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Systems that understand and produce human language.
Turning the data you already hold into models and decisions.
Reading images and video, and producing new material from them.
The part most AI projects actually founder on: getting the thing built, shipped and kept running.
Deciding what is worth building, before anyone writes code.
Areas we work in beyond the core AI stack.
We run seven products of our own on this stack, so the tooling below is not a list of things we have read about — it is what we operate every day.
Everything we ship runs on managed cloud infrastructure that we also operate.
Code reaches production through pipelines, not people copying files onto servers.
Running software is only half the job; knowing what it is doing is the other half.
We build the product as well as the platform underneath it.