Pick the shape that fits. We tailor every engagement, but these are the containers we work in most often.
We map your workflows, data, and economics. Output: a ranked portfolio of AI bets with feasibility, cost, and ROI for each.
Production retrieval over your proprietary data — chunking, hybrid search, rerankers, and an eval harness that catches regressions before users do.
Multi-step agents with tool calling, memory, human-in-the-loop checkpoints, and the guardrails to keep them out of trouble.
Domain-tuned models with smaller footprints. We squeeze GPT-class quality into models you can actually afford to run.
If you can't measure it, you can't ship it. We build eval pipelines that gate releases on quality, cost, and latency.
Senior engineers embedded with your team. We write code in your repo, attend your standups, and leave a stronger team behind.