Triage & deflection systems
Tickets, claims, support queues. We sort, summarize, and auto-resolve the long tail; humans keep the hard cases.
- StackPostgres · Python
- Build6–8 weeks
- Typical lift40–75% deflection
A small studio of senior engineers shipping production AI for SaaS companies. Eight weeks from problem to live—no framework lock-in, no orchestration vendors, no slide decks.
We integrate against the LLM API the same way we integrate against Postgres. No agent frameworks, no orchestration vendors, no migrations every six months.
Every line of code on your project is written by an engineer who has shipped before. There is no junior team behind the curtain, no staffing pyramid.
On day fifty-six you own the code, the prompts, the evals, and a runbook your team can extend. We do not host black boxes that hold your business hostage.
One of three engagements shipping this quarter. Direct LLM integration over a Series-B insurer's legacy claims pipeline.
We integrate against the LLM API the way you integrate against Postgres—no agent frameworks, no orchestration vendors, no migrations every six months.
Three engagement shapes. Fixed scope, fixed fee, real software—and you own everything we leave behind.
Tickets, claims, support queues. We sort, summarize, and auto-resolve the long tail; humans keep the hard cases.
Retrieval over your knowledge base, threaded into the tools your team already opens at 9 a.m. on Monday.
A model-powered slice inside your product, with the eval suite, observability, and runbook your team can extend.
Median time from kickoff to a build serving production traffic.
Average reduction in human-task cost across our last twelve engagements.
Mean productivity lift measured at the team level, ninety days post-launch.
Average first-year ROI, weighted by engagement size, on closed projects.
Each stage has one deliverable and one decision point. No status meetings, no slide decks—just the next thing, on a Tuesday.
Two senior architects on-site for a week. The output is a written brief naming the smallest valuable thing to ship.
Code, prompts, evals, infrastructure. Direct LLM integration on your stack, on your data, behind your auth.
A test suite for behavior, not just unit tests. Dashboards your team will actually open on Monday morning.
A week of pairing with your team. We leave a system your engineers can extend, not a binary they can't.
Five of the last twelve engagements. Each one is a real system running today, with measured outcomes.
Yes—forty-seven times so far. The trick is that we scope the smallest valuable thing in week one, then defer everything else to the runbook. We will turn down work that we can't scope into eight weeks.
Less surface area, fewer migrations, lower bills. We integrate against the LLM API the same way we integrate against Postgres—it's a tool, not a platform. Our clients keep that bet for years.
You own the code, the prompts, the evals, and the runbook on day one. There is no license, no lock-in, and no retainer that bills past cutover.
Two senior engineers, named, on the contract. There is no junior team behind the curtain. The people you meet on day one are the people writing every line.
We carry a 90-day warranty. If a regression ships from our code, we fix it on our dime—no retainer, no rebill.