NEUVIOR Innovation Conversion Ledger
A proposed public reporting ledger.
Use it to examine what happens after innovation support is awarded: paid operational tests, repeat procurement, evidence demanded by buyers, justified stopping decisions and learning that changes the next programme.
Published by NEUVIOR · 3 August 2026 · Version 1.0
Count what happens after innovation support, not only what is awarded.
• Public innovation programmes should report more than the value and number of awards made.
• A grant validates that a proposition merits defined development. It does not establish customer adoption, clinical efficacy, regulatory approval, procurement readiness or realised public value.
Scientific discussion can begin the work; a conversion record must explain what followed. This external staged scene is illustrative, with no NEUVIOR experiment, validated board data, award outcome or commercial conversion depicted.
shotsstudio / Comaniciu Dan · Scientists Working in Laboratory Examining Chemical FormulasEnvato Elements commercial licence
Source and image notes
Full frame retained; EXIF orientation honoured, proportionally resized and encoded as WebP. No crop, creative colour grading, compositing or generative changes.
Award record
Publish the cohort, purpose, selection date and reporting boundary without treating selection as delivery.
Input
Conversion record
Follow the cohort into paid operational testing, repeat procurement, evidence led stopping or a documented stall.
Progression
Innovation reporting proposal
What happened after the innovation award announcement?
A cohort can progress, stop for good reasons, stall or disappear from follow-up. Inspect those distinct paths in NEUVIOR’s proposed reporting ledger. The views show why a credible public account needs definitions and learning, not a single success percentage. No live programme dataset or NEUVIOR conversion rate is plotted here.
Editorial decision model, not measured NEUVIOR results.
Make the denominator and missingness inspectable
The measurement lens asks whether the reader can reconstruct what was counted and what was not. Time windows, exclusions and event definitions determine the meaning of a rate. This authored map contains no observed counts and must not be read as a chart of programme performance.
Define the cohort and events before reporting a percentage.
Defined cohort
A reporting cohort needs its purpose, selection date, denominator and observation window. Define a paid operational test and repeat procurement before measuring them. Missing data and exclusions must stay visible so readers cannot mistake unlike programme routes or incomplete follow-up for a comparable success measure.
- Follow the defined event
- Expose the constraint
Cohort, event definitions, time window and source.
A useful next stepWhich projects and events belong in the measure?
Progression, justified stopping, unresolved stalls and missing follow-up produce different kinds of programme learning.
Learning record
Show how buyer evidence, failure reasons and stopping decisions changed later programme or procurement design.
Public value learning
Where disclosure and programme design permit, an innovation conversion ledger should track:
• Each measure needs a defined cohort, denominator, time window, evidence source and accountable reporting owner. Commercial confidentiality, data protection and lawful disclosure requirements still apply.
Paid operational test
the proportion of funded projects reaching a paid operational test within 12 and 24 months;
Time to first engagement
median time from award to first paid public sector engagement;
Repeat procurement
the proportion progressing to repeat procurement;
Buyer evidence
the evidence buyers required after technical development;
Reasons for stall
the principal reasons otherwise credible projects stalled;
Evidence led stop
the proportion stopped because evidence did not support progression; and
Programme learning
lessons used to change subsequent programme or procurement design.
A conversion ledger should explain the route, not manufacture a success rate.
• Programmes should define what qualifies as a paid operational test, public sector engagement and repeat procurement before measuring the cohort. Report missing data, excluded projects and material differences in programme design so readers do not compare unlike routes.
• A justified stop can be a valuable result when evidence does not support progression. A stall is different: it should identify whether the constraint concerned buyer evidence, assurance, procurement, funding timing, operating ownership, integration, market demand or another named cause.
• This proposal does not prescribe PHARMORIS or any other NEUVIOR product as the answer. Programme owners, buyers and accountable public bodies would need to define, govern and publish any real ledger in their own context.
Define
Publish the cohort, denominator, event definition, time window, exclusions and source for every measure.
Explain
Separate progression, justified stopping, unresolved stalls and missing follow up rather than hiding them in one percentage.
Change
Record which lessons altered later technical support, buyer evidence requirements or procurement design.
This is a reporting proposal, not a result or programme mandate.
• The ledger builds from Varun Sharma’s reader/founder letter published by the 
Financial Times about the work between invention and adoption. It was not Financial Times staff reporting or endorsement. The archived source record retains the publisher’s original byline.
• Publication does not indicate that a public body, funder, buyer, regulator or procurement authority has adopted this ledger. It does not evidence a NEUVIOR customer, paid test, repeat procurement, clinical outcome, regulatory approval or realised public value.
Publisher
NEUVIOR
Publication owner
Revision history
Version 1.0 · Initial publication · 3 August 2026
Current public version
Review trigger
New programme evidence, a material methodological challenge, applicable disclosure change or adoption by an accountable programme owner.
Reassess and republish
Can the public see what happened after the award announcement?
• If paid testing, buyer evidence, repeat procurement, stopping decisions and programme learning cannot be traced, the conversion record remains incomplete.
