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%

of the portfolio de-prioritised before spend

72

patents assessed against a single standard

Portfolio assessed72 patents screened, 24 fully assessed, all 24 ranked

Assessment standardone 7-criterion weighted model, applied across 15 industries

Evidence per technologyfour commercial databases, inventor surveys and expert interviews

Shortlisttop 4, weighted scores 3.2–3.7 out of 5

Commercialisation planmarket validation, market testing and a roadmap for the top 4

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 a technology and patent assessment methodology against the university's specific criteria
Ran a prioritisation workshop with the university's team across the full bank of 72
Scored each technology 0–3 on market opportunity, market traction and degree of commercialisation to date
Tagged every patent to an industry, identifying 15 distinct fields in the portfolio
Cut the list to the 36 worth researching properly

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 cycle

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 structured 10-question survey to patent owners covering purpose, differentiation, applications, users, beneficiaries, cost to build and comparative advantage
Ran interviews with inventors and technology experts to pressure-test the use cases
Researched each technology across four commercial databases for market size, growth, competitors, funding and comparable patents
Established total addressable market and CAGR reads per technology
Took stakeholder interest into account, narrowing the list to the 24 the university wanted 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 taken 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: total addressable market, CAGR, funding traction, market readiness, market maturity, unique selling proposition and market entry effort
Scored each criterion 1–5 against fixed, published bands rather than judgement calls
Weighted total addressable market and market entry effort most heavily, at 20% each
Produced a weighted score and a written rationale per technology
Ranked all 24 into 19 positions, with ties recorded rather than broken arbitrarily

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 the university could defend, each traceable to its score and its 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

Took the top four technologies into market validation against their identified use cases
Ran market testing to establish real demand rather than stated interest
Confirmed positioning against the alternatives already available in each market
Opened commercialisation-partner outreach in parallel, taking specific technologies to named industry operators for a read on manufacturability and licensing appetite
Wrote up each of the four as its own standalone final report, with the portfolio-level outcome set out alongside them

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 taken forward with a market-validated commercialisation case

What it proved

Seventy-two patents entered the assessment. One prioritisation workshop cut the list to 36 on three fast criteria. Structured inventor surveys, expert interviews and research across four commercial databases cut it to 24, and 168 criterion-level scores ranked those 24 into 19 positions. Four technologies separated at the top with weighted scores of 3.2 to 3.7 out of 5, and went forward to market validation, market testing and a commercialisation roadmap.

The university ended with a defensible answer to the only question that matters at portfolio level: where the first commercialisation dollar goes. Ninety-four per cent of the portfolio was set aside before it could absorb validation budget, and every one of those decisions carries its own score, band and rationale, so a call can be re-opened later without being re-run from scratch. The scoring model outlived the project. It applies to any new disclosure the university files, which is what turns a one-off portfolio review into a standing triage capability. Within weeks of delivery the university's investment sponsor introduced the method to a second institution in the same city that wanted to run the same exercise on its own portfolio.

Results

MetricBenchmarkResultImprovement

Patents ranked on a common standard

Benchmark: 0 of 72 before the engagementResult: 72 screened, 24 fully ranked

full portfolio coverage

Portfolio narrowed to a fundable shortlist

Benchmark: 72 candidatesResult: 4

18× narrower

Decision criteria per technology

Benchmark: 3 unweighted criteria at first screenResult: 7 weighted criteria at final assessment

2.3× more criteria

Portfolio de-prioritised before validation spend

Benchmark: 0%Result: 94%

validation budget concentrated on the top 4

Evidence base per finalist

Benchmark: inventor claimResult: 4 commercial 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.

Recent case studies

See more proof

From days of invention assessment to decision-ready reviews in hours

Client

Leading US research university TTO

Date

08/2026

50%+

less time to complete an invention assessment

Matter More

Let's Talk