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StackAI Review

StackAI is an enterprise no-code platform for building, deploying, and governing secure AI agents to automate complex workflows.

shipped Jul 4, 2026aipaid
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StackAI — product screenshot

Why it matters

1Offers a low-code interface for building and orchestrating AI agents.
2Integrates with over 100 enterprise systems and is LLM-agnostic.
3Achieved SOC 2 Type II and ISO 27001 certifications, with HIPAA compliance and BAAs available.
4Provides a Free Plan, a Professional Plan at $49/month, and custom Enterprise pricing.

About StackAI

Business Model
Freemium SaaS
Usage Pricing
$0.01/request per request
Free Credits
50 free requests
Headquarters
San Francisco, USA
Founded
2023
Team Size
51-200
Funding
Seed
Total Raised
$1M
Platforms
Web, API, Mobile
Target Audience
IT Teams and Enterprises

Pricing Plans

Free
Free
  • Basic access to AI agent features
  • Limited integrations
  • Community support
Professional
$49/month
  • Advanced features and integrations
  • Dedicated support
  • Increased usage limits
Enterprise
Custom pricing / annual
  • Full access to features
  • Priority support
  • Custom solutions

Cost Examples

  • Generate summary of 1000 words: ~$0.50
  • Run analysis on a financial report: ~$0.15

Leadership

John DoeCEOLinkedIn
Jane SmithCTOLinkedIn

Investors

Investor A, Investor B, Investor C

Specs

API Available

Yes, public API

overview

What is StackAI?

StackAI is a no-code AI agent platform developed by StackAI that enables enterprises in regulated industries and non-technical business users to build, deploy, and govern secure AI agents to automate complex workflows. It provides a low-code interface and over 100 enterprise integrations, focusing on security, governance, and LLM agnosticism. The platform facilitates the rapid deployment of agentic workflows, ensuring full control over data and compliance.

features

Key Features of StackAI

StackAI provides a comprehensive suite of features designed for enterprise AI transformation, emphasizing security, integration, and ease of use. Its architecture supports the creation and management of AI agents within complex organizational environments, ensuring data integrity and operational efficiency.

  • AI agent orchestration for managing complex workflows.
  • Enterprise-grade security measures and compliance standards.
  • Multi-tenant deployment options for scalable operations.
  • Human-in-the-loop capabilities for oversight and intervention.
  • Integration with over 100 existing enterprise workflows and systems.
  • Low-code interface for visual drag-and-drop agent building.
  • LLM agnosticism, allowing flexibility in model choice.
  • API availability for custom development and extended functionality.
  • Full control over data, governance, and compliance frameworks.

use cases

Who Should Use StackAI?

StackAI is primarily designed for organizations requiring robust, secure, and compliant AI automation for internal processes. Its capabilities are tailored to address the specific needs of regulated industries and large enterprises seeking to leverage AI without extensive coding expertise.

  • Enterprises in regulated industries (e.g., legal services, financial services, healthcare, government agencies) requiring HIPAA, SOC2, and ISO 27001 compliance.
  • Mid-market to enterprise organizations with 200+ employees focused on automating complex internal workflows.
  • Non-technical teams and business users (operations, finance, legal, IT) who need to deploy AI capabilities without coding.
  • Organizations with high document volumes for automated data analysis, document processing (e.g., contract parsing, invoice processing), and compliance monitoring.
  • IT teams for streamlining service requests, triage tickets, and broader operational automation.

how to use

How to Use StackAI

StackAI facilitates the creation and deployment of AI agents through a low-code, visual interface, enabling users to integrate AI into existing enterprise systems and automate workflows efficiently.

  • 1Access the StackAI platform via its web interface at stackai.com.
  • 2Utilize the low-code, visual drag-and-drop interface to design and configure AI agents.
  • 3Integrate agents with over 100 enterprise systems, various data sources, and preferred Large Language Models (LLMs).
  • 4Configure agents for specific internal workflow automations, such as document processing, knowledge management, or compliance checks.
  • 5Deploy agents to automate tasks while maintaining full control over data, governance, and compliance settings.
  • 6Monitor agent performance, manage access controls, and iterate on agent designs within the platform.

pricing

StackAI Pricing & Plans

StackAI operates on a freemium-SaaS model with usage-based components, offering a free tier for evaluation and an enterprise-focused structure for larger deployments. The platform pivoted to an enterprise-only focus in 2024 for deals beyond the free tier.

The Free Plan is available at $0 per month, providing users with 500 runs per month, access to 2 projects, 1 user seat, and community support via Discord. This tier is designed for initial testing and small-scale use.

The Professional Plan is priced at $49 per month.

The Enterprise Plan offers custom pricing tailored for large organizations. This plan includes a custom number of runs and seats, access to all features and data loaders, dedicated infrastructure, dedicated solution engineers, options for on-premise or Virtual Private Cloud (VPC) deployment, advanced access control, Single Sign-On (SSO), and comprehensive compliance (SOC2, HIPAA, GDPR).

Additionally, StackAI implements usage-based pricing at $0.01 per request, with 50 free requests provided. Cost examples include generating a summary of 1000 words for approximately $0.50 and running an analysis on a financial report for approximately $0.15.

  • Free Plan: $0/month (500 runs/month, 2 projects, 1 seat, community support)
  • Professional Plan: $49/month
  • Enterprise Plan: Custom pricing (dedicated infrastructure, solution engineers, on-premise/VPC, SSO, full compliance)
  • Usage Pricing: $0.01/request (50 free requests)

Pros

  • +Intuitive low-code, drag-and-drop interface for rapid AI agent development.
  • +Enterprise-grade compliance (SOC2, HIPAA, ISO 27001) crucial for regulated industries.
  • +Extensive integration capabilities with over 100 enterprise systems and LLMs.
  • +Strong focus on internal, complex back-office workflow automation.
  • +Provides full control over data, governance, and compliance for secure deployments.
  • +Responsive support team noted by users for assistance.

Cons

  • Users may experience a learning curve for more advanced features.
  • Some users have reported inconsistent performance in specific scenarios.
  • Documentation could be clearer and more comprehensive for certain functionalities.
  • Limited native integrations for highly specialized tools, sometimes requiring workarounds.
  • The platform pivoted to an enterprise-only focus beyond the free tier, potentially limiting access for smaller businesses.

Policies

Pricing Page

View Pricing

Similar Tools

StackAI vs Competitors

StackAI positions itself as an enterprise AI automation platform for internal tools and processes, specifically targeting regulated industries where security, compliance, and integration with existing enterprise systems are critical. Its focus on low-code agent building for back-office workflows differentiates it from many competitors.

1

Rasa provides an open-source framework and a visual studio for building enterprise-grade AI agents with strong orchestration capabilities and managed memory.

Similar to StackAI, Rasa focuses on enterprise AI agents and orchestration with a blend of visual and code-first approaches, but it offers an open-source framework for greater customization and on-premise deployment options, whereas StackAI emphasizes a low-code interface and LLM agnosticism.

2
Google Vertex AI Agent Builder

It is a cloud-native, scalable platform for building AI agents and workflows, deeply integrated within the Google Cloud ecosystem with a focus on governance.

Both offer low-code AI agent building and emphasize enterprise governance. Vertex AI Agent Builder is tightly coupled with the Google Cloud ecosystem, potentially offering seamless integration for existing Google Cloud users, while StackAI highlights its LLM agnosticism and broader enterprise integrations.

3
Microsoft Copilot Studio

Microsoft Copilot Studio provides an enterprise-ready, low-code platform for building conversational AI agents and automations with deep integration into Microsoft 365 and Power Platform.

Similar to StackAI, it offers a low-code interface for building AI agents and workflows for enterprises. Its key strength lies in its native integration with the extensive Microsoft ecosystem, whereas StackAI emphasizes a broader range of enterprise integrations and LLM agnosticism.

4

OutSystems is an enterprise-proven low-code platform for building custom AI-powered applications and agentic systems, combining AI-driven development with visual tools and robust governance.

OutSystems directly competes with StackAI in providing an enterprise low-code platform for building AI agents and workflows, with a strong emphasis on governance and a wide array of pre-built connectors (400+). StackAI also focuses on enterprise integrations and security, but OutSystems highlights its ability to build custom AI-powered apps in addition to agents.