Scope the opportunity
Workflows, data, and constraints resolve into a short list of use cases where AI actually changes an outcome.
[ APPLIED ENGINEERING ]
We build the LLM and ML systems — RAG, fine-tuning, agents — with the inference services, guardrails, and eval harnesses that make them hold up under real load, real cost, and the edge cases that break weekend projects.
Explore Applied Engineering[ AI STRATEGY ]
Discovery, feasibility, ROI, and build-vs-buy folded into one costed roadmap — so a promising idea and a dead end are told apart before you spend a quarter on either.
Explore AI Strategy[ ONE TEAM ]
Starwatch connects the business goal, the data, the system we build, and the evals that prove it — before we call anything shipped.
[ HOW AN ENGAGEMENT RUNS ]
Strategy and engineering sit in one team, so evidence carries straight from the roadmap into the system we build — nothing is lost in a handoff.
Workflows, data, and constraints resolve into a short list of use cases where AI actually changes an outcome.
We build the system against an eval harness, then reproduce the highest-impact cases under real load and cost.
The system lands in your stack with docs, tests, and evals — and every result is reproducible after we've gone.
[ OPERATING MODEL ]
[ SCOPE ]
Discovery resolves into a sequenced plan your team and leadership actually agree on — fast.
[ MEASURE ]
Every recommendation and release ships with the numbers behind it — not a vendor hype deck.
[ SHIP ]
You keep the system, the docs, and the evals — with the judgment to run it after we're gone.
[ SERVICES ]
[ COMPANY ]