Hiasynth raises angel funding to build a queryable synthetic model of Europe’s population

Hiasynth has pulled in an angel round led by Further Than Capital, with three other angels joining in. The money is going into launch and product development before a planned seed round.

The company’s pitch is unusual even by AI standards: a synthetic model of Europe’s population built at 1:1 scale and meant to be queried by AI. Hiasynth says it holds half a billion personas across 37 countries, each with more than 600 attributes that move together the way they do in real life. The data is synthetic, but the goal is to make it feel operationally real enough for companies to analyse consumer markets across the continent.

Founder Emma Agering says the model was built by mapping 3.7 million micro-zones, then creating households and placing every persona inside one. That matters because, in her view, where people live shapes consumption as much as who they are. In other words: geography, housing, habits, income and values are not separate buckets here. They are the point.

That framing also explains the company’s bigger claim. Europe has long behaved like a set of separate markets, not one neat bloc, and Hiasynth wants to collapse the research burden that comes with that. Agering argues that market intelligence has been priced like an enterprise luxury, and that one model could replace 37 research projects. The pitch is aimed squarely at the smaller company that cannot afford to study every country the old way.

Hiasynth is set to launch in September 2026 at Bits & Pretzels in Munich, and it will be available through MCP, the Model Context Protocol. That matters because MCP lets assistants such as Claude and ChatGPT query external tools and data directly. Further Than Capital’s Stefan Lindeberg says the core problem is that language models can sound confident about a market without knowing if they’re right, and that Hiasynth is meant to replace the guess with something a model can actually reason over.