The thesis
We pair an expert with a senior AI team and define the product worth building.
Case studies
Named work coming as it ships.
A small, two-founder firm. We publish work only when the expert we built it with signs off. Nothing here is fabricated or embellished.
01 / What an engagement produces
A shipped, state-of-the-art AI product in production, built around an expert's knowledge, operated and extended over time.
The build
Forward-deployed engineers turn the expert's judgment into a product that runs, not a demo.
The handoff that never happens
We operate what we built. The system stays ours to run; the product stays yours.
The compounding
One product opens the next surface, customer, and feature. One engagement becomes a long relationship.
02 / What we build
Five kinds of software, built around real expertise across industries.
Find the expert, encode the judgment, ship the software. The categories hold across fields.
Copilots
Drafting and research assistants that reason like the senior practitioner they were built with.
Agentic workflows
Multi-step systems that carry real work end to end, with the edge cases a model doesn't know.
Decision systems
Scoring and pricing engines an operator can trust, built with the experts who own the call.
Document intelligence
Contracts and filings read the way a domain expert reads them, with risk surfaced where it hides.
Automation
Scheduling, quoting, and reconciliation, built with the people who run the floor and the crew.
03 / What we measure
Outcomes we target, written in the language of a real product.
Every engagement ends with software in production. Here is what we measure.
Evaluation against the expert
Scored against the expert's judgment. It ships when it agrees often enough to trust.
Production reliability
We measure uptime, latency, and error rates like any engineering org runs its services.
Real adoption
The people it was built for use it for real work. Usage that sticks.
Features shipped
New surfaces and customers over time. The product keeps improving after launch.
The next case study
When one of ours is ready, it will show up here, with a name on it.
Until then, let's talk through the software your expertise should become. An intro call will tell you if there's a real product to build.