Services
Four ways to work with us.
Different entry points, one standard: systems that are measured, documented, and yours. Most clients start small — a prototype or an evaluation — and expand from there.
01 — Build
Applied AI development
Full-lifecycle engineering of AI systems that run in production: document extraction and processing pipelines, retrieval-augmented search over your knowledge, agentic workflows, and conversational interfaces for customers or internal teams.
What this looks like
A senior engineering team embedded with yours for four to sixteen weeks. We write the code, the evaluation suite, and the documentation. Architecture keeps the model layer behind an interface, so tomorrow's better model is a configuration change — not a rebuild.
Scope a build →02 — Advise
Strategy & advisory
For teams deciding what to do before deciding how: build-versus-buy analysis, vendor and model selection, AI roadmaps grounded in your data and constraints, and technical due diligence on AI products you're considering or acquiring.
What this looks like
A focused two-to-four-week engagement ending in a written recommendation you can act on and defend internally — with the reasoning, the costs, and the risks stated plainly. If the right answer is "wait" or "don't," that's what the report says.
Book an advisory sprint →03 — Measure
Model evaluation & migration
Leaderboards don't run your workload. We build evaluation sets from your real data, benchmark candidate models on accuracy, cost, and latency, and give you a defensible answer to "which model should we use?" — then manage the switch when it's worth making.
What this looks like
An evaluation harness your team keeps and re-runs every time a new model ships. Because we hold no vendor agreements, the numbers decide — we have nothing to gain from the answer coming out one way or another.
Benchmark your workload →04 — Maintain
Ongoing partnership
AI systems degrade quietly: models deprecate, costs drift, edge cases accumulate. For systems we've built — or inherited ones we've audited — we provide continuing engineering: monitoring, model updates, cost optimization, and new capability work.
What this looks like
A monthly retainer with a named engineer who knows your system, quarterly model re-evaluations, and a standing commitment: you can end the arrangement any month and keep everything, in working order, with documentation current.
Discuss a retainer →