University spin-outs
Spin-out Product & Data Readiness Review
Controller, processor, data-flow, and infrastructure questions made explicit.
01 · Primary offer
Readiness
Reviews
Engineering-led reviews for healthtech, AI, and research-led software teams preparing for customers, funders, regulatory scrutiny, or technical diligence. I help teams understand architecture, data-flow, GDPR/privacy, and AI governance risk, then turn it into practical engineering priorities.
This is engineering-led readiness work, not legal advice. The goal is to help founders and technical teams see risk clearly, prioritize remediation, and work more effectively with legal, security, or regulatory specialists where needed.
Segment-specific review outcomes
Healthtech startups
Healthtech Data & Architecture Readiness Review
Data-flow and architecture risks mapped in language founders and engineers can act on.
AI SaaS founders
AI Product Risk & Privacy Review
AI/data governance exposure translated into implementation tasks.
Funding or diligence prep
Funding / Due Diligence Technical Readiness Review
Top risks prioritized by business impact and engineering effort.
AI-built app operators
AI-built App Production Readiness Review
Security, privacy, dependency, and ownership risks surfaced before launch.
Each review is scoped around the same practical outputs: data-flow map, risk register, DPIA/data governance gap notes, architecture risk review, integration or discoverability notes where relevant, and a prioritized engineering backlog.
Three ways to work together
Tier 1
Diagnostic Audit
€1,200 fixed
The easiest first step when you need a senior technical read on architecture, data flow, privacy, and compliance risk.
- +60-90 minute call
- +Architecture and data-flow review
- +Risk register
- +DPIA/data governance gap notes
- +Top technical/compliance issues
- +30-day engineering backlog
Early prospects, founders with a specific concern, or teams deciding whether deeper work is needed.
Book a diagnostic audit callTier 2
Deep Audit + Roadmap
€3,000-€6,000
A serious consulting engagement for teams preparing for scale, funding, regulated customers, or investor/client diligence.
- +Codebase and infrastructure review
- +Data-flow map and privacy review
- +GDPR, DPIA, and governance gap notes
- +AI/data governance risks where relevant
- +Integration/discoverability notes where relevant
- +Prioritized engineering backlog
- +Founder/team presentation
Seed to Series B teams, AI or sensitive-data products, and teams that need a concrete engineering roadmap.
Plan a deep auditTier 3
Fractional Technical Stewardship
€2,000-€6,000/month
Recurring technical leadership after the audit, so architecture, privacy, security, and diligence work stays owned.
- +1 day/week technical leadership
- +Architecture review
- +Compliance-aware product planning
- +Dev team oversight
- +Security/privacy hygiene
- +Vendor/platform decisions
- +Investor/client due diligence support
Teams that need ongoing senior judgment without hiring a full-time CTO or staff/principal engineer.
Discuss stewardshipHow the funnel works
01
Conversation
We confirm stage, product risk, data sensitivity, and whether an audit is worth doing.
02
Diagnostic audit
You get a focused read on the main technical and compliance risks plus a 30-day action plan.
03
Roadmap
If the risk is material, the deep audit turns code, infrastructure, data, and compliance findings into priorities.
04
Monthly stewardship
For teams that need continuity, I stay involved as a fractional technical steward.
Best for
- +University spin-outs leaving research infrastructure for commercial deployment
- +Healthtech and AI startups handling sensitive or regulated data
- +Founders preparing for hospital, university, public-sector, investor, or enterprise review
- +Teams with engineering capacity who need senior prioritization before implementation
Not the right fit if
- -Pure legal advice or formal legal sign-off
- -Checkbox compliance without engineering follow-through
- -Pre-idea founders who do not yet have a product, repo, or data flow to review
Proof points
11+ years shipping production software
Sensitive-data systems for 5,000+ users
Healthcare, AI, education, and SaaS delivery
Architecture, privacy, GDPR, DPIA, and AI governance readiness
Have questions? Email first, or book a diagnostic audit call.