How Does Stack AI Handle Retrieval-Augmented Generation (RAG)?

Stack AI handles RAG natively. When you upload documents or connect a data source, the platform automatically indexes your content and creates a Knowledge Base node. Connect it to an LLM node and the system runs vector-based semantic search behind the scenes, delivering context-rich, cited responses with as few as 4 nodes.

What LLM Providers Does Stack AI Support Natively?

Stack AI supports OpenAI, Anthropic, Google Gemini, Meta Llama, xAI, Mistral, Perplexity, Groq, Cerebras, TogetherAI, Replicate, Azure OpenAI, AWS Bedrock, and local LLMs via custom endpoints. All models are available without requiring separate API keys or external accounts.

Can Stack AI Agents Be Deployed On-Premise?

Yes. Stack AI offers on-premise deployment and Virtual Private Cloud (VPC) options for organizations with strict data residency or sovereignty requirements. This is available on the Enterprise plan and can be deployed on AWS, Azure, or GCP using Kubernetes.

How Does Stack AI Integrate With Existing Enterprise Systems?

Stack AI provides native, OAuth-based connections with 100+ tools including Microsoft SharePoint, Salesforce, Workday, HubSpot, Jira, Slack, Oracle NetSuite, and Amazon S3. No API keys or technical configuration is needed—users authenticate through standard SaaS login flows.

What Governance And Compliance Features Does Stack AI Offer?

Stack AI provides granular RBAC, admin approval workflows for publishing agents, version control, automatic audit logs of all inputs and outputs, token usage tracking, SSO integration with Okta and Entra ID, and built-in guardrails for prompt and response filtering. The platform is SOC 2 Type II, HIPAA, GDPR, and CCPA compliant with ISO 27001 certification.

Stack AI

Name: Stack AI
Availability: InStock
Author: Stack AI (Eigen Inc.)

by Stack AI (Eigen Inc.) • San Francisco, USA • Founded 2022

No-Code Enterprise AI Agent Builder With Governance Controls

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21 reviews

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What is Stack AI?

Stack AI is an enterprise-grade, no-code platform for building, deploying, and managing AI agents at scale. It features a visual drag-and-drop workflow builder that empowers both technical and non-technical teams to create intelligent automations without writing code.

The platform natively integrates with 100+ enterprise tools including SharePoint, Salesforce, Workday, and SAP, and supports all major LLM providers such as OpenAI, Anthropic, and Google. Stack AI includes built-in RAG pipelines, PII redaction, guardrails, and role-based access control, backed by SOC 2 Type II, HIPAA, and GDPR compliance.

Stack AI — No-Code Enterprise AI Agent Builder With Governance Controls Whether you're evaluating Stack AI for your team or comparing it to alternatives in the AI Business Tools category, this in-depth review covers everything: features, pricing, real user reviews, pros and cons, integrations, and direct comparisons against competitors.

Stack AI Demo Video

Key Features 8

No-Code Drag-and-Drop Visual Workflow Builder for AI Agents

100+ Native Integrations With Enterprise Tools Like Salesforce and Slack

Model-Agnostic LLM Routing Across OpenAI, Anthropic, and Google

Enterprise-Grade SOC2, HIPAA, and GDPR Compliance Built-In

Pre-Built AI Agent Templates for Fast Workflow Deployment

Multi-Channel Deployment via Chat, Forms, APIs, and WhatsApp

Role-Based Access Control With SSO and Audit Logging

On-Premise and VPC Deployment Options for Data Residency Control

Who Is Stack AI For

1 Enterprise IT Operations Teams

2 Business Process Automation Leaders

3 Non-Technical Citizen Developers

4 Financial Services Analysts

5 Healthcare Compliance Officers

6 Government And Defense Contractors

Pros & Cons

Pros 4 benefits

SOC 2 And HIPAA Compliant
No API Keys Required
Strong Enterprise Governance Controls
Supports All Major LLMs

Cons 3 limitations

Only Free And Enterprise Tiers
Debugging Complex Workflows Challenging
Steep Learning Curve Initially

Frequently Asked Questions

5 questions

How Stack AI works

Stack AI is positioned as no-Code Enterprise AI Agent Builder With Governance Controls. Under the hood it ships 8 headline capabilities, including No-Code Drag-and-Drop Visual Workflow Builder for AI Agents, 100+ Native Integrations With Enterprise Tools Like Salesforce and Slack, Model-Agnostic LLM Routing Across OpenAI, Anthropic, and Google, Enterprise-Grade SOC2, HIPAA, and GDPR Compliance Built-In, Pre-Built AI Agent Templates for Fast Workflow Deployment and Multi-Channel Deployment via Chat, Forms, APIs, and WhatsApp. Together these features cover the core workflows most teams expect from a modern ai business tools, from initial setup through day-to-day production use.

Stack AI runs as a self-contained product, so you can adopt it without touching the rest of your stack — useful when you want to evaluate the tool in isolation before wiring up integrations.

Who is Stack AI for?

Stack AI is most useful for Enterprise IT Operations Teams, Business Process Automation Leaders, Non-Technical Citizen Developers and Financial Services Analysts. If your team falls into one of those buckets, the feature set lines up well with how you already work — you won't be forcing a square peg into a round hole.

Beyond the obvious use case, the product tends to attract users who want a pay-as-you-grow option in the ai business tools space.

Stack AI pricing explained

Stack AI uses contact-based pricing — you'll need to talk to sales for a quote tailored to your usage. That model usually signals an enterprise focus, so expect onboarding to include a scoping call rather than a self-serve checkout.

Across the AI Gear Base rubric, we score contact-for-pricing pricing models on transparency, rate-limit honesty, and how predictable spend is at scale. Stack AI's contact-for-pricing approach is normal at the enterprise tier but a poor fit for solo users who need fast self-serve access.

Our verdict on Stack AI

Stack AI hasn't been rated by enough reviewers yet to publish an aggregate score. The strongest signal in those reviews is that soc 2 and hipaa compliant. The most common complaint is that only free and enterprise tiers — worth knowing before you commit, but rarely a deal-breaker for teams that already match the use case.

If you're evaluating Stack AI against alternatives, weigh it on the same 7-criteria rubric we apply to every tool: capability, integrations, pricing transparency, support, security posture, roadmap velocity, and community signal. Built by Stack AI (Eigen Inc.), founded in 2022, the product has a clear track record you can verify before adopting it. The bottom line: Stack AI is a solid pick in the ai business tools category, and it deserves a spot on your shortlist if your workflow matches what it was built for.

Trusted Reviews

Verified Platforms

4.5 G2 (38)

What's New

biweekly

Mid-March Product Update

Dark Mode, Prompt to Flow (build workflows from chat), Canvas right-hand panel, redesigned Chat Assistant, delegated permissions, per-node execution, federated search across SharePoint and OneDrive, and GPT 5.4 support.

Mar 22

November Product Update

On-Prem Triggers for Outlook, Project Table improvements, Node Mentions in LLM Tools, CSV export for workflow outputs, Gemini 3 Pro and Claude Opus 4.5 model support, and new Tavily and Salesforce integrations.

Dec 4

View all updates

User Base

10K+ users

Active Users

Security & Privacy

US, EU, On-Premise, VPC

SOC 2 Type II HIPAA Compliant GDPR Compliant CCPA-CPRA Compliant ISO 27001

End-to-end encryption (AES-256 at rest, TLS 1.3 in transit) Single Sign-On (SSO) via SAML with Okta and Entra ID Role-based access control (RBAC) Built-in PII detection and redaction LLM guardrails for prompt and response filtering Data Processing Addendums (DPAs) with OpenAI and Anthropic +2 more