Invention disclosures convert into summary-first, decision-ready assessments with supporting evidence.
Back to all proofs
From days of invention assessment to decision-ready reviews in hours
Client
Date
Leading US research university TTO
08/2026
The challenge
A leading US public research university's technology transfer office assesses a continuous inbound pipeline of invention disclosures, each needing a structured read on market, prior art, readiness and commercial potential. The office put that at 60 to 100 hours of manual work per disclosure, so a small team evaluated a few properly and triaged the rest on instinct.
The solution
FifthRow set up an invention commercialisation capability on a single intake: a disclosure in, a structured assessment, a partner-facing summary and a ranked list of licensing candidates out. It runs against the office's own evaluation template rather than a generic one, so the standard is the office's and the work is not.
50%+
less time per invention assessment81
structured reviews, 60–100 hour benchmarkAssessment timemore than 50% shorter, days to hours
Reviews in twelve months81
Analyst time equivalent4,860–8,100 hours, at 60–100 per disclosure
Evaluation standardthe office's own template, three iterations
Work per technologyone intake, not two submissions
The first system does the work that decided how many technologies got a proper look. A disclosure goes in, as a short description or an uploaded document, and a standalone assessment comes back with the evidence underneath it.
Core Activities
- Takes a short description or an uploaded disclosure, nothing preformatted
- Returns one structured assessment per disclosure: market, prior art, competitive position, readiness, commercial potential, sources attached
- Scans the patent landscape against the disclosure itself
- Flags maturity, risks, validation needs and adoption barriers in writing
- Applies the office's own template, iterated across three versions to its standard
The Results
A summary-first assessment that stands on its own for an internal decision, and stays useful afterwards as a durable reference for committee discussions and early partner conversations rather than being rebuilt each time it is needed.
60 to 100 hours
manual work, one structured runAn assessment tells the office what it has. The second system tells everyone else why it matters, from the same inputs, so the commercial story is not a separate exercise starting from a blank page.
Core Activities
- Clarifies what an invention is and why it matters, from a technical description
- Translates technical features into outcomes an external reader recognises
- Defines the unmet need and the highest-probability applications
- Packages it as an executive summary for outreach, decks and updates
- Generates from a short input or a full document, on demand
The Results
A credible commercialisation narrative exists for a technology as soon as the assessment does. Inventors and market messaging start from the same document, which is what makes a first partner conversation about fit rather than about interpretation.
1 intake
behind assessment and partner summaryThe last stretch of the office's mandate is finding who would actually license the technology. The third system establishes what a good fit looks like, then returns ranked candidates with the reasoning attached.
Core Activities
- Establishes what a good-fit partner looks like before any searching
- Ranks matching companies by strategic and domain alignment
- Attaches a rationale to each candidate, so a shortlist can be argued
- Returns relevant contacts alongside the companies, ready for outreach
- Works from the same inputs as the assessment, no new brief
The Results
The path from a completed assessment to a target list to outbound contact runs inside one process. Manual list-building stopped being the tax on every technology the office decided to pursue.
2
vendor submissions replaced by oneWhat it proved
In twelve months the office completed 81 structured reviews against one configured standard covering market, prior art, competitive position, readiness and commercial potential, with sources attached. Against the office's own benchmark of 60 to 100 hours per disclosure, that is 4,860 to 8,100 analyst-hours saved. In its own words, assessment time fell by more than half and days of research became hours.
What the office holds is a standard rather than a stack of reports. The full inbound portfolio is now triaged and prioritised for licensing instead of screened on instinct, and the commercialisation half of the mandate runs off the same inputs rather than being bought per technology from a second supplier. The office calls the result "a game-changer for resource-constrained tech transfer offices", reached without adding internal headcount.
Results
| Metric | Benchmark | Result | Improvement |
|---|---|---|---|
| Assessment time | days per technology, office's own account | the same research, in hours | More than 50% less time |
| Analyst time per assessment | 60–100 hours, the office's benchmark | 81 structured runs in twelve months | 4,860–8,100 hours saved |
| Pipeline properly evaluated | a few properly, rest on instinct | the full portfolio assessed and ranked | Instinct replaced by a standard |
| Evaluation consistency | shaped by whoever ran it | one configured template on every disclosure | One standard across the portfolio |
| Commercialisation research | bought separately from a second supplier | produced from the same inputs | Two submissions replaced by one |
| Licensing target list | assembled by hand, per technology | ranked candidates, rationale and contacts | A shortlist ready for outreach |
Every disclosure is read against the same configured template, so two technologies from unrelated fields can be ranked side by side.
Technical descriptions translate into outcome-led summaries an external reader can act on, generated from the same inputs as the assessment.
Credible licensees arrive ranked by fit, with the reasoning and the relevant contacts already attached.
More inventions move through evaluation without expanding a resource-constrained office.
Outputs remain useful for committees and early partner discussions instead of dying in email threads.
From a six-step manual drug lookup to a single automated research run
Client
€2B+ global pharma and cosmetics packaging group
Date
08/2026
7,212
analyst-hours equivalentA first-draft value proposition in four weeks, not seven months
Client
Global health technology company
Date
08/2026
4 weeks
first draft, not seven monthsFor Enterprises
ProofSee all
From a standing start to an AI venture serving small businesses
From 72 patents to 4 commercialisation-ready technologies
Cutting a four-month research cycle to six weeks across five validation workstreams
From a weekly newsletter to a self-running innovation radar
A full year's validated-concept target, met in the first quarter
A utility innovation lab that answers its own questions in a day
Finding the next high-growth US metro in five days
FifthRow – The Agentic Consultancy
Copyright 2026 FifthRow Inc., Privacy policy