For VP Engineering · 50–500 devs

Day-one shipping velocity.

Onboard engineers on day one with a chat that cites every code path, doc, and decision. Catch spec-code drift the day a PR merges, not the day QA finds it.

Before vs. after

The chaos → the cleanup.

Without a context engine

  • Onboarding

    2–4 weeks of code-reading and Slack pings.

  • Drift

    Caught in QA. 10–100× cost of catching pre-merge.

  • Knowledge silos

    Engineers re-invent what another team shipped last quarter.

With ContextBrain

  • Onboarding

    Day-1 chat with citations. 2× faster onboarding per published benchmarks.

  • Drift

    Same-day alert to PM + Tech Lead when spec and code diverge.

  • Knowledge silos

    One graph, every project. Cross-team citations across the org.

Indicative outcomes

What pilot teams have reported.

Based on industry benchmarks and pilot deployments — not platform-wide guarantees. We will replace these with audited customer data after the first five paying teams. Reach out if you want the underlying methodology.

Pilot

faster engineer onboarding

Pilot

60%

fewer spec-drift bugs caught in QA

Pilot

1

Postgres — no separate vector DB

“We'll add a real customer quote here as soon as we have one. Until then: the most surprising thing for our beta teams has been that clientsuse the chat more than internal staff do.”
— ContextBrain team

Ready to see it for your team?

Spin up a free workspace, connect your first repo, and ask your codebase anything in under five minutes.