Anthropic Claude specialists
AI that actually ships.
We help engineering teams design, build, and deploy production-grade AI systems on Anthropic's Claude — from first prototype to enterprise rollout.
Services
Four ways we work with engineering teams
Engagements are scoped to a decision or a deliverable — never open-ended advisory.
Why Claude
We went deep on one ecosystem instead of shallow on all of them.
Model choice matters less than the system around it — but the system is easier to get right when you know one model family properly.
Long-context reasoning
Whole codebases, contract sets, and knowledge bases fit in context — fewer brittle retrieval hacks.
Best-in-class coding
Claude and Claude Code hold up on real engineering work, not just demos.
Tool use and MCP
The Model Context Protocol makes internal systems first-class citizens of your agents.
Enterprise-grade safety
Predictable behavior, clear policy controls, and a deployment story security teams accept.
Process
Discover → Prototype → Build → Scale
A sequence designed so you can stop after any stage and still be better off.
01
Discover
Map workflows, data, and constraints. Pick the use case worth building.
1–2 weeks
02
Prototype
A working slice in front of real users, with evaluations attached.
2–4 weeks
03
Build
Harden the system: integrations, guardrails, observability, cost controls.
6–12 weeks
04
Scale
Roll out across teams and hand over ownership with documentation and training.
Ongoing
Outcomes
What good looks like six months in
Not a number on a slide — three things that are either true of your team by then, or they are not.
A system in production
Something real users depend on daily — not a demo that impresses in a meeting and is never opened again.
Evaluations your team trusts
Enough coverage of real failure cases that engineers change prompts, models, and retrieval without fear of silent regressions.
A team that doesn't need us
Your engineers shipping the second and third system on their own, with the review standards to keep quality up.
Let's find your first high-impact AI use case.
A 45-minute conversation is usually enough to know whether there's a real opportunity — and what it would take to ship it.