Theia Insights, a Cambridge-based DeepTech startup whose technology is used by global index providers, asset managers, hedge funds and banks, has raised £6 million in Series A funding led by MiddleGame Ventures, with participation from Further Ventures and Unusual Ventures. The funding brings total funding to £11 million to date.
It was built on the premise that financial markets cannot allocate capital well if they cannot first see the economy clearly. Financial markets rely on static classification systems that assign each company a single industry label, which remains unchanged even as companies expand across multiple industries. Theia Insights addresses this by reading regulatory filings, earnings transcripts, press releases and financial data to build a continuously updated, multidimensional picture of what companies do. Instead of a single label, companies are assigned weighted exposure across multiple sectors that update automatically as new information emerges.
Its products include a Dynamic Industry Classification system, Concept2Universe, Thematic Factor Models and Theme Watch Indices, which are used to support research, portfolio construction, analytics and trading workflows. The technology has been used to track developments such as space exploration expanding into a broader ecosystem and the spread of weight-loss drug exposure into adjacent sectors.
Theia Insights states that commercial exposure to AI across public equities expanded from 63 companies in 2013 to more than 2,900 in 2025. The Series A funding will be used to expand into new asset classes, beginning with private markets, as well as to deepen research and engineering capabilities and scale global commercial presence.
Founder and CEO Ye Tian holds a PhD in computational linguistics and previously worked on large-scale language and AI systems at Amazon. Isami Ito, President and Chief Revenue Officer, previously held roles at IHS Markit, GLG, Unqork and Digital Asset. CTO James Thorne holds a PhD in computer science from Cambridge and was previously at Amazon and Meta, and a professor of AI at KAIST.
