HealthTech Foundry
From scientific possibility to commercial venture.
BuildingActive development · Founding cohort
Between research and commercialisation sits the hardest part: who is the patient, where does this sit in the care pathway, who adopts it, and who pays. This Foundry exists to work that out systematically and assemble the right venture around the answer.
Where does scientific possibility actually meet a payable, adoptable, enterable market — and what has to be true first?
Life science · Diagnostics · Cambridge cluster
The industry problem
You can't spot what you can't see.
An opportunity in healthcare can be a new modality, an unmet pathway, a capability sitting unused, or an overlap between two markets nobody has connected. None of them are visible from a single vantage point — and opportunity identification today is fragmented across specialists who never share one view.
That fragmentation is why good science gets backed badly, and why real opportunities are missed entirely.
The economics
Science is rarely the constraint. Adoption and reimbursement are.
Value in health technology is decided by whether something can be adopted into a real pathway and paid for. Scientific merit that cannot clear regulation, evidence, procurement and reimbursement is trapped value, however good the work is.
Where can AI fundamentally change the economics?
Created
A capability that fits a pathway, is adoptable by a real buyer, and is reimbursed.
Destroyed
Years spent on markets that are not enterable, and evidence generated in the wrong order.
Trapped
IP, data and capability sitting unused because nobody modelled the business around it.
The Foundry thesis
ThesisOpportunity discovery should be structured, not anecdotal.
If scientific possibility, clinical viability, reimbursement, capital and competitive whitespace are held in one continuous view — with human judgment deciding what matters — then the decision to commit can be made on evidence, and the venture can be shaped around the opportunity rather than the reverse.
The system
Three layers, one machine.
Discovery, productisation and venture assembly run as one loop, with human expertise deciding at every consequential step.
Opportunity intelligence
From fragmented view to validated opportunity.
Cross-references where a field is heading against what can actually be built, delivered and reimbursed, then sizes it: market, competitive density, realistic addressable share.
Gap analysis
It names exactly what's missing.
The capability to build, the regulatory pathway to clear, the evidence base to generate, or the partner that has to be in place first.
Productisation
From science to adoptable product.
Patient, pathway position, adopter, payer and health economics — the work where most healthcare innovation stalls.
Venture assembly
From validated opportunity to live venture.
Internal programme, research collaboration, joint venture, licence, spin-out or partnership — shaped around what you actually hold.
What we’ve built & what we’re building
Clear about what exists today.
Proven results, work underway, capability in development, researched thesis, and where we want partners — labelled, not blurred.
Proven
- A genetics healthcare business built and operated at ecosystem scale, science through to commercialisation
- Operating knowledge of regulated clinical, laboratory and commercial models
Current
- Working with a founding cohort on real opportunities and candidate ventures
- Structured economic modelling of candidate markets with GEARS
Building
- Opportunity intelligence system holding possibility, viability, reimbursement, capital and whitespace in one view
- Repeatable gap analysis and market sizing method
Thesis
- Systematic opportunity discovery beats specialist-by-specialist assessment on both speed and quality
- Most stalled health technology fails on business design, not science
Invitation
- Scientists, clinicians and institutions holding IP, data or capability
- Investors seeking a systematic route to AI-native health ventures
The people
Where humans stay responsible.
- Scientists and clinicians own what is true and what is safe
- Ian owns the interrogation: what matters, what is being assumed, what would have to hold
- Commercial and investment partners own the decision to commit
- GKIM owns the translation into an executable business and system
The AI
Where machines change the economics.
- Holding far more of the field in view than any specialist review can
- Modelling market size, density and realistic share against evidence
- Surfacing overlaps and whitespace between markets nobody has connected
- Keeping the picture current as science, policy and reimbursement move
Human judgment first. Machine acceleration second.
The opportunity
What could emerge from this Foundry.
- 01
Ventures built from science that would otherwise have stalled at productisation
- 02
Licensable capability and spin-outs shaped around a validated opportunity
- 03
A compounding map of where health technology value actually sits
Designed with GEARS™
GKIM’s method for digitizing business ideas and industries. Industry expertise goes in, GEARS structures the economic system, and the Foundry turns the resulting knowledge into businesses.
Participate
Bring the science. We'll help find the business.
If you hold healthcare science, IP, data or capability you want to get to market, tell us what you have and we'll work on what it could become. We take a stake in what we build together.
We go deep with a small number of businesses and Foundry partners at a time. New relationships begin when we believe there is something consequential to build.
Who should get in touch
- Scientists and IP holders
- Universities, institutes and spin-out teams
- Pharma and diagnostics partners
- Investors and venture builders