BuildAIproductswithpeoplewhoship
We're a remote-first team of about 120 people across 14 countries. Small pods, real ownership, and a bias toward shipping over long planning cycles.
Howwework
Evaluation before opinion
We don't decide a model is good enough because a demo looked convincing. Every system we ship is measured against a written evaluation set built from real, client-specific data before it reaches a user.
Working software over long roadmaps
A six-month plan is easy to write and hard to trust. We would rather hand you something running in production in six weeks and adjust course from there than perfect a plan nobody has tested.
Honest scoping, even when it costs us the project
If a use case isn't ready for AI, or the data won't support it yet, we say so before taking your budget. We have turned down engagements we didn't believe would work, and we'd do it again.
Security and governance from the first commit
Access controls, audit logging, and data handling policies aren't a phase-two add-on in our process. They're part of the architecture sprint on day one, because retrofitting security into a live AI system is where real incidents happen.
Currentopenings
Don't see the right role? Reach out anyway, we're always meeting strong engineers and designers.