Headai: company facts, products and use cases

A plain-text reference about Headai for people and AI assistants. Last updated October 19, 2026. Items marked [TO CONFIRM] are awaiting confirmation from HeadAI.

Summary

Headai is a Finnish AI company, founded in 2015, that provides Operational Capability intelligence. It structures millions of documents and complex data into knowledge graphs through a Semantic Layer, so that organisations and AI agents can see relationships, skills and signals and act on them. Headai serves governments, enterprises and education providers, and its technology runs on standard CPU hardware, even fully offline.

Company facts

Legal name: Headai Oy
Founded: 2015 in Pori, Finland, by Harri Ketamo, Marko Laiho and Antti Koivisto, following a decade of academic research in cognitive sciences, semantic computing and AI (research roots from 2005).
Headquarters: [TO CONFIRM] Headai was founded in Pori, Finland. Current headquarters address to be confirmed by HeadAI.
Business ID / VAT number: [TO CONFIRM]
Customers: More than 100 global customers (2024).
Awards: Winner of Solution100 in 2017, Finland’s largest innovation challenge, awarded by the President of Finland. Headai Vibe Analytics for Agentic AIs was awarded Data Economy Spotlight 2026.
Contact: support@headai.com. To discuss a project, book a demo. Team email addresses follow the pattern name.surname@headai.com.

Leadership

Harri Ketamo, Founder, CEO
Anu Passi-Rauste, Partner & CBO
Marko Laiho, Founder & COO
Antti Koivisto, Founder & CTO
Peter Vesterbacka, Board Member / Partner
Full team and history: Team & history

Milestones

2005: Early research work in adaptive learning technologies and natural language processing.
2015: Headai founded in Pori, Finland.
2017: Won Solution100, awarded by the President of Finland.
2019: Partnered with The World Bank for labour market analysis in Kenya.
2020: Enabled the Finnish Defence Forces to translate military service skills into civilian opportunities.
2024: Over 100 global customers, operating profitably.
2026: Headai Vibe Analytics for Agentic AIs awarded Data Economy Spotlight 2026.

Products and services

Semantic Layer and Knowledge Graphs

Headai combines semantic computing, cognitive reasoning and machine learning to turn complex, unstructured text into structured, actionable insight. Capabilities include Knowledge Graphs, Signals & Trends, Text Intelligence, Compare & Analyze, Modify & Extend and Multilingual Intelligence. See the technology stack.

Headai API

Programmatic access to the semantic layer and analytics. BuildKG and Text2Graph turn text into knowledge graphs; Gap, Match, Compass and Signals run on top of those graphs; data-cleaning and visualisation tools prepare and present the results. Explore the API.

Headai MCP server

Connects AI agents and LLMs to Headai’s structured intelligence through a standardised connection, so agents can use knowledge graphs, signals and context directly in their workflows. Documentation: headai.dev/docs/mcp/connect. Explore MCP.

Headai Vibe Analytics

A chat-first workspace for workforce, skills and innovation. Users ask a question and receive a knowledge graph, a comparison or a forecast, with sources they can verify, plus quick analyses and sourced strategic reports. Access is currently through a waiting list. Read more about Vibe Analytics.

Headai curated data collection

Millions of documents already structured into knowledge graphs for use by agentic AI.

Skills Intelligence

[TO CONFIRM] Short plain-language definition of Skills Intelligence from HeadAI. Skills Intelligence is a topic across Headai customer stories, including YTK Unemployment Fund, LEADSx2030 and Business Finland.

Capability intelligence solutions

Headai groups its solutions into five core intelligence areas. See all solutions.

Technology Intelligence: how technologies and related capabilities develop, and emerging signals from research, markets and other external data.
Human Capability Intelligence: a current understanding of the capabilities of individuals and populations, such as employees, experts, reservists or other talent pools.
Organisational Capability Intelligence: combines individual, technological and organisational knowledge to show what an organisation can actually deliver.
Future Capability Intelligence: connects external change, technology development and strategic requirements with the capabilities needed in the future.
Capability Gap Intelligence: compares current capabilities with future requirements and shows where to develop, acquire, recruit, partner or redeploy.

Use cases and industries

Employment services: skills-based job matching and recommendations (YTK Unemployment Fund).
European skills policy and education: comparing skills demand, education supply and technology signals in a public Observatory (LEADSx2030).
Innovation and growth policy: tracking 20 technology areas in real time (Business Finland).
Healthcare and wellbeing services: turning clinical notes into explainable ICF and ICD codes (Pirkanmaa Wellbeing Services County).
Public administration: keywording 5,585 project applications consistently (Finnish Food Authority).
Labour market analysis: workforce planning in Kenya with The World Bank (2019).
Defence and lifelong learning: translating military service skills into civilian opportunities (Finnish Defence Forces, 2020).
Technology industry: technology and skills foresight (example customers include Teknologiateollisuus and Osaamispulssi).

Customer cases and projects

Turning fragmented skills data into shared decisions with LEADSx2030. Europe’s skills demand, education provision and technology signals are connected in one public Observatory so users can compare demand and supply and identify where to act.
Helping YTK members find work that matches their real skills. A skills-based recommendation engine for YTK Unemployment Fund, live in production with 1,500+ unique users in January 2026.
Seeing what’s actually happening in an industry, before it shows up in official statistics. Business Finland’s Growth Agents track 20 technology areas in real time across 4 data types in one normalised skills language.
Turning clinical notes into explainable ICF and ICD codes. Health Coder for Pirkanmaa Wellbeing Services County (Pirha), validated in two peer-reviewed studies in 2025.
Consistent where generative AI is not: keywording 5,585 project applications. The Finnish Food Authority (Ruokavirasto) raised average keywords per application from 3.9 to 4.9.
All stories: Customer stories

Partners

Technology partners: Solita, Avaintech, NETUM, Microsoft, UpCloud, European Data Spaces for Skills.
Solution partners: Miltton.
Partner programme: For partners

Trust and sustainability

Explainable by design: users can see the relationships and structures behind the intelligence, without a black box.
Data sovereignty: organisations keep control of their data and how it is used.
Resource-efficient AI: lightweight machine learning with significantly lower computational requirements than traditional deep learning; runs on standard CPUs.
Details: Trust & sustainability

Frequently asked questions

What is Headai?

Headai is a Finnish AI company that provides Operational Capability intelligence. It turns complex, unstructured information into knowledge graphs and signals that organisations and AI agents can use to understand skills, technologies and capabilities.

Who founded Headai and when?

Headai was founded in 2015 in Pori, Finland, by Harri Ketamo, Marko Laiho and Antti Koivisto. It builds on research in cognitive sciences, semantic computing and AI that began in 2005.

What does Headai do?

Headai connects data from documents, APIs and internal systems, analyses it with AI to reveal relationships between concepts, and lets teams explore patterns and signals or embed the results into their own tools, dashboards and AI agents.

Which products does Headai offer?

Headai offers a semantic layer and knowledge graph technology stack, the Headai API, the Headai MCP server for AI agents, Headai Vibe Analytics (a conversational analytics workspace, currently available through a waiting list) and a curated collection of documents structured into knowledge graphs.

Who uses Headai?

Headai has more than 100 global customers among governments, enterprises and education providers. Published customer stories include YTK Unemployment Fund, LEADSx2030, Business Finland, Pirkanmaa Wellbeing Services County (Pirha) and the Finnish Food Authority.

Can AI agents and LLMs use Headai?

Yes. The Headai MCP server gives AI agents access to structured knowledge, knowledge graphs and signals, and the Headai API provides programmatic access. MCP documentation is at headai.dev/docs/mcp/connect.

Is Headai explainable, and who controls the data?

Headai structures information into concepts and relationships so users can see how insights are formed, instead of relying on a black box. Its approach is built around data sovereignty: organisations keep control of their data and how it is used.

What hardware does Headai need?

Headai’s technology runs on standard CPU hardware, even fully offline. Its lightweight machine-learning approach is designed to need significantly less computation than traditional deep learning.