Hiasynth
Hiasynth provides a statistically grounded, queryable population model of Europe containing 541 million synthetic personas across 44 countries, each with 700 co-varying attributes. The model connects to AI assistants like Claude and ChatGPT via MCP, allowing users to ask plain-language market questions and receive calibrated counts and profiles rather than estimates. The platform also projects markets forward using fertility, income trajectories, migration, and household formation data.
- Data & Analytics
- Artificial Intelligence
- Software Only
- AI Agents
Funding
Funding not disclosed
across 1 round
Founders
Founder details are not available yet.
Product
Problem
Traditional market intelligence across Europe requires commissioning separate research projects for each country, making cross-border analysis expensive, slow, and inconsistent. AI assistants can generate plausible-sounding market answers, but they lack a factual foundation, leaving companies unable to trust or act on the output.
Solution
Hiasynth offers a structured, queryable population model of Europe built at 1:1 scale, containing 541 million synthetic personas across 44 country builds. Each persona is statistically calibrated to official data with ~700 co-varying attributes—income, housing, consumption, habits, and values—so market analysis reflects how people actually think and choose. The model is accessible through MCP (Model Context Protocol), allowing users to connect it to AI assistants like Claude, ChatGPT, or Claude Code and ask questions in plain language. The assistant translates queries into tool calls, runs them against the population model, and returns real counts, shares, profiles, and composite personas rather than estimates. The platform also projects markets forward using fertility, income trajectories, migration patterns, and household formation, enabling both current and future-state analysis.
Target Audience
Primary customers are companies, market analysts, and product teams needing cross-European consumer market intelligence, as well as investors and developers building on top of demographic data layers for AI-driven applications.
Features
- 541 million synthetic personas at 1:1 scale, each with ~700 co-varying attributes including income, housing, consumption, habits, and values
- 44 country builds unified into a single queryable population, with 3.7 million micro-zones and household-level placement for realistic consumption patterns
- 1 km² spatial resolution enabling hyper-local market analysis across any European region
- MCP server integration (https://mcp.hiasynth.co) compatible with Claude, ChatGPT, Claude Code, and any MCP client, requiring no code or installation
- Plain-language querying where the AI assistant handles tool selection and reasoning, returning statistically calibrated aggregates
- Forward-projection capabilities incorporating fertility, income trajectories, migration, and household formation for future market scenarios
- Fully synthetic data with no traceable connection to real individuals, ensuring privacy-safe usage