Hiasynth Raises Funding for Synthetic Market Data
Hiasynth raised angel funding to build a queryable synthetic model of Europe’s population.
Market research is getting an AI-native rethink. Hiasynth is building a synthetic population model that could let companies test questions against simulated personas before running slower real-world research.
What happened
Hiasynth raised angel funding led by Further Than Capital to develop a synthetic model of Europe’s population at 1:1 scale. The model is described as covering roughly half a billion personas across 37 countries and more than 600 attributes.
The company plans to make the product available through MCP, allowing users and software agents to query the synthetic population model directly.
Why it matters
Companies spend heavily on surveys, panels and consumer research, but those methods can be slow, expensive and narrow. Synthetic personas could provide faster directional insight for product testing, messaging, pricing and market analysis.
The risk is accuracy. A synthetic model is only useful if it reflects real populations well enough and does not create false confidence from simulated data.
The bigger picture
AI is turning research workflows into software primitives. Instead of waiting weeks for survey responses, teams may increasingly ask models to simulate demand, sentiment or customer behaviour. Hiasynth is early, but it shows how market intelligence could become more interactive and agent-accessible.