AI application builder
Stack AI
Enterprise AI applications without the engineering team
Our verdict
Best for internal knowledge base and document Q&A agents. Handles SOPs, contracts, and Notion wikis well. Strong in its lane, expensive outside it.
Best for
Ops teams who want AI agents over their internal documents — SOPs, contracts, product specs, Notion wikis.
Not for
External-facing automations or multi-step process workflows — n8n handles those better for most teams.
Overview
Stack AI shines on document-heavy use cases: ingest your internal knowledge base and make it queryable by AI agents. If your team spends hours looking through Notion, Confluence, or shared drives, Stack AI can turn those documents into an AI that answers questions in plain English. The RAG implementation is one of the better ones in the no-code category. Where it falls short is flexibility — multi-step automations with conditional logic are better served by n8n or Relevance AI.
What works
- +Best-in-class document ingestion and RAG pipeline
- +Strong enterprise data connectors (Notion, Confluence, Google Drive)
- +SOC 2 compliant
- +Good UI for non-technical configuration
What doesn't
- −Expensive at team scale ($199+/month)
- −Limited flexibility for multi-step process automation
- −Weaker for external-facing or trigger-based workflows
Pricing
Freemium. Team plans from $199/month.
Common questions about Stack AI
What is Stack AI?
Stack AI is a no-code platform for building AI agents and document Q&A workflows. Strong on RAG (retrieval-augmented generation) — connecting agents to your knowledge base, PDFs, or internal docs. Targets teams that need an internal knowledge bot or document-heavy automation.
How much does Stack AI cost?
Plans start at around $99/month for small teams and scale to enterprise pricing for larger deployments with compliance needs (HIPAA, SOC 2). Most builders spend $99–$499/month including usage credits.
Stack AI vs Lindy?
Lindy is broader — better for cross-tool workflows (Gmail + Slack + CRM). Stack AI is deeper on document Q&A and RAG patterns — better when the core need is 'agent that knows our internal docs and answers questions about them.' If your use case centres on knowledge retrieval, Stack AI. Otherwise Lindy.
Continue exploring
Tool
AI Agent Cost Calculator
See what running Stack AI's typical workflow costs at your volume — pre-filled for this category.
Tool
The AI Agent Picker
Not sure Stack AI is right? Five questions, one recommendation.
Reference
AI agents, explained
Twelve plain-English answers covering what AI agents are and what they're not yet good at.
Open dataset. This review is part of a structured dataset of every platform on the shortlist, published as platforms.json on GitHub under CC-BY-4.0.