We believe AI is the engine of the future, but it lacks brakes. We build the brakes.
The shift from deterministic software to probabilistic models has introduced a dangerous variable: Uncertainty.
Modern engineering teams are shipping features they don't understand, relying on "vibe checks" instead of rigorous testing. This is unacceptable for mission-critical infrastructure.
Flightline gives you two things: a Rulebook that documents exactly how your AI should behave, and a Readiness score that tells you if it actually does.
Flightline started with a leadership problem, not a tooling problem.
As AI moved into production, engineering leaders were still expected to do what they'd always done: approve designs, sign off on releases, stand behind the systems their teams shipped. But the ground had shifted.
With traditional software, you could review architecture, read diffs, ask the right questions. When something went wrong, you could explain what failed and why.
With AI, that chain broke. Teams shipped features where the code looked correct, the prompts looked reasonable, the spot checks passed. And the system still behaved in ways no one anticipated.
The real problem wasn't carelessness. It was that leaders no longer had a defensible way to answer a basic question: Are we comfortable owning the risk of this system?
Approvals became guesses. Reviews became vibes. Incidents became surprises.
Flightline exists to give engineering leaders that artifact. The one that shows what risks were known, which ones were tested, and why the decision to ship was reasonable at the time.
We're onboarding select teams for early access. If you're shipping AI to production and losing sleep over reliability, we should talk.