Your most valuable data is the data you can't use.
Organisations sit on valuable data they can't commercialise — because no one can say, with evidence, whether it's legal to release, how valuable it really is, and how to take it to market. TokenizeScore answers those questions, traced to recognised standards — without the data ever leaving your hands. We won't invent a number; we'll show you everything the frameworks actually tell you.
The most valuable moment in any data deal is also the most dangerous.
Handing data over. The instant records move, you've created legal exposure, a data-sharing agreement to negotiate, and a re-identification risk you may not have measured. So most valuable datasets never move at all — they sit idle, because the organisation can't prove, to its own board or to a regulator, that releasing them is safe, lawful, and worth doing.
Idle by default
Valuable data stays locked because no one will sign off on releasing it.
No common standard
"Is it anonymous enough? Is it worth pursuing?" gets a different answer from every consultant.
Risk lives in the handover
The moment data moves is the moment exposure begins.
Three questions answered about your data asset — every judgement traced to recognised standards.
TokenizeScore assesses a data asset and answers what a board actually needs to know before commercialising it.
Can you release it?
A Red / Amber / Green readiness verdict across seven dimensions — from whether individuals can be singled out to whether a lawful basis exists — assessed against ICO-aligned standards, with a board-ready report and a named fix-list for anything Amber.
How valuable is it, and why?
A sourced value-driver assessment — what makes this asset more or less valuable (rarity, linkage, coverage, richness and more), and concrete, sourced ways to increase that value — drawn from the NHS Value Sharing Framework, UK Government data-economy work, and the international accounting and valuation standards.
How do you commercialise it?
A readiness pathway and the sanctioned commercial mechanisms (upfront, subscription, milestone, royalty), plus exactly what a formal monetary valuation would require — so you know the honest next step.
We don't invent a price. No published framework supports turning a dataset's shape into a specific number — so instead of a figure you couldn't defend, we give you everything the frameworks do tell you: how valuable your asset is, why, how to make it more valuable, and how to take it to market.
The only assessment that sees value and risk in the same data.
The very features that make a dataset valuable — how richly it's linked, how complete its coverage — are often the same features that make it re-identifiable. Assess only the value and you'll under-price the risk; assess only the privacy and you'll miss the worth.
TokenizeScore sees both from one engine: it shows you where your data's value and its disclosure risk are the same thing, and how to capture the value while managing the risk — for example, through a controlled-access route rather than open release. No value-only or privacy-only tool can tell you that.
Don't take our word for it. See a real assessment.
We've assessed five worked examples across healthcare, finance, retail and the public sector — from a clean release candidate to a dataset the engine refuses, on the law, to pass. Open any of them: the verdict, the reasoning, the value-driver assessment, the commercialisation pathway. No signup, no number we can't defend.
NHS imaging research extract
Strong data, a controlled-access route, and where its value and its re-identification risk are the same thing.
Cardiology cohort
We won't flatter patient data with a green light.
Workforce export
The engine that says no, and says exactly why.
Actuarial mortality aggregate
Ready to commercialise — with the mechanisms to do it.
E-commerce loyalty extract
Relatable retail data, with a costed fix-list and value drivers.
Four steps. The data never leaves your environment.
Describe your asset
A guided questionnaire captures the shape of your data — its columns, classifications and summary statistics — never the records themselves.
Get a verdict and a value-driver assessment in minutes
A Red / Amber / Green readiness verdict, plus a sourced read on what makes your asset valuable, where its value and risk coincide, and how to increase its worth — no fabricated figure.
Act on a board-ready report
The verdict, the fix-list for anything Amber, the value drivers and improvement levers, the commercialisation mechanisms, the methodology behind every judgement, and a permanent, tamper-proof record.
Take it to market responsibly
With readiness established and the value drivers understood, choose the right route — controlled access, licensing, partnership, or (where genuinely relevant) tokenisation — grounded in the assessment.
Most engagements begin with a conversation and a pilot, not a checkout. Enterprise and public-sector data decisions are made by committees, not credit cards — so we start by understanding your data estate and running a first assessment together.
We assess the shape of your data. The shape is all we ever see.
TokenizeScore produces its assessment from metadata and statistics you compute in your own environment — column classifications, group sizes, governance answers — never from the records themselves. No names, no values, no files. Because the inputs aren't personal data about your data subjects, there's nothing for anyone to re-identify in what we hold.
The result: a rigorous, sourced assessment and a board-ready report without a data-sharing agreement, without moving a record, and without us becoming a processor of your data subjects' information. The most sensitive moment in a data deal — the handover — simply doesn't happen.
- No personal data leaves your environment
- No data-sharing agreement required
- We do not become a processor of your data
- The handover simply doesn't happen
Every judgement has a source.
Our assessments operationalise published standards, not opinion: the ICO's anonymisation principles for releasability; the NHS England Value Sharing Framework, UK Government data-economy work, Ofgem's energy data guidance, and the international accounting (IAS 38) and valuation (IVS) standards for value and commercialisation. Where a defensible monetary figure would need deal-specific inputs we don't have, we say so — and tell you exactly what those inputs are.
For the organisations that hold the most valuable, most sensitive data.
NHS & health
Imaging, registries, biobanks, research extracts.
Financial services & insurance
Actuarial, claims, risk datasets.
Public sector
Statutory registers, operational and infrastructure data.
Energy & utilities
Smart-meter, network, and system data.
Research & universities
Translational research, licensable IP.
Enterprise data teams
Any organisation weighing whether to commercialise a data asset.
See what your data is ready for.
Start with a live worked example, then let's talk about your data estate.