We design custom AI models, fine-tune frontier LLMs to your data, and build production-grade AI systems for teams that need more than a generic chatbot. That includes private deployments, retrieval systems, and agents.
End-to-end AI systems (model, retrieval, evaluation, and deployment) tuned to your problem and your data.
Models built for your domain, whether trained, distilled, or composed from open-source foundations.
Adapt frontier models to your data, tone, and judgment, with rigorous evaluation at every step.
Wire your AI into the knowledge it actually needs: your documents and your data.
Multi-step agents that draft, decide, and act inside your workflows.
Bring AI into the products and tools your team already uses, without locking you into one vendor.
Production AI that is monitored, evaluated, and built with guardrails from the start.
We start from your problem rather than the model, and we only ship what we can measure.
We map the business problem, identify where AI helps versus where it doesn't, and de-risk early with a clear evaluation plan.
We assess data readiness, build labeled eval sets, and define the metrics you'll judge the model on before any training begins.
Prompt, fine-tune, or train: we pick the simplest approach that meets the bar and iterate against your eval set.
We ship to production with guardrails, observability, and a feedback loop so the system gets better with use.
Provider-agnostic by default. We pick the right model for the job, whether proprietary, open, or somewhere in between.
Tell us the problem you're trying to solve. We'll tell you whether AI is the right tool, and how we'd build it if it is.