Services
Four ways to work with us.
Different entry points, one standard: systems that are measured, documented, and yours.
Build
Applied AI development
Production AI systems, end to end: document pipelines, retrieval over your knowledge, agentic workflows, and conversational interfaces.
What this looks like
A senior team embedded with yours for four to sixteen weeks. Code, evaluation suite, documentation — with the model behind an interface, so tomorrow's better model is a config change, not a rebuild.
Scope a build →Advise
Strategy & advisory
Build-versus-buy analysis, vendor and model selection, AI roadmaps, and technical due diligence — grounded in your data and constraints.
What this looks like
Two to four weeks, ending in a written recommendation you can defend internally — reasoning, costs, and risks stated plainly. If the right answer is "don't," the report says so.
Book an advisory sprint →Measure
Model evaluation & migration
Leaderboards don't run your workload. We benchmark candidate models on your real data — accuracy, cost, latency — 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. We hold no vendor agreements, so the numbers decide.
Benchmark your workload →Maintain
Ongoing partnership
AI systems degrade quietly: models deprecate, costs drift, edge cases accumulate. We provide continuing engineering — monitoring, model updates, cost optimization, new capability work.
What this looks like
A monthly retainer with a named engineer who knows your system, plus quarterly re-evaluations. End it any month and keep everything, in working order.
Discuss a retainer →