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StackAI Review

StackAI is an enterprise AI transformation platform for building and orchestrating secure AI agents and workflow automations with a low-code interface.

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StackAI — product screenshot

Why it matters

1Acquired by Asana on May 28, 2026, continuing as an independent product.
2Raised $16 million in Series A funding in May 2025, totaling approximately $19.6 million.
3Offers over 100 enterprise integrations for agentic workflows.
4Provides a low-code, drag-and-drop interface for rapid AI agent development.

Specs

API Available

Yes, public API

overview

What is StackAI?

StackAI is an enterprise AI automation platform developed by StackAI that enables organizations to build, deploy, and govern custom AI agents for internal workflows. It emphasizes a no-code, visual development approach to integrate Large Language Models (LLMs) with existing enterprise systems and data sources. The platform focuses on security, governance, and LLM agnosticism, facilitating the rapid deployment of agentic workflows across various enterprise functions. Following its acquisition by Asana on May 28, 2026, StackAI continues to operate as a distinct product, contributing to Asana's roadmap for "human-agent teams" and end-to-end business process automation. It is designed to empower both technical and non-technical teams to automate complex back-office operations by connecting to over 100 data sources and enterprise systems.

features

Key Features of StackAI

StackAI provides a comprehensive suite of features designed for enterprise AI transformation, focusing on secure, governed, and scalable AI agent deployment. Its low-code interface simplifies the creation and orchestration of complex AI workflows, integrating with a wide array of existing business systems.

  • Building and orchestrating secure AI agents with a low-code, drag-and-drop interface.
  • Over 100 enterprise integrations, including CRM (Salesforce, HubSpot), ERP (SAP), and data sources (SharePoint, Confluence, Google Drive).
  • Enterprise-grade security and governance features, including SOC2 Type II, HIPAA, and GDPR compliance, along with feature controls and audit logs.
  • LLM agnosticism, allowing organizations to utilize various Large Language Models based on their specific needs.
  • Multi-tenant, Virtual Private Cloud (VPC), and on-premise deployment options for flexible infrastructure.
  • Human in the Loop capabilities, enabling human oversight and intervention at critical decision points within AI workflows.
  • Support for an Agentic Development Life Cycle (SDLC for AI) to manage the lifecycle of AI agents.
  • API access for programmatic integration and custom application development.
  • "AI Employees" capabilities, including computer use, web navigation, and team coordination for advanced automation.

use cases

Who Should Use StackAI?

StackAI is primarily designed for large organizations and enterprises, particularly those in highly regulated industries, seeking to implement internal AI automation. It caters to both technical and non-technical teams aiming to streamline complex back-office operations and achieve significant operational savings.

  • Enterprise IT and Enterprise Architecture teams: For driving AI transformation initiatives, building internal tools like grant analysis, competitive research, and optimizing IT ticket triage.
  • Finance, Healthcare, and Legal sectors: Automating document processing (e.g., claims, contracts, financial reports), fraud detection, compliance tasks, and reducing administrative burdens.
  • Operations and Support departments: Streamlining support desk automation for instant answers, optimizing supply-chain tasks, and automating RFP responses and logistics.
  • Organizations fostering a 'citizen developer' movement: Empowering non-technical employees to create and deploy AI agents, reducing reliance on specialized AI experts.
  • Companies requiring robust security and compliance: For handling sensitive data with built-in SOC2 Type II, HIPAA, and GDPR compliance.

how to use

How to Use StackAI

StackAI provides a visual, low-code interface for designing and deploying AI agents. Users can connect various data sources and enterprise systems to automate workflows without extensive coding knowledge.

  • 1Access the StackAI platform via a web browser.
  • 2Utilize the drag-and-drop visual builder to design AI agent workflows by connecting components.
  • 3Integrate with over 100 enterprise systems and data sources relevant to the workflow.
  • 4Configure Large Language Models (LLMs) and define agent behaviors for specific tasks.
  • 5Deploy the configured AI agents to automate internal processes and monitor their performance.
  • 6Implement Human in the Loop capabilities for critical decision points requiring human oversight.

pricing

StackAI Pricing & Plans

StackAI operates on a paid subscription model, primarily targeting enterprise clients. While specific public tier details beyond a starting price are not extensively disclosed, the platform's pricing is noted as aggressive, with paid plans commencing at $199 per month. Enterprise-grade features, compliance certifications (SOC2 Type II, HIPAA, GDPR), and custom deployment options (multi-tenant, VPC, on-premise) are typically included in higher-tier or custom enterprise agreements. A limited free plan is available for initial evaluation, though some users find it insufficient for comprehensive testing of advanced features.

  • Paid Plans: Starting at $199/month.
  • Enterprise Plans: Custom pricing available for advanced features, compliance, and deployment options.
  • Free Plan: Limited functionality for initial evaluation.

Pros

  • +Intuitive no-code, drag-and-drop visual builder for rapid AI agent development.
  • +Extensive integration capabilities with over 100 enterprise systems and data sources.
  • +Enterprise-grade security, compliance (SOC2 Type II, HIPAA, GDPR), and governance features.
  • +Enables rapid prototyping and deployment of AI automations, reducing time to value.
  • +Supports LLM agnosticism, allowing flexibility in model choice and avoiding vendor lock-in.
  • +Positive user reception with an average rating of 4.7 out of 5 stars on platforms like SelectHub.

Cons

  • Steeper learning curve for mastering advanced features and complex workflows beyond basic automation.
  • Debugging intricate AI agent workflows can become opaque as complexity increases.
  • Aggressive pricing for paid plans, starting at $199/month, may be a barrier for small to medium-sized businesses.
  • The free plan is considered limited by some users for thorough evaluation of enterprise-level capabilities.

Policies

Pricing Page

View Pricing

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StackAI vs Competitors

StackAI positions itself as an enterprise AI automation platform, specifically designed for internal workflows within large organizations, particularly those in highly regulated industries such as finance, healthcare, and legal. Its core differentiation lies in its emphasis on enterprise-grade security, compliance (SOC2 Type II, HIPAA, GDPR), and LLM agnosticism, coupled with a low-code visual development environment. It aims to enable rapid deployment of agentic workflows and foster a 'citizen developer' movement within organizations, distinguishing itself from platforms primarily focused on customer-facing chatbots or broader data science initiatives.

1

Specializes in hyperautomation, combining Robotic Process Automation (RPA) with AI to automate a wide range of business processes, including AI-powered agents.

UiPath offers a comprehensive suite for enterprise automation, often encompassing more extensive process orchestration and integration capabilities than StackAI's focused AI agent platform, though both target low-code AI-driven workflows and enterprise transformation.

2

Provides an end-to-end platform for data science, machine learning, and AI development, enabling collaboration across various user personas with low-code/no-code options.

Dataiku offers a broader data science and ML platform, whereas StackAI is more specifically focused on the orchestration and deployment of AI agents and workflows, particularly emphasizing security and LLM agnosticism for enterprise transformation.

3

An open-source low-code UI for building customized LLM flows, allowing users to drag and drop components to create AI applications.

FlowiseAI provides a similar low-code visual builder for LLM applications and workflows, but StackAI appears to have a stronger emphasis on enterprise-grade security, governance, and a broader 'AI transformation' scope with dedicated AI agent orchestration.

4

An open-source LLM app development platform that integrates backend services, RAG, and agent capabilities with a visual interface.

Dify offers a comprehensive platform for building and operating LLM applications, including agent features and RAG, similar to StackAI's low-code approach, but StackAI specifically highlights its focus on enterprise security, governance, and LLM agnosticism for complex agentic workflows.

AI Reputation Report

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