Case Studies

Real-world examples of how we've helped organizations achieve their AI goals while navigating complex regulatory requirements.

All Workstreams AI Architecture & Build AI Strategy & Advisory Commercialization & Regulatory Due Diligence Evaluation & Benchmarking ML & Data Infrastructure
All Industries Benefits & HR Technology Healthcare Legal Multi-Industry Professional Services
Healthcare Commercialization & Regulatory AI Strategy & Advisory

Commercialization and FDA Strategy for a Wearable Biosensing Program

Serving as embedded Entrepreneur-in-Residence to a grant-funded university research program developing textile-based biosensors, covering FDA regulatory pathway, business model, and capital formation across a 24-month engagement.

Challenge

A university team had a genuinely novel sensing technology and a 24-month grant, but no regulatory pathway, no business model, and no clear route from a research prototype to a product anyone could buy or a company anyone would fund.

Solution

An embedded Entrepreneur-in-Residence role covering FDA regulatory strategy from wellness-device clearance through a software-as-a-medical-device transition, alongside customer discovery, business model development, and funding roadmap.

Key Results

  • Set predicate device analysis and a Class II clearance pathway as the program's first priority
  • Mapped the transition from a wellness device to software-as-a-medical-device classification
  • Structured a customer discovery program across clinical, research, and consumer segments
Entrepreneur-in-Residence

Our Role

24 Months

Engagement

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Healthcare Due Diligence AI Strategy & Advisory

Healthcare AI Due Diligence

Technical due diligence for a private equity investment in an AI-powered healthcare technology company, assessing engineering capability, product strategy, and how much of the AI story held up under examination.

Challenge

Assess whether an AI-powered healthcare technology company's technical capability, product roadmap, and organization justified a significant investment, and whether its AI claims reflected genuine capability or repackaged third-party tooling.

Solution

Independent technical assessment covering AI and ML capability, platform architecture and scalability, security posture, acquisition integration, data maturity, and the strength of the product and engineering organization.

Key Results

  • Established which AI claims reflected proprietary capability and which rested on third-party tooling
  • Assessed platform scalability against the growth assumptions in the investment thesis
  • Identified technical debt, security exposure, and unresolved integration risk from prior acquisitions
Technical DD

Engagement

AI/ML Capability

Focus

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Multi-Industry AI Strategy & Advisory

Portfolio Company AI Strategy

AI strategy advisory for a private equity firm's portfolio companies, working across industries to identify where AI would pay off and what it would take to implement.

Challenge

Help portfolio companies across engineering, healthcare technology, food processing, and fitness identify where AI could address real operational problems, and separate those opportunities from the ones not worth pursuing.

Solution

A workshop-based advisory process moving each company from problem identification through solution design to an implementation roadmap with architecture, data requirements, and cost estimates.

Key Results

  • Identified concrete, high-value use cases in place of general AI ambitions
  • Matched each business problem to an appropriate technology rather than a default one
  • Worked through build-versus-buy decisions with the companies making them
Advisory Workshops

Engagement

Four Sectors

Industries

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Healthcare Commercialization & Regulatory AI Strategy & Advisory

Strategic Commercialization for a Health Technology Innovator

Commercialization, regulatory, and fundraising strategy for an academic research group taking a validated clinical diagnostic technology from published research toward market entry.

Challenge

An academic group with substantial publications and clinical validation needed to turn its diagnostic technology into a company: a market entry path, a regulatory route, the right industry partners, and materials credible enough to raise on.

Solution

A strategic engagement covering market and competitive analysis, go-to-market design, FDA pathway planning, partner identification, and preparation of investor materials and financial models.

Key Results

  • Produced a business plan covering value proposition, market opportunity, operations, and financials
  • Mapped the FDA pathway and the clinical data required to support it
  • Identified target industry partners and how to approach them
Commercialization Strategy

Engagement

FDA Pathway Mapped

Regulatory

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