Research
Research that feeds the build.
We write up the problems we are studying, the assumptions we are testing, and where we think the technology is going. It is written for people who have to build or fund something similar, so we have tried to keep it useful rather than promotional.
What we look at
Three threads run through all of it.
How markets are put together
Where reliable data actually lives in a fragmented market, and where better software genuinely reduces the cost of searching and comparing.
Applied AI
How machine learning, language models, classification and retrieval hold up when you point them at real analysis, matching and modelling work.
Financial modelling
How assumptions, scenarios and market signals can be structured into models that explain themselves rather than just producing a number.
Published papers
The library.
These papers are market and product research. They are not investment advice, fundraising advice, or a recommendation about any company or transaction.
Questions about any of it?
We are always happy to talk through the methodology, argue about an assumption, or tell you where we think we got something wrong.