For venture studios
Every venture starts its technology from scratch, and the standard drifts.
A studio's second venture rarely inherits the first one's technical judgment. Each team starts from whoever happens to be in the room, and the standard drifts venture by venture until diligence finds it.
I work with the studio rather than with one venture: the standard a venture meets before it leaves, how AI-assisted engineering is governed across several teams at once, and where judgment has to stay human when everything else gets cheaper.
Where this usually starts
- 01Ventures leave the studio at inconsistent technical quality.
- 02AI-assisted engineering is in use across teams and nobody governs it.
- 03Every venture re-decides questions the studio should have answered once.
- 04A venture studio wants every venture held to one technical standard, not judged case by case.
- 05A corporate or government venture-building programme needs ventures that survive diligence, not just demo days.
- 06The studio is raising, and its portfolio's technology will be examined.
Three ways in
AI-Native Venture Building
The standard a venture meets before it leaves, governing AI-assisted engineering across several teams, and the first ninety days of a new venture's technology.
See how this worksPortfolio technical standard
One technical standard across the portfolio, every venture scored against it, and a 90-day plan to close the gaps before diligence finds them.
See how this worksAI Due Diligence
Whether a venture's AI is in the product or in the pitch, applied before a spin-out meets outside investors rather than after.
See how this worksWorth reading first
Bring me the standard you want every venture held to.
Whether it is the next venture or the whole portfolio, the first step is a clear conversation about what the studio wants to be true of every company it builds.
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