platform that helps organizations design, deploy, and operate autonomous and semi-autonomous agents across business functions such as customer service, sales, human resources, finance, and IT. The platform brings together an agent framework, a low-code studio, and a central control plane, so teams can move AI initiatives from pilot to full production with consistency and oversight. Organizations use it to build task-specific agents for secure knowledge assistance, retrieval-augmented search, and multi-step workflow automation, improving how work gets done while keeping data protected. Lyzr is built for enterprises that want to adopt AI without replacing the systems they already run. Its model-agnostic architecture lets teams work with their preferred language models and switch between them as needs change, with no re-architecting required. The same flexibility extends to deployment: agents can run in a private cloud, a single-tenant setup, or fully on-premise, so organizations keep control of their data and operations. Governance, observability, and auditability are part of the platform itself, which is what makes Lyzr suitable for compliance-sensitive teams and production-grade reliability. At the core of the platform is an agent framework paired with Architect and Agent Studio, which together support single-task and multi-agent workflows through code, low-code, or no-code. A central registry gives teams monitoring, access control, versioning, and traceable execution logs across every agent, regardless of who built it or on which framework. Connectors, SDKs, and APIs link agents to existing tools such as CRMs, ERPs, ITSM systems, data lakes, and messaging platforms, so agents operate inside current processes rather than replacing them. The result is a faster path from prototype to production, supported by reusable components and ready-made integrations. Built-in governance keeps regulated teams audit-ready, while simulation, evaluation workflows, and version and rollback controls reduce operational risk before and after agents go live. Because integration effort stays low and models and pipelines remain interchangeable, organizations can orchestrate the systems they already have and evolve over time without being locked into a single vendor. Typical use cases include secure knowledge assistants and retrieval-augmented search for employees and customers, customer support agents that handle classification, drafting, and resolution, and sales agents that support account research, outreach sequencing, and meeting scheduling. Lyzr also powers back-office automation across HR, finance, and IT service management, making it a practical choice for cross-team, multi-step processes that need coordination across several tools and data sources.

Average Rating: 4.4/5.0

Total Reviews: 48

Who Is the Company Behind Lyzr.ai?

  • Seller: Lyzr
  • Company Website:
  • Year Founded: 2023
  • HQ Location: New York, USA
  • LinkedIn® Page: www.linkedin.com
    227 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 65% Small, 19% Large

What Do G2 Reviewers Say About Lyzr.ai?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Lyzr.ai, enabling quick setup and seamless engagement for anyone.
  • Users appreciate the setup ease of Lyzr.ai, allowing quick creation and testing of AI agents without complexity.
  • Users value the deployment ease of Lyzr.ai, enabling fast and simple AI agent development without coding expertise.
  • Users appreciate the efficiency of Lyzr.ai, enabling rapid development and deployment of AI workflows with minimal effort.
  • Users appreciate the intuitive and customizable interface of Lyzr.ai, enabling quick and effective AI agent creation.
Cons
  • Users find the poor documentation of Lyzr.ai challenging, often having to troubleshoot issues independently.
  • Users express concern over the lack of integration, limiting flexibility and ease of use in Lyzr.ai.
  • Users find the steep learning curve of Lyzr.ai challenging, complicating the promised low-code accessibility and experimentation.
  • Users feel there is limited customization in Lyzr.ai, hindering the ability to tailor the platform to specific needs.
  • Users feel the lack of ready-made templates limits their efficiency and highlights the need for more features.

What Are Recent G2 Reviews of Lyzr.ai?

Browserbase

A web browser for your AI - Browserbase offers a reliable, high performance serverless developer platform to run, manage, and monitor headless browsers at scale.

Average Rating: 4.3/5.0

Total Reviews: 50

Who Is the Company Behind Browserbase?

  • Seller: Browserbase
  • Company Website:
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    83 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 61% Small, 25% Medium

What Are Recent G2 Reviews of Browserbase?

Voiceflow

Voiceflow is a AI agent platform that empowers product teams at mid-market and enterprise companies to design, deploy, and scale AI agents across chat and voice channels. Trusted by teams at StubHub, Superloop, JP Morgan Chase, and Trilogy, Voiceflow combines an intuitive drag-and-drop agent builder with a knowledge base, content management system, and native integrations, so teams can move from prototype to production faster. Ship advanced, production-ready AI agents with a developer-first toolkit and powerful API library that supports custom integrations and tailored interfaces. Voiceflow’s built-in analytics surfaces transcripts and let’s you set your own evaluation criteria at scale. Replay conversations, debug step-by-step, filter with precision, and visualize user actions like button clicks — all in a single platform. Voiceflow is ideal for product teams building chatbots, voice assistants, virtual agents, or omnichannel customer experiences.

Average Rating: 4.5/5.0

Total Reviews: 115

Who Is the Company Behind Voiceflow?

  • Seller: Voiceflow
  • Company Website:
  • Year Founded: 2019
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    92 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Founder, CEO
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 62% Small, 15% Medium

What Do G2 Reviewers Say About Voiceflow?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the intuitive no-code building of Voiceflow, making it accessible and user-friendly for all skill levels.
  • Users appreciate the no-code building and intuitive features of Voiceflow, making chatbot creation accessible for everyone.
  • Users love the easy integrations in Voiceflow, making it simple to connect apps and enhance their projects.
  • Users appreciate the exceptional customer support of Voiceflow, highlighting helpful staff and an engaging community for assistance.
  • Users commend the easy-to-use integrations of Voiceflow, enabling seamless app connections and enhancing user experience.
Cons
  • Users find that Voiceflow lacks necessary features, like dark mode and improved tools for voice transcribing.
  • Users face usage limitations with Voiceflow, including restricted integrations and reliance on built-in AI credits.
  • Users find integration issues challenging, wishing for clearer guidance and more accessible options during setup.
  • Users note the limited features of Voiceflow, desiring better integrations and more guidance during setup.
  • Users find the complexity and steep learning curve of Voiceflow challenging, especially for more advanced functionalities.

What Are Recent G2 Reviews of Voiceflow?

What Are G2 Users Discussing About Voiceflow?

Airia

Airia is the enterprise AI platform built to help organizations take control of AI at scale. AI is moving fast. Enterprises are deploying models, building agents, and automating workflows across every part of the business. Most have no unified way to see it, secure it, or govern it. The result is ungoverned AI sprawl, compounding risk, and little visibility into what AI is actually doing. Airia solves that. The platform unifies AI security, AI governance, and AI orchestration in a single, purpose-built solution. Organizations use Airia to detect and defend against AI-specific threats like prompt injection, data leakage, and shadow AI, enforce granular policies and controls that keep AI behavior trustworthy and accountable, and orchestrate models and agents across complex multi-step workflows. Every capability is designed to work together, so security, governance, and operations teams are finally working from the same picture. Airia was built AI-native from day one. That means AI isn't bolted on. It's embedded throughout the architecture, continuously monitoring model and agent behavior, enforcing policy at runtime, and surfacing the risks that matter before they become incidents. Trusted by 500+ enterprise customers worldwide, Airia gives organizations the confidence to scale AI broadly without sacrificing control, compliance, or security.

Average Rating: 4.6/5.0

Total Reviews: 35

Who Is the Company Behind Airia?

  • Seller: Airia
  • Year Founded: 2023
  • HQ Location: Atlanta, US
  • LinkedIn® Page: www.linkedin.com
    161 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 47% Medium, 39% Small

What Do G2 Reviewers Say About Airia?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Airia, enabling quick deployment and a seamless experience for their teams.
  • Users highlight the exceptional customer support of Airia, noting responsiveness and a genuine investment in user success.
  • Users appreciate the easy setup of Airia, allowing quick implementation and flexible agent creation with excellent support.
  • Users appreciate the integrated chat feature of Airia, making it easy to deploy AI solutions effortlessly.
  • Users benefit from the high deployment efficiency of Airia, simplifying AI integration across businesses with strong support.
Cons
  • Users experience access limitations due to fewer integrations and lacking robust security roles compared to competitors.
  • Users often face call quality issues that can disrupt communication, though support is responsive and helpful.
  • Users report occasional dependency issues with API calls failing, though support and documentation improvements are helpful.
  • Users often face a steep learning curve with Airia, making it difficult to navigate industry-specific features.
  • Users note the limited features of Airia, particularly regarding fewer integrations compared to competitors and lacking RBAC functionality.

What Are Recent G2 Reviews of Airia?

Botpress

Botpress is the enterprise-grade AI agent platform for customer support. Founded as an AI agent company, Botpress has spent 10 years building the infrastructure that makes enterprise-grade AI support possible, with over 750,000 agents shipped. Botpress offers a complete platform for building, deploying, and managing AI-powered customer support experiences. Its AI-native helpdesk combines ticket management, routing, agent workspaces, analytics, and customer communication channels in a single system, allowing AI agents and human agents to collaborate seamlessly while preserving full conversation context. Organizations can either integrate it with existing platforms such as Zendesk, Intercom, and Freshdesk or use it as a standalone solution. For teams that want to build their own AI agents, Botpress provides Studio, a visual no-code builder with integrations, knowledge base connectivity, and multi-channel deployment. Technical teams can also use the Agent Development Kit (ADK), a code-first framework that provides full control over agent logic, integrations, and behavior. Botpress can handle the tickets that every other tool escalates, due to its deep history is AI agent infrastructure. There is no technical ceiling on what it can do, and developer-level control is available for teams that need to go further. Botpress works on top of any existing helpdesk as an overlay or as a fully standalone helpdesk. In 2025, Botpress raised a $25M Series B led by FRAMEWORK Ventures with participation from HubSpot, Deloitte, and Inovia, to accelerate platform growth and global adoption. The company continues to expand its ecosystem of tools, integrations, and prebuilt workflows, making it easier for businesses to adopt AI agents in real-world use cases. Botpress stands at the center of the shift from static chatbots to autonomous AI systems. By providing the infrastructure for safe, scalable, and production-ready agents, Botpress enables companies to transform how work gets done across customer-facing and internal processes.

Average Rating: 4.5/5.0

Total Reviews: 423

Who Is the Company Behind Botpress?

  • Seller: Botpress
  • Company Website:
  • Year Founded: 2017
  • HQ Location: Quebec, QC
  • Twitter: @getbotpress
    2,651 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    87 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO, Founder
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 75% Small, 15% Medium

What Do G2 Reviewers Say About Botpress?

AI-generated summary from verified user reviews

Pros
  • Users praise Botpress for its ease of use, enabling quick chatbot creation without coding expertise.
  • Users value the workflow flexibility of Botpress, enabling rapid development and integration of sophisticated chatbots.
  • Users value the seamless integrations with tools like WhatsApp and Slack, enhancing adaptability and user experience.
  • Users commend the easy integrations of Botpress, enhancing adaptability and simplifying the chatbot implementation process.
  • Users love the intuitive interface of Botpress, making chatbot creation easy for both technical and non-technical users.
Cons
  • Users face a steep learning curve with Botpress due to complex access and insufficient troubleshooting guides.
  • Users find the limited features of Botpress hinder effective conversation management and user detail handling.
  • Users find the missing features in Botpress frustrating, particularly in managing conversations and user details efficiently.
  • Users often face a steep learning curve with Botpress, particularly when customizing features beyond the basic setup.
  • Users find the poor documentation frustrating, leading to confusion and wasted time troubleshooting issues with Botpress.

What Are Recent G2 Reviews of Botpress?

What Are G2 Users Discussing About Botpress?

StackAI

StackAI is an enterprise-grade no-code platform designed to facilitate the building and deployment of secure AI agents. This innovative solution is tailored for IT teams and operations leaders, enabling organizations to automate complex workflows, enhance internal knowledge management, and streamline document processing through the use of large language models (LLMs). With StackAI, businesses can maintain full control over their data, governance, and compliance, ensuring that their AI initiatives align with organizational standards and regulations. The platform is particularly beneficial for a diverse range of industries, including finance, healthcare, insurance, manufacturing, and the public sector. StackAI allows enterprises to visually orchestrate AI workflows using an intuitive drag-and-drop builder, making it accessible to both technical and non-technical users. By integrating seamlessly with critical systems such as SharePoint, Salesforce, SAP, Snowflake, and Workday, organizations can deploy production-ready Retrieval-Augmented Generation (RAG) systems quickly and efficiently. Use cases are varied, from developing internal copilots and chatbots to automating investment memo generation and IT ticket processing. One of the standout features of StackAI is its no-code AI workflow builder, which empowers users to create and launch AI agents without the need for extensive programming knowledge. The platform includes prebuilt connectors and tools that simplify AI function calling, while built-in interfaces such as chat, forms, and batch processing enable users to interact with AI agents effortlessly. For advanced teams, StackAI offers the flexibility of custom tools, API integrations, and on-premise deployments, catering to organizations with strict data residency and security requirements. Security and governance are integral to StackAI's design. The platform is compliant with SOC 2 Type II, HIPAA, and GDPR standards, with ISO 27001 certification. Enterprise customers benefit from robust features such as granular role-based access control (RBAC), single sign-on (SSO), audit logs, and version control. Administrators have the ability to approve workflows prior to launch, monitor agent usage in real-time, and ensure adherence to internal policies, fostering a secure environment for AI deployment. Additionally, StackAI provides enterprise support through co-building sessions, technical advisory from forward-deployed engineers, and quarterly business reviews. This comprehensive support structure ensures that organizations can confidently build their first AI applications or scale generative AI initiatives across departments. By leveraging StackAI, enterprises can drive their GenAI transformation, creating secure, scalable, and intelligent internal tools that enhance operational efficiency and innovation.

Average Rating: 4.5/5.0

Total Reviews: 38

Who Is the Company Behind StackAI?

  • Seller: Asana
  • Company Website:
  • Year Founded: 2008
  • HQ Location: San Francisco, CA
  • Twitter: @Asana
    119,913 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,427 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 49% Small, 33% Medium

What Do G2 Reviewers Say About StackAI?

AI-generated summary from verified user reviews

Pros
  • Users find StackAI incredibly easy to use, enabling seamless workflows and rapid AI development with minimal effort.
  • Users appreciate the automation and user-friendly integration of StackAI, streamlining workflows and enhancing productivity.
  • Users value the easy integrations of StackAI, enabling seamless connections with various tools and streamlining their workflows.
  • Users highly value the seamless integrations of StackAI, enhancing workflows with automation and compatibility with various tools.
  • Users value the ease of creation with StackAI, enabling intuitive setup and rapid development of AI solutions.
Cons
  • Users find usage limitations in StackAI, citing issues with debugging, plugin confusion, and pricing for small teams.
  • Users note a steep learning curve initially, but find tutorials and UX helpful in overcoming it.
  • Users find the feature complexity of StackAI detracts from usability, making setup and integrations challenging.
  • Users experience lack of integration with StackAI, hindering seamless functionality across existing systems and tools.
  • Users find the limited features of StackAI impact functionality, complicating workflows and onboarding processes.

What Are Recent G2 Reviews of StackAI?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated April 29, 2026