Build reliable AI with Stack Internal

Build AI agents & copilots your team can trust

Stack Internal grounds AI with verified, context-rich knowledge, ensuring trusted AI outputs.

Accelerate AI performance
Reduce AI risk
Maximize AI investments
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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.

Move from fragmented data
to production-ready AI intelligence

Structure your foundation

Stack Internal automatically transforms fragmented data from Confluence, an API endpoint, PDFs, markdown files, and more into structured, confidence-scored knowledge with human validation.

AI agents get access to a governed library of human-verified engineering truth.

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Ground your Model

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

Providing relevant context windows with an institutional memory layer that improves inference accuracy and reduces AI risk.

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Connect via MCP

Our bi-directional MCP server gives agents access to that memory layer.

AI agents connect to your trusted knowledge, and can both read from and write back to Stack Internal for answers to complex questions and to capture new context.

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Verify and deploy

Ensure every AI output is compliant & production-ready.

By accessing enterprise-grade knowledge directly from Stack Internal, engineering teams can deploy AI agents & copilots that deliver reliable code and support at scale.

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Build more reliable AI to…

Power AI code assist tools

Ground tools like Claude Code, Cursor, and GitHub Copilot in an institutional memory layer. Developers can query legacy code constraints directly within their IDE and push new, verified documentation back to the governed library in real-time.

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 a secure, bi-directional MCP connection. Agents can independently retrieve organizational context to problem-solve and write comprehensive postmortems back to Stack Internal.

Fuel homegrown LLM apps

Feed proprietary internal applications and custom RAG pipelines accurate, structured data. Use a robust API and SDK 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 ingest existing knowledge?

Stack Internal uses intuitive connectors to pull in knowledge from tools like Confluence, and supports direct file uploads to quickly build your internal knowledge repository.

How does Stack Internal’s MCP Server work?

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

How does Stack Internal integrate with existing tools?

Stack Internal delivers knowledge directly into tools like Microsoft Teams, Slack, GitHub, VS Code, and Microsoft 365, plus offers a robust API and MCP server for custom integrations.

How does Stack Internal protect our data?

Private teams mean only the right people see your info. Plus, our SCIM 2.0 integrates with your provider to manage status, roles and access. Your data is always protected, at rest and in transit, by a combination of HTTPS, SQL Transparent Data Encryption (TDE) and AES-246.

Hear from teams building with Stack Internal

All customer stories