Models change every quarter. Traffic doesn’t wait for your roadmap. We’re a senior team that designs, builds and runs the AI, data and product software that keeps working through both.
Working with seed teams, Series C scale-ups and Fortune 1000 operators.
Pick the one you need now. Most clients come for one and end up using two, because the model, the pipeline and the app were never really separate problems.
Fine-tuning, grounding, agents, vision, serving, evals and guardrails.
Lakehouse, orchestration, transforms, CDC, forecasting and lineage.
React 19 stacks, Postgres backends, Stripe + Auth, CI/CD and IaC.
Native + cross-platform, on-device AI, AR, BLE and offline sync.
A 30-minute call to pressure-test the idea. We leave with a shared definition of done, the risks we spotted, and whether we're even the right team for it.
Stack, data flow, model choice, integration surface. One week of diagrams and plain trade-offs, so we're never refactoring architecture in week five.
Weekly demos on staging. We ship thin slices, instrument everything, and hold ourselves to accuracy, latency, and cost numbers you signed off on, not on vibes.
Production rollout, dashboards that page the right person, and a handover your engineers can read on a Friday afternoon. Retainer support is optional, not a prerequisite.
All live, all measured, all with the logs to prove it. Scroll through or poke a case study open.
→ all_case_studies()
Federated models call failures early across four plants.
6 of 6 said they’d hire us again. That’s the metric we care about.
“Three of my analysts were drowning in contract review every week. What they built shows its work — that’s what finally got us past legal.”
“Our search was converting worse than sorting products alphabetically. Six weeks later, CTR up 50%.”
“My team pushed back hard on letting AI near pricing. Then they watched participation triple in a quarter.”
“Our HealthTech auditors don’t tick boxes, they break things. The pipeline they built held up under that.”
“I was about to replace our chatbot with something dumber. Glad I didn’t.”
“Six weeks, 30k docs a day in production, nothing caught fire. I’ve done this 20 years — that’s not normal.”
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