Get started

Build reliable AI with Stack Internal

Build AI agents & copilots your team can trust

Stack Internal grounds AI in validated organizational knowledge for more reliable outputs.

Improve AI reliability
Govern AI access
Build enterprise memory
Illustration of training an AI

Stack Internal powers AI teams

15K+

Customers trust Stack Internal as their knowledge platform

100K+

Monthly users documenting knowledge in Stack Internal (2025)

1M+

Meaningful customer interactions in Stack Internal (2025)

13K hours

Of engineering time saved by Uber over six months with the help of Stack Internal.

Turn fragmented data into trusted AI context

Chat bubbles above 'Get trusted answers' text, with buttons to connect to knowledge sources like Google Docs, Slack, and Microsoft Teams.

Structure your foundation

Stack Internal automatically transforms fragmented data from your existing tools into structured knowledge evaluated for trust.

AI agents access a shared memory store that compounds as works happens.

A pop-up confirming a statement about a project starting in March 2026 is corroborated by three sources, including one recent.

Ground Every AI System

Eliminate hallucinations or inaccurate outputs by grounding your AI agents and copilots in your organizational context with Stack Internal.

Deliver relevant, validated knowledge that improves reliability and reduces AI risk.

A stylized computer screen displaying "Prompt Engineering" information, code-like bars, a chat interface, and status indicators.

Scope & organize your knowledge

Focused, role-based scopes ensure the right knowledge is used by the right people, team, or AI agent.

Illustration of API endpoints and MCP setup

Deliver secure context

From pull requests, to code editors, command line interfaces and more, our API, MCP server, plugins ensure context is delivered securely, wherever it’s needed.

Integrations

Works everywhere your team does

REST API

Our robust API (built on the OpenAPI “Swagger” spec) and SDK allow you to integrate the apps you’re using. Even if they’re homegrown.

Slack

Capture and store critical context from Slack

Build more reliable AI to…

Power AI code assist tools

Ground tools like Claude Code, Cursor, and GitHub Copilot in trusted organizational knowledge. Developers can query legacy code constraints directly within their IDE.

Deploy trusted internal copilots

Power internal assistants with reliable, context-rich enterprise knowledge. This ensures your technical teams get human-verified answers that keep them focused on building, not searching.

Orchestrate AI agents

Provide autonomous agents with secure, permission-aware access to the organizational context they need to complete tasks independently.

Fuel homegrown LLM apps

Feed proprietary internal applications and custom RAG pipelines accurate, structured data. Use a robust API to maintain enterprise security, compliance, and role-based access controls across all custom builds.

Frequently Asked Questions

Asked by AI teams, answered by us.

How does Stack Internal keep knowledge up-to-date?

The platform acts as a curation engine, automatically ingesting and storing knowledge with trust built in. The trust engine is constantly evaluating if that knowledge is reliable, current, authoritative, and safe to use. With automatic SME validation only when there’s critical gaps.

What is the MCP server?

The MCP server connects AI assistants and coding agents, like Claude and Cursor, to your trusted Stack Internal knowledge and can read from Stack Internal without breaking focus.

How does Stack Internal import existing knowledge?

Stack Internal brings in knowledge from wherever your team already works. We have out-of-the-box connectors for Stack Internal Community, GitHub, Google Docs, Slack and Microsoft Teams, as well as an ingestion API that can ingest critical context from any tool.

How does Stack Internal integrate with existing tools?

Stack Internal works wherever your team does. With connectors, custom integrations, and AI tool & agent support, we’ve got you covered. See Integrations for more.

How does Stack Internal identify Subject Matter Experts?

SME auto-detection stays accurate as your organization interacts with the platform over time and surfaces the right expert to the right topic. You also have the power to manually manage experts. The platform does the heavy-lifting for you, but it’s nice to have the option to adjust when you need to.

Hear from teams building with Stack Internal

All customer stories

Build your trusted knowledge layer for AI with Stack Internal today