Scriven Labs has spent two phases building the parts that have to be true before anyone talks to it in a live meeting: a context layer that remembers your team's work, and a personal AI teammate grounded in real sources. Both are shipped. Now the product meets the only test that counts: real engineers, real work, real meetings.

What real-world testing means

We're onboarding our first 5 to 9 engineering teams. Each person connects their own tools: GitHub, Slack, Gmail, Docs. Scriven Labs quietly mines the work each person owns and drops everything else. Nothing is captured that isn't yours, and nothing is stored that you didn't produce.

Every answer resolves to a real, retrieved artifact: a pull request, an issue, a decision record. If Scriven Labs can't cite the source, it doesn't say it. No hedging, no guessing, no confident-sounding fiction. That rule is enforced in the code, not just in the prompt.

Why now

The hardest part of a meeting-intelligence product was never the meeting. It's whether the memory underneath is trustworthy. So we proved the load-bearing guarantees first: tenant isolation at the database layer, and provenance-gated retrieval, both verified in CI against real Postgres before a single card ships to a real team.

Scriven Labs writes, it never speaks into the room. It reads your PRs, issues, and decisions, then hands you the exact context you need at the moment you need it. Private by default: every nudge is yours until you decide to share it.

What we're looking for

Teams that meet regularly, ship real code, and feel the cost of lost context: the answer that was in the room last week and nobody could recall fast enough. Early teams get in free while we build, and lock in founding-team pricing for good.

If that's your team, join the waitlist. We're onboarding in small waves and taking teams that meet regularly first.