There is a large delta between what models can do and what they deliver in company-specific workflows. We bridge that gap through forward deployment.
In a given week, our engineers might build eval frameworks from scratch, deploy a large-scale context ingestion engine, and present results to F500 leadership. We fine-tune models on proprietary data no frontier lab has seen and optimize agent performance against real-world outcomes.
We're excited by engineers with rigor, high customer empathy, and a bias toward action in ambiguity.