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Hiasynth

Hiasynth provides a synthetic, 1:1 scale model of Europe's population, designed to be queried by AI for market analysis. The model contains half a billion personas across 37 countries, each with over 600 attributes that co-vary realistically, enabling companies to analyze any consumer market without traditional research. It is accessible via the Model Context Protocol (MCP), allowing AI assistants to directly query the data.

Stockholm, Sweden · HQ
Founded 2025450+ followers
Updated 6 days ago

Funding

Funding not disclosed

FT

Founders

Founder details are not available yet.

Product

Problem

Market intelligence in Europe is fragmented and expensive, requiring companies to commission separate research projects for each country due to differences in language, consumption patterns, and data availability. This makes cross-border market analysis costly and slow, particularly for smaller companies that cannot afford enterprise-grade research services.

Solution

Hiasynth offers a synthetic population model of Europe that is structured and queryable by AI systems. The model represents half a billion personas across 37 countries, each with over 600 attributes that co-vary realistically, including income, housing, consumption habits, and values. By mapping 3.7 million micro-zones and placing each persona within a household, Hiasynth ensures that consumption patterns reflect real-world correlations. The platform is accessible via the Model Context Protocol (MCP), allowing AI assistants like Claude and ChatGPT to query the data directly, providing statistically grounded market intelligence on demand.

Target Audience

Primary customers are companies of all sizes that need to analyze consumer markets across Europe, including startups, scale-ups, and enterprises seeking cost-effective, AI-driven market intelligence without commissioning traditional research.

Features

  • Synthetic population model with 500 million personas across 37 European countries
  • Over 600 attributes per persona, including income, housing, consumption, habits, and values
  • 3.7 million micro-zones mapped to households for realistic consumption pattern correlation
  • Structured, queryable data designed for machine reasoning and AI integration
  • Accessible via MCP (Model Context Protocol) for direct querying by AI assistants
  • Projections of future market conditions based on fertility, income trajectories, migration, and household formation
This profile is AI-generated and may contain inaccuracies.