TLDR
Your best engineer leaves. With them goes every decision, workaround, and architectural rationale they carried in their head. InteliG captures decisions from meetings and links them to code — so institutional knowledge lives in the repo, not in people's memories.
Use Cases / Knowledge Preservation
Knowledge Preservation: Decisions That Live in the Repo, Not in People's Heads
Every engineering organization hemorrhages knowledge. Decisions are made in meetings, written in Confluence pages nobody reads, and carried in the heads of senior engineers who will eventually leave. When they do, the knowledge leaves with them.
The cost isn't abstract. It's the team that re-debates an architectural decision that was settled six months ago because nobody remembers why. It's the new hire who spends three weeks understanding a system that a five-minute explanation from a departed engineer would have covered. It's the CTO who can't explain to the board why a migration was started because the rationale lived in someone's Slack DMs.
Confluence, Notion, Google Docs — they're all write-once, read-never systems. Knowledge preservation doesn't fail because of bad tools. It fails because knowledge is stored separately from where work happens. The repo is where work happens.
How InteliG Solves This
- → Extract decisions from meetings automatically. Upload a transcript or connect your recording tool. Cognis identifies every decision, rationale, and owner — no manual note-taking required.
- → Link decisions to the code they affect. When a decision leads to code changes, InteliG connects them. Six months later, anyone can ask "why was this built this way?" and get the meeting context that drove it.
- → Preserve architectural rationale. The "why" behind technical decisions is the most valuable and most perishable knowledge in your org. InteliG captures and indexes it so it survives team turnover.
- → Make onboarding instant. New engineers can ask Cognis about any part of the codebase and get context that includes not just what the code does, but why it was built that way, who decided it, and what alternatives were considered.
Questions You Can Ask Cognis
"Why was the payment service rewritten last quarter?"
"What decisions were made about the authentication migration?"
"What does our onboarding team need to know about the billing module?"
"Show me all architectural decisions from the last 90 days."
"What context would a new engineer need to work on the API gateway?"
Knowledge that outlasts your team.
Connect GitHub, upload transcripts, and let Cognis build a living knowledge base that's always connected to the code it describes.
14-day evaluation period. Connect GitHub and start asking in minutes.