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Data handling terms
Enterprise agreements that keep client data out of training pipelines, in writing.
Our relationships with leading model providers give clients access to production-grade AI without vendor lock-in or unvetted black boxes.
Why this partnership exists
We evaluate model providers the way we evaluate engineers, on capability, safety track record and how confidently they perform under real production conditions.
The best model for a job changes every few months. Our commitments to clients shouldn't.
Betting a product's core intelligence on a single model provider is a bet the client didn't sign up for. We saw teams get boxed in by that choice more than once.
So we built the ability to swap the underlying model without rearchitecting the product, which means we can hold providers to a real standard instead of accepting whatever they ship next.
Every provider is evaluated against the same bar before a client's data touches their models.
Enterprise agreements that keep client data out of training pipelines, in writing.
Providers with a real track record of catching failure modes before customers do.
Production-grade uptime and response times, not just impressive demo numbers.
Architecture that lets us swap providers without a client-facing rewrite.
The same evaluation rigor we apply to every agentic system we ship.
Candidate models tested against the client's real data and real edge cases, not a generic leaderboard.
Structured evals and human-in-the-loop checkpoints built around whichever model is chosen.
Production rollout with cost, latency and safety monitoring from day one.
Regular reassessment as new models ship, so the product keeps the best available intelligence.
AI that's chosen on merit, reviewed on a schedule, and never a black box.
A client should never have to wonder which model is making decisions inside their product, or why.
That means clear documentation of which provider handles which task, what data it sees, and what happens when its confidence drops.
It also means the freedom to move to a better model the moment one exists, instead of being stuck with whichever provider we integrated first.
For the rest of our partner network, see all partners or talk to us.