Report · October 2026
One Step Away
How a forward-looking reading of 54,914 UK firms sorts them into ready now, one step away and not yet, and what a yes-or-no view leaves out.
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Decision Intelligence Register · Issue #005 · July 2026
The Miscounted 3%
The 3% figure is accurate. It is not diagnostic.
Female-only founding teams receive about 2 to 3% of venture capital, and the figure has barely moved in three decades. This paper recalculates it five times, each time moving the denominator closer to the firms actually affected, and adds original evidence from Gifftid’s R³ reading of 81 women-led UK SMEs. The gap doesn’t shrink as the analysis gets more precise. It changes shape.
Directed by Grace Almendras Castillo, Founder and CEO, Gifftid
2p
of every £1 of UK venture capital went to female-founded businesses in 2024, down from 2.5p in 2023.
British Business Bank / IWC Annual Report 202546%
of companies seeking angel and early-stage funding in 2023 were women-owned, up from 5% in 2004.
Angel Capital Association, 2024. Angel-stage pipeline only.81.5%
of a hand-picked cohort of 81 women-led UK SMEs were assessed Tier A, the highest readiness, on forward-looking evidence.
Gifftid R³, May 2026. Illustrative, not population-representative.Five recalibrations
The gap doesn’t shrink. It changes shape.
Each step moves the denominator closer to the firms actually affected by the gap.
- Step 1
The headline figure
Female-only teams receive 2 to 3% of venture capital. In the UK, 2p in every £1.
- Step 2
Control for sector
Sector mix is real but partial. In EdTech, women found 34.7% of companies and receive 21.5% of funding: a within-sector ratio of 0.62.
- Step 3
Adjust for intent
Getting into the room is largely solved. What isn’t: women receive about 25% of the funding they seek, against about 50% for men.
- Step 4
Separate venture type
For many mission-led, capital-efficient ventures, venture capital is the wrong instrument. A design mismatch, not a bias finding.
- Step 5
Read the evidence
81.5% of 81 women-led UK SMEs assessed Tier A on forward-looking evidence. Visible throughout, and still misread.
Three problems, three responses
One number hides three different problems.
Treated as a single gap, each gets the wrong fix. Taken apart, each points to a different response, and different people to act on it.
Instrument mismatch
What it is
Venture capital doesn’t fit mission-aligned, capital-efficient businesses.
What would help
New instruments: revenue-based finance, procurement-linked capital, patient capital.
Constrained access
What it is
Gaps in wealth and first-cheque networks keep firms out before quality is ever assessed.
What would help
First-cheque programmes, structured angel networks, accelerator access.
Evaluation bias
What it is
Cheque sizes shrink within the same sector and stage.
What would help
Blind evaluation, structured criteria, and objective evidence frameworks.
Founder statement
“I am a data point in this study.”
Grace Almendras Castillo directed the research from inside the cohort it describes. She designed it without sentiment or advocacy: facts, not a case for herself or for founders like her.
The founder statement in the paper sets out her own funding history, point by point, against the patterns the data shows.
What’s inside
56 pages, ten sections.
Page numbers refer to the PDF.
- ·Executive summary4
- ·Founder statement: I am a data point in this study6
- 1Research questions and analytical directions11
- 2Analytical methodology14
- 3Sector-controlled analysis18
- 4Intent-adjusted pipeline analysis23
- 5Venture type and causal decomposition26
- 6Gifftid R³ analysis: women-led UK SMEs30
- 7Synthesis: five recalibrations, three findings35
- 8Key learnings, insights and implications38
- 9Limitations and research agenda48
- 10References52
Method and limits
What the evidence can and can’t carry.
Sources
External figures come from the British Business Bank, Beauhurst, the Investing in Women Code, PitchBook, Harvard Kennedy School, BCG and MassChallenge, Carta, the Federal Reserve and others, each cited with its scope.
The R³ cohort
81 women-led UK SMEs, drawn from women’s business networks and deliberately including founders who were funded and founders who were not. Each was assessed without reference to its funding history.
Limits
The 81.5% finding holds for this cohort only; it isn’t a claim about all women-led SMEs. Within-sector ratios beyond EdTech are estimated. The paper shows three causes are present but can’t size each one.
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All 56 pages, with the five recalibrations, the R³ cohort analysis, implications for funders, educators and policy, and the full references.
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