Thema builds market intelligence for private equity from crawled web data – hundreds of terabytes of it – algorithmically discovering market segments and competitive relationships rather than reading them off an existing taxonomy. Three modules use it: Portfolio Risk spots disruption across holdings, Platform Expansion finds adjacent growth paths, and Market Origination surfaces new platforms and buy-and-build targets. The workflow runs from defining a question through mapping structure, exploring paths and pressure-testing strategy to producing views.
Discovering the segmentation instead of inheriting it is the whole argument. Standard industry classifications were designed for statistical reporting and lag the market by years, so a fund using them is looking at a map of an economy that no longer exists – which is why the interesting adjacency is always the one that does not have a SIC code yet.
Thema AI Limited is registered in England and Wales, based in London, and recently raised $6.2 million. It offers per-project and platform pricing with no figures published. A market map inferred from web presence over-weights companies that market themselves loudly, an algorithmically discovered segment still needs a human to decide whether it is a real market, and per-project pricing makes the cost of exploratory work impossible to predict.
