Engineering Knowledge Base

$5B TAM

The Challenge

When senior engineers leave, their institutional knowledge walks out the door. Documentation is scattered across Confluence, Google Drive, Slack threads, and GitHub issues. New team members spend months ramping up because the answers exist — they are just unfindable.

The Solution

Connector-based ingestion pulls from existing tools. The knowledge graph unifies scattered information into a single searchable structure. Natural language queries surface answers with context — not just matching documents, but the relationships between concepts.

New engineer onboarding time reduced from 3 months to 3 weeks. Structured answers with architecture decisions, implementation files, and discussions — all linked and cited.

More Use Cases