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Orchestrate AI Agents to understand data and take actions for enterprise teams.

Free plan available, paid tiers aboveVisit Website
Reviews onG2Capterra
75 reviews tracked·4 press mentions

The Bottom Line

Price
Free plan available, paid tiers above. Compare plans

Key facts

  • Build and orchestrate AI agents for enterprise data processing.
  • Extract data, retrieve knowledge, and generate documents from unstructured sources.
  • Integrates with 100+ enterprise systems and offers robust security compliance.

Pros

  • Transforms unstructured data into structured insights.
  • Automates data extraction, knowledge retrieval, and document creation.
  • Extensive enterprise integrations for seamless workflow integration.
  • Strong security and compliance certifications (HIPAA, SOC 2, GDPR).
  • Offers a free plan for initial exploration and small projects.

Cons

  • Specific advanced features like dedicated infrastructure and SSO are only available in the Enterprise plan.
  • Pricing for the Enterprise plan is custom, requiring direct contact for a quote.
  • The free plan has limited runs and projects, which might be restrictive for larger teams or complex use cases.

What is Stack AI?

Stack AI is an enterprise AI transformation platform that enables organizations to build and deploy AI agents. These agents are designed to process unstructured data, extract structured insights, retrieve information from knowledge bases, and generate documents. The platform is particularly suited for Finance, Risk, and Operations teams looking to automate data-intensive tasks and enhance decision-making. The platform offers capabilities like data extraction from various sources (PDFs, scans, forms) using OCR, knowledge retrieval with cited answers via Retrieval-Augmented Generation (RAG), and document generation in formats like Google Docs and Microsoft Word. With over 100 enterprise integrations, Stack AI allows agents to interact with existing systems, reading, writing, and executing tasks seamlessly. It emphasizes enterprise-grade security with certifications like HIPAA, SOC 2 Type II, and GDPR compliance, making it suitable for handling sensitive data across various industries.

Available on: Web

Ratings Across the Web

4.5(75 reviews)

Stack AI holds an aggregate rating of 4.5 out of 5 from 75 reviews across G2 and Capterra, last checked September 21, 2026.

Ratings aggregated from independent review platforms. Learn more

Preview

Key Features

  • AI Agent Orchestration
  • Data Extraction with OCR
  • Knowledge Retrieval (RAG)
  • Document Generation (Google Docs, Microsoft Word)
  • 100+ Enterprise Integrations
  • HIPAA Compliance
  • SOC 2 Type II Compliance
  • GDPR Compliance

Pricing Plans

Pricing checked Sep 29, 2026

Stack AI plans and prices, checked September 2026
PlanPriceDetails
Free

$0 / month

  • 500 runs per month
  • 2 Projects
  • 1 Seat
+1 more
  • Community support on Discord
Enterprise

Custom

  • Custom number of runs
  • Unlimited projects
  • Custom number of seats
+8 more
  • All features and data loaders
  • Dedicated infrastructure
  • Dedicated solution engineers
  • On-prem deployment
  • Virtual Private Cloud deployment
  • Access control
  • SSO (Single Sign-On)
  • SOC 2, HIPAA & GDPR compliance

Is Stack AI worth the price?

Fair value

Stack AI's pricing is quite limited for smaller teams, with only a Free tier and an Enterprise tier.

The Free tier offers a decent starting point with 500 runs/month for $0, but there's no mid-range option for growing businesses. This structure is best suited for individual developers or very large enterprises.

Hidden Costs & Gotchas

Potential for rapid overage if not on Enterprise

Reviews

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4.5/5

Across 75 verified user reviews on G2, Capterra

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Stack AI FAQ

How does Stack AI help automate data-intensive tasks for enterprise teams?

Stack AI orchestrates AI agents to process unstructured data, extract structured insights, retrieve information from knowledge bases, and generate documents. This capability allows Finance, Risk, and Operations teams to automate tasks like data extraction from PDFs and scans, and document creation in formats like Google Docs.

Which teams within an enterprise would benefit most from using Stack AI?

Stack AI is particularly suited for Finance, Risk, and Operations teams. It helps these teams automate data-intensive tasks and enhance decision-making by transforming unstructured data into actionable insights.

How does Stack AI compare to LangChain for building AI agents?

Stack AI focuses on orchestrating AI agents to understand data and take actions for enterprise teams, offering extensive integrations and strong security certifications. LangChain also provides tools for developing AI applications, but Stack AI emphasizes transforming unstructured data into structured insights and automating document generation for enterprise workflows.

What kind of security and compliance features does Stack AI offer?

Stack AI provides enterprise-grade security with certifications including HIPAA, SOC 2 Type II, and GDPR compliance. This makes it suitable for organizations handling sensitive data across various industries, ensuring data protection and regulatory adherence.

Does Stack AI include a free tier?

Yes, Stack AI offers a free plan for initial exploration and small projects. However, this free plan has limitations on the number of runs and projects, which might be restrictive for larger teams or more complex use cases.

What are the main limitations of Stack AI for larger enterprise deployments?

Specific advanced features, such as dedicated infrastructure and Single Sign-On (SSO), are exclusively available in the Enterprise plan. Additionally, the pricing for the Enterprise plan is custom, requiring direct contact for a quote, and the free plan has limited usage that may not scale for larger needs.

Can Stack AI integrate with existing enterprise systems?

Yes, Stack AI offers over 100 enterprise integrations, allowing its AI agents to interact seamlessly with existing systems. This enables agents to read, write, and execute tasks within an organization's current software environment.

Source: stack-ai.com

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