Method Data Science is the bolt-on innovation team for PE-backed companies. We find the proprietary expertise inside your business, rebuild it as defensible software, protect the IP, and deploy AI that compounds the moat before exit.
Method is built around all three disciplines under one roof, with a single accountable lead owning IP strategy, technical codification, and AI implementation end-to-end.
Deep IP experience and multiple patents issued or pending. We spot what's protectable in your business, often before your own counsel does.
CTO-grade engineering across HIPAA, fintech, logistics, and wealth management. We turn tacit expertise into shipping software owned entirely by you.
LLM pipelines, agentic workflows, and nature-inspired algorithms anchored in your proprietary data. AI that widens the moat instead of draining it.
Start anywhere. The phases are designed to compose. Most engagements run Phase 0 → 1 → 2 over the first nine months, with Phase 3 triggered post-acquisition or pre-exit.
Firm-voiced summaries of completed engagements. Active retainer clients are omitted. All case studies are published with client knowledge.
Outcome: Multi-section defensibility audit and technical architecture review across proprietary data assets, methods, and surface area. Findings adopted into product and IP roadmap across a multi-phase engagement.
Physician targeting + ecosystem map operational. Built the treatment ecosystem data layer and a physician-scoring system supporting the commercial team.
Proprietary relationship expertise captured as a defensible system asset. Built a churn prediction model codifying senior-advisor intuition before attrition hit.
Patent-pending technical assets filed. Multi-year data engineering and analytics engagement contributing to the company's IP surface.
Replaced offshore dev team as full product engineering. Clinical AI scribe scaled to enterprise platform. Method embedded as fractional CTO plus dedicated engineering team.
Concept to demo-day in under six months. Codifying legal expertise into a defensible AI-enabled product. Active retainer with full product ownership.
Codified domain expertise into a technical system. Fixed Phase-1 build then ongoing retainer. Full product and 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.
Insects are maximally efficient. Mammals are redundant, slow to mature, and survived five mass extinctions. Companies optimized purely for efficiency are fragile. Method invests in redundancy and resilience where it matters: data, IP, and institutional memory.
Walls get climbed. Ecosystems absorb invaders and turn them into nutrients. We build defensibility as a network of interdependent assets: proprietary data, codified expertise, patented methods, institutional workflows. Remove any one and the others still hold.
r-strategists produce many offspring and bet on volume. K-strategists invest heavily in fewer, stronger progeny. Most AI-era companies are r-strategists by default: ship fast, don't protect anything. PE-ready businesses need K-strategy around the assets that actually compound.
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.
