From 72 patents to 4 commercialisation-ready technologies

Client

Date

Top-ranked Middle East research university

08/2026

The challenge

A top-ranked Middle East research university held 72 patented technologies spanning 15 industries, with no ranked view of which were worth commercialising and no common standard for comparing fields that different. All 72 had an equal claim on a budget that could fund four.

The solution

FifthRow deployed its invention commercialisation capability: a patent portfolio in, a ranked shortlist, a validated top four and a commercialisation roadmap out. It is the same evaluation and prioritisation work our technology transfer systems now run continuously for university TTOs.

94%

portfolio de-prioritised before spend

72

patents on one standard

Portfolio assessed72 screened, 24 fully ranked

Assessment standardone 7-criterion model, 15 industries

Evidence per technology4 databases, surveys, expert interviews

Shortlisttop 4, scores 3.2–3.7 of 5

Commercialisation plantop 4: validation, testing, roadmap

01 — PORTFOLIO TRIAGE

All 72 patents were put through a single fast screen before any deep research was commissioned. The point was not to be right about the winners yet – it was to stop spending research time on the bottom half.

Core Activities

Built an assessment methodology on the university's criteria
Ran a prioritisation workshop across all 72
Scored each 0–3 on opportunity, traction and commercialisation
Tagged every patent by industry, finding 15 fields
Cut to the 36 worth researching

The Results

Half the portfolio was set aside in a single session, and the surviving 36 carried a first-pass rationale for why they survived. Deep research started with a defensible starting list rather than an inbox.

patents screened in one workshop

02 — EVIDENCE BUILD

The 36 went into structured research. Inventors filled the gaps that desk research could not close, and market databases established what already existed in each space.

Core Activities

Issued a 10-question owner survey: purpose, differentiation, applications, users, beneficiaries, cost, advantage
Interviewed inventors and experts to pressure-test use cases
Researched each across four databases: size, growth, competitors, funding, comparable patents
Established addressable market and CAGR per technology
Narrowed to the 24 the university carried forward

The Results

Each of the 24 had a documented use case, a named target user, an identified set of existing alternatives, and market data attached. That was the input the scoring model needed.

inventions into full assessment

03 — WEIGHTED SCORING & RANKING

Every surviving invention was scored on the same seven criteria and weighted the same way, so two inventions from unrelated fields could be compared on one number without pretending they were the same kind of asset.

Core Activities

Applied seven weighted criteria: addressable market, CAGR, funding traction, market readiness, market maturity, USP, entry effort
Scored each criterion 1–5 against fixed, published bands
Weighted addressable market and entry effort heaviest, 20% each
Produced a weighted score and rationale per technology
Ranked 24 into 19 positions, ties recorded not broken

The Results

A single ranked list with weighted scores from 1.8 to 3.7 out of 5, each score traceable to its criterion, its band and its evidence. Four technologies separated at the top on 3.2 to 3.7.

funding decisions traceable to evidence

04 — MARKET VALIDATION & ROADMAP

The top four went out of assessment and into the market. The test was whether real buyers experienced the problem the patent solved, and whether they would prefer this solution to the one they use now.

Core Activities

Validated the top four against their use cases
Market-tested for real demand, not stated interest
Confirmed positioning against existing alternatives
Opened partner outreach to industry operators on manufacturability and licensing appetite
Delivered four standalone reports plus the portfolio-level outcome

The Results

Four separate commercialisation cases, each delivered as its own report with market evidence behind it, and a documented reason why the other 68 patents were not funded first. The work set out three routes forward the university could choose between: carry the four into active commercialisation, run the next four up to the same standard, or continue prioritising the rest of the portfolio. All three could run at once, because the assessment standard was already built.

technologies with market-validated cases

What it proved

Seventy-two patents entered assessment. One workshop cut them to 36 on three criteria. Inventor surveys, expert interviews and four commercial databases cut that to 24; 168 criterion-level scores ranked them into 19 positions. Four separated at the top on 3.2 to 3.7 out of 5 and went into market validation, testing and a commercialisation roadmap.

The university ended with a defensible answer to the portfolio-level question: where the first commercialisation dollar goes. Ninety-four per cent of the portfolio was set aside before it could absorb validation budget, each decision carrying its own score, band and rationale, so a call can be re-opened without a re-run. The scoring model outlived the project: it applies to every new disclosure filed, turning a one-off review into standing triage. Within weeks of delivery the investment sponsor introduced the method to a second institution wanting the same exercise on its own portfolio.

Results

Metric	Benchmark	Result	Improvement
Patents on one standard	0 of 72 at the start	72 screened, 24 fully ranked	Full portfolio coverage
Narrowed to fundable shortlist	72 candidates	4	18× narrower
Decision criteria per technology	3 unweighted at first screen	7 weighted at final assessment	2.3× more criteria
De-prioritised before validation spend	0%	94%	Budget concentrated on top 4
Evidence base per finalist	inventor claim	4 databases plus expert interviews	Multi-source verification

CROSS-DOMAIN SCORING

One weighted model scores every technology the same way, so two disclosures from unrelated fields can be ranked on the same page.

REUSABLE STANDARD

The assessment model applies to every disclosure filed after the project, so triage happens as inventions arrive rather than at a periodic portfolio review.

TUNABLE WEIGHTING

Criterion weights are set to the institution's own commercialisation reality, and changing them re-ranks the portfolio without re-running the research.

COST-SEQUENCED FUNNEL

Cheap screening runs first, so commercial research, expert interviews and market testing only ever reach technologies that have already survived a cut.

EVIDENCE-LED RANKING

Inventor surveys close the gaps no database covers, while external market evidence decides the score.

HONEST TIES

Where two technologies rank level the model says so rather than inventing a difference, marking the point where the decision moves from evidence to strategy.

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