Method Data Science is a senior AI engineering studio. We turn the proprietary expertise that makes your company valuable into production software you own. We take over stalled builds, ship new AI products, and embed as your engineering team across regulated, data-heavy domains where most shops can't operate: clinical AI on live EHRs, legal and fintech SaaS, underwriting and logistics systems.
Method is a senior AI engineering team. We ship new AI products, take over stalled software, and embed as your engineering team inside regulated, data-heavy domains, end to end.
Ship new AI products. From an idea or a half-built app to production. LLM pipelines, agents, full-stack, cloud. We have taken products from barebones to App Store and from concept to demo-day.
Take over stalled software. Offshore team stalled, vendor underdelivered, or an AI app held together with tape. We stabilize production, own the roadmap, and ship. You own the code, end to end.
Be your engineering team. A senior, AI-native team that runs as your fractional CTO plus engineers inside regulated, data-heavy domains. We hold the roadmap and ship alongside you.
One pattern runs through every engagement we love. A domain expert with a proprietary edge, an existing business that funds the work, and no senior engineering team in-house. Three versions of the same person.
You run a profitable, specialized firm. What makes it valuable is a process only your best people can do. We codify that process into software you own, so it scales past the hours in your day.
You hired an offshore shop or a contractor, and it stalled or they walked. The software is now business-critical and half-finished. We take over, stabilize production, and ship, inside your compliance constraints.
A raise, a roll-up, or a new partner is on the horizon. Owned, defensible infrastructure raises the multiple and de-risks the transition. We build the engine, and often stay on to run it.
Start anywhere. The phases are designed to compose. Most engagements run Phase 0 → 1 → 2 over the first months. Phase 3 is for taking over a stalled vendor or offshore team without losing production.
Firm-voiced, anonymized summaries, published with client knowledge. The throughline of every one: a domain expert's edge, turned into software they own.
Outcome: Inherited a half-finished codebase and shipped a full consumer streaming app, auth, streaming, search, Stripe payments, and creator payouts, live on the App Store. Full-stack build, owned end to end by the client.
Commercial expertise, put into production. Codified a neuro-therapeutics team's targeting judgment into a treatment-ecosystem data layer and a physician-scoring system their commercial team runs on.
Advisor instinct, turned into a model. Codified which client relationships were at risk into a churn-prediction system, plus the data platform behind it, for a multi-billion-AUM advisory.
The backbone their product runs on. Built the data-engineering and analytics platform across 300M+ rows of property data, owned in-house, on a multi-year engagement.
Clinicians' documentation judgment, productized. Took over from an offshore team and scaled a clinical AI scribe from pilot to enterprise platform. Embedded as fractional CTO plus a dedicated engineering team.
A consultant's methodology, now a SaaS product. Codified a legal-industry advisor's client-feedback method into a relationship-intelligence platform for law firms. Full product, security, and roadmap ownership.
A freight operator's playbook, made software. Turned a broker's sales process into an AI-native CRM with voice capture and LLM next-step recommendations. Fixed Phase-1 build, then ongoing roadmap ownership.
Method is run by technologists who came up through field ecology. That lens changes what we look for in your company, and what we refuse to optimize for. Four principles that govern every engagement.
Dinosaurs dominated the planet for 165 million years. When the environment shifted, the lineages that survived were not the most specialized ones. They were the ones carrying redundancy they didn't strictly need in the good times: dietary flexibility, metabolic range, behavioral plasticity. Companies optimized purely for efficiency are fragile to environment change. Method invests in redundancy and resilience where it matters: data, IP, and institutional memory.
Walls fail at a single breach. Mature ecosystems keep functioning even when individual species are lost. The remaining web re-routes flows around the gap. We build resilient systems as a network of interdependent assets: proprietary data, codified expertise, hardened infrastructure, institutional workflows. Remove any one and the others still hold.
r-strategists spread thin: ship fast, reproduce everywhere, protect nothing. It's the right strategy early. But the value in an expert-led business is concentrated in a few assets: the proprietary process, the data, the judgment. K-conversion is the move that follows. Concentrate investment in the two or three assets that actually compound, codify what's proprietary, and retire the busywork that no longer serves the thesis.
Canopies get defoliated. Root networks regenerate. Method invests engineering hours in infrastructure, data architecture, and proprietary models that compound quietly over time. The marketing surface, the shiny app, the sales motion all regrow from a healthy root system.
A 30-minute call. No pitch deck. If we can help, we'll tell you. If we can't, we'll tell you that too.
