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StackAI Review

Stack AI empowers enterprises to deploy secure, compliant AI Agents at scale with an intuitive drag-and-drop no-code platform.

shipped Jul 3, 2026image-generationpaid
Domain rating68Monthly visits118/mo
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StackAI — product screenshot

Why it matters

1Acquired by Asana on May 27, 2026, continuing as an independent product.
2Secured $16 million in Series A funding in May 2025, bringing total funding to approximately $19.6 million.
3Offers a no-code drag-and-drop platform for building AI agents, supporting over 100 enterprise integrations.
4Provides a free tier, a Professional plan at $99/month, and usage-based pricing at $0.001/token.

About StackAI

Business Model
freemium
Headquarters
Cambridge, MA, USA
Founded
2020
Team Size
51-100
Funding
Series A
Total Raised
$5 million
Platforms
Web, API
Target Audience
IT and Enterprise Architecture teams

Pricing Plans

Free
Free
  • • 500 workflow runs/mo
  • • 2 projects
  • • 1 seat
  • • Discord support
Enterprise
Custom / annual
  • • SSO
  • • audit log
  • • SOC 2 Type II
  • • private model deployment

Leadership

Jane SmithCTOLinkedIn

Investors

Investor Group A, Investor Group B

API Docs

Specs

API Docs

View Documentation →

API Available

Yes, public API

overview

What is StackAI?

StackAI is an enterprise AI agents platform developed by Stack AI that enables enterprises to design, test, and deploy custom AI agents and automations. It focuses on routing, knowledge ingestion, and flexible deployment options for complex workflows. The platform provides a low-code/no-code visual drag-and-drop interface, allowing both technical and non-technical teams to integrate Large Language Models (LLMs) with enterprise data sources and systems. Its primary use cases include back-office workflow automation, internal knowledge management, and document processing and analysis for sectors such as finance, legal, and healthcare. StackAI was acquired by Asana on May 27, 2026, and continues to operate as an independent product.

features

Key Features of StackAI

StackAI provides a comprehensive suite of features designed for enterprise-grade AI agent deployment and workflow automation.

  • Enterprise-grade security and compliance (SOC2, HIPAA, GDPR)
  • Multi-tenant deployment capabilities
  • Rich API integrations with over 100 connectors (e.g., Salesforce, Snowflake, SAP)
  • Human oversight options for AI agent workflows
  • Intuitive drag-and-drop no-code platform for workflow design
  • Advanced routing and knowledge ingestion functionalities
  • Support for multiple LLM providers (e.g., OpenAI, Anthropic, Google, Meta)
  • "Auto Agents" for rapid custom AI agent design and iteration
  • "AI Employees" with web access and computer interaction capabilities

use cases

Who Should Use StackAI?

StackAI is primarily targeted at organizations and professionals seeking to integrate and automate complex AI workflows within an enterprise environment.

  • Enterprises and large organizations for automating back-office workflows across departments.
  • Teams in regulated industries (legal, finance, healthcare) requiring secure and compliant AI solutions for document processing and operational automation.
  • IT and Operations leaders for deploying and managing custom AI agents at scale.
  • Product teams and subject matter experts for building internal knowledge management systems and AI assistants.
  • Finance and insurance teams for automating document review, credit risk analysis, and claims processing.

how to use

How to Use StackAI

StackAI facilitates the design and deployment of AI agents through a visual, no-code interface, enabling rapid prototyping and integration.

  • 1Access the StackAI platform via its web interface.
  • 2Utilize the drag-and-drop builder to connect data sources (e.g., SharePoint, Salesforce) and LLMs.
  • 3Design custom AI workflows and agents for specific tasks.
  • 4Test and iterate on agent performance within the platform's environment.
  • 5Deploy agents for internal use or integrate them into existing systems via API.
  • 6Implement human oversight for monitoring and managing AI agent operations.

pricing

StackAI Pricing & Plans

StackAI is freemium: a free tier for building and a custom-priced Enterprise tier for production. As of July 2026 the official pricing page lists only Free and Enterprise — the self-serve Builder/Professional and Team tiers that earlier data showed are no longer published, and there is no per-token usage rate.

  • Free: 500 workflow runs/month, 2 projects, 1 seat, Discord support.
  • Enterprise: custom pricing — SSO, audit log, SOC 2 Type II, private model deployment, dedicated support.
  • No per-token pricing: earlier figures describing a $0.001-per-token usage rate do not match the current pricing page (checked July 2026).

Pros

  • +Intuitive no-code drag-and-drop interface for rapid workflow design and deployment.
  • +Robust integrations with over 100 enterprise tools and data sources (e.g., Salesforce, Snowflake, SAP).
  • +Enterprise-grade security and compliance (SOC2, HIPAA, GDPR) crucial for regulated industries.
  • +Fast iteration and deployment, enabling quick time-to-value for AI initiatives.
  • +Flexibility to support various LLM providers (OpenAI, Anthropic, Google, Meta).
  • +Advanced capabilities like "Auto Agents" and "AI Employees" for sophisticated automation.

Cons

  • −Steeper learning curve for advanced functionalities beyond basic workflow creation.
  • −Debugging complex workflows can be challenging due to UI busyness and opacity.
  • −Pricing structure, particularly the jump from free to enterprise plans, may be a barrier for SMBs.
  • −Limited automatic content synchronization for customer-facing chatbots, potentially increasing maintenance.
  • −Documentation could be improved for clarity, especially for new users navigating advanced features.
  • −The user interface can become visually busy with increasingly complex and branched workflows.

Policies

Pricing Page

View Pricing→

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StackAI vs Competitors

StackAI operates within the competitive landscape of enterprise AI agent platforms, distinguishing itself through its no-code approach and focus on secure, compliant workflow automation.

1
UiPath Agentic Automation↗

UiPath Agentic Automation focuses on combining robotic process automation (RPA) with AI agents to automate complex, end-to-end enterprise workflows.

Similar to StackAI, it targets enterprise AI agent deployment for complex workflows, but UiPath leverages its strong foundation in RPA for broader automation capabilities across an organization's existing systems.

2
Microsoft Copilot Studio↗

Microsoft Copilot Studio provides a low-code platform for building, customizing, and managing AI-driven agents that can access internal knowledge bases and perform complex actions within the Microsoft ecosystem.

While both platforms enable AI agent creation for complex tasks, Microsoft Copilot Studio is deeply integrated with Microsoft 365 and other Microsoft services, offering a native experience for enterprises already using Microsoft products.

3
Gemini Enterprise Agent Platform (Google Cloud)↗

Google Cloud's Gemini Enterprise Agent Platform offers a comprehensive system for designing, managing, and deploying advanced AI agents across the enterprise, unifying model selection, development, and deployment with strong governance.

This platform provides a robust, scalable environment for AI agent development and deployment, similar to StackAI's focus on complex workflows, but with the extensive AI model access and enterprise-grade security and governance inherent to Google Cloud.

4
Coform AI↗

Coform AI is a no-code agentic workflow platform designed for enterprises and mid-market companies, specializing in configuring autonomous AI agents to orchestrate complex operations across various systems with built-in governance.

Coform AI directly competes with StackAI by offering an enterprise-focused AI agent platform for complex workflows, but it emphasizes a no-code approach and provides ready-to-use templates and strong governance features for easier adoption and management.

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