From audit to production. We design, build, and deploy AI systems that move past pilots and into production.
You're not sure where AI fits
1–2 weeks to a prioritized AI roadmap. The bets worth making, the ones to skip, and the first quick win scoped enough to start building.
Read about the audit →You know what to build
Tight scope, opinionated build, working software every week. By the end you have proof in production, not a deck about proof.
Read about quick wins →Your pilot is breaking in production
Evals to catch regressions, cost discipline, governance, and reliability tuning. The boring infrastructure that keeps AI shipping.
Read about production support →From the audit that finds your first use case to the evals that keep production honest.
Agents that survive production traffic — and don't quietly break at 3am.
Know where AI will pay off before you invest. 1-2 weeks to a prioritized roadmap.
Retrieval and memory systems that ground AI in your data, not the internet.
Evals, guardrails, and cost discipline, so your AI keeps shipping under real load.
Front-desk voice agents that handle scheduling and support 24/7.
Production AI applications, built end-to-end by the same team: frontend, backend, AI, infrastructure.
An internal AI voice for boards and execs, without a 12-month hiring search.
Scope, outcomes, timelines, and what we ship at each step.
Some clients hand us a spec on day one. Some don't know what to build yet. Some have a pilot bleeding money. The phases are the same. The starting line moves.
We figure out where AI will actually move your numbers, and where it'll waste a quarter.
No frameworks, no maturity scores, no four-quadrant matrices that look smart in a slide deck. A short list of bets, ranked by ROI and effort, with the first two already scoped enough to start building. You leave with a roadmap you'd defend in front of your board.
Begin here if AI matters for your business and you don't yet know where to point it.
Book the audit →We pick the highest-leverage bet and ship it. Not a demo. The actual thing, in production, used by real people.
Most engagements live here. The pattern: tight scope, opinionated build, working software every week, a hard line between what's in v1 and what waits. By the end you have proof, not a deck about proof, that you can take to leadership and use to fund the next bet.
Begin here if you already know what to build. You don't need more discovery. You need a team that can ship.
Scope my V1 →Most AI pilots die on the way to production. We build the layer that keeps yours alive.
Evals to catch regressions before users do. Cost controls so the LLM bill doesn't double every quarter. Governance and audit trails for the people who'll ask. Reliability tuning for the load you actually have, not the load the demo had. The boring infrastructure nobody puts in a deck, and everybody depends on.
Begin here if your pilot works in the demo and breaks in production. Or works, but costs too much to scale.
Stabilize my pilot →Pick the phase you're in. We won't make you sit through the others.
Each one in production today. Open one for the spec, the build, and the numbers.
Unified patient data across 8+ sources. Built a multi-agent system that generates pre-appointment summaries for clinicians.
Built an AI scribe, voice agents for patient intake, and a HIPAA-compliant telehealth platform from the ground up.
Full-stack case management platform with intelligent case distribution, audit workflows, and hospital dashboards.
Transformed a B2C personal AI assistant into an enterprise-grade voice and speech platform for field sales.
Five principles. One way of working.
Code in your repo, not slides in your inbox. We design, build, and ship working AI systems.
We use the simplest tool that works. Sometimes that's a prompt; sometimes it's no AI at all.
V1 launches and systems running in production. We've been on both sides. We design for the real failure modes between demo and prod.
Proof: Unified data + multi-agent system at production scale →
We don't bring a framework looking for a project. We meet you where you are: early exploration, stalled pilot, or production push.
Proof: Re-architected a B2C voice product into an enterprise platform →
We don't disappear after deployment. We train your teams and build systems that sustain and evolve.
Proof: 500+ consultations/month running on the platforms we built →
It’s not done when it works.
It’s done when it’s well-built.
Tell us where you are and what you need. We'll come back with a clear, honest plan within 48 hours.