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Enabling Operational Capability Intelligence

Enabling Operational Capability Intelligence

Headai has come a long way together with Metropolitan Universities of Applied Sciences in building skills-data-driven solutions to help students and educational planning. CareerBot is an artificial intelligence powered platform that helps students with their journey towards their dream career. It enables students to take a skills-driven approach in finding their personal studying paths, and ultimately, to optimize their job market fit. CareerBot is an ongoing collaboration between 3AMK and Headai and its mission is to give AI-powered guidance to the choices students make for their future.nnThe initial model was based around Headai’s earlier Microcompetencies and has undergone several iterations. It has now evolved into a much more diverse tool, utilising a number of Headai’s solutions (Snapshots, Scorecards, Compass and Signals).n

 

“CareerBot is a good example of how Headai AI services can provide modern solutions in a variety of industrial sectors, particularly in the education sector. As a CareerBot developer, we are receiving very good feedback and I am glad that other education institutions are showing their interest in joining CareerBot.”– Hussain Ahmed (Software Developer, Headai)

 

CareerBot helps students to:

  1. Verbalize their skills and competencies into a skills profile

  2. Find their dream jobs with their skills profiles

  3. Find courses for the skills they are missing

  4. Visualize their skills profiles into semantic maps

  5. Explore for thesis trends and search for related theses to inspire their thesis topics or written assignments


 

 

CareerBot reveals trends in the keywords of already done theses. Students receive valuable information to plan their own theses.

 

“With the help of CareerBot, students get valuable insights into professional expectations in their field. Student is able to mirror their own competencies to what is needed in the market. In turn, this allows the student to identify and to better understand what kinds of competencies they are lacking and what they should acquire in their time as a student. Therefore, CareerBot also gives support to the student’s future studies.”– Sanna Penttinen, Laurea Career Servicesn

 

CareerBot lets students to compare their skills with local jobs’ skill requirements. 3AMK – Metropolitan Universities of Applied SciencesHigher EducationAI-powered platform for students How to find optimal studying path toward high job market fitSkills-driven approach in guiding personal studying pathsData-driven support for students’s skills planning

 

3 AMK – Metropolitan Universities of Applied Sciencesn3AMK is an alliance between the three largest universities of applied sciences’ Haaga-Helia, Laurea and Metropolia. It offers different kinds of courses made in co-operation to all the students in the 3AMK universities.nn

 

About Heada

nHeadai is a Finnish technology company developing a cognitive AI engine powering economic growth. We help organizations succeed in a rapidly changing future by helping them find answers in large amounts of data that they can’t otherwise see.nnOur algorithms enable seeing the big picture in scattered data by revealing unknown connections and even explaining why they exist.nnOur technology is 100% Headai IP, based on over 20 years of experience in the cognitive and computational sciences.nnnnFollow HeadaiJoin our newsletter

Build curricula for what comes next

Build curricula for what comes next

Use skills data to understand changing labour-market needs and keep education aligned with the skills that matter.

Use skills data to understand changing labour-market needs and keep education aligned with the skills that matter.

Understand local skills demand

Understand local skills demand

Identify emerging skills gaps

Identify emerging skills gaps

Compare education with labour-market needs

Compare education with labour-market needs

Track how skills needs change over time

Track how skills needs change over time

Helping YTK members find work that matches their real skills

Job seekers couldn’t see which of their skills mattered, or which jobs actually fit. Headai built a skills-based recommendation engine, now live in production with 1,500+ monthly users and growing.

Job seekers couldn’t see which of their skills mattered, or which jobs actually fit. Headai built a skills-based recommendation engine, now live in production with 1,500+ monthly users and growing.

Turning fragmented skills data into shared decisions with LEADSx2030

Europe’s skills demand, education provision and technology signals were fragmented. LEADSx2030 now connects the evidence in one public Observatory, helping users compare demand and supply and identify where to act.

Europe’s skills demand, education provision and technology signals were fragmented. LEADSx2030 now connects the evidence in one public Observatory, helping users compare demand and supply and identify where to act.

Seeing what's actually happening in an industry, before it shows up in official statistics

Official statistics show what already happened. Headai's Growth Agents track 20 technology areas in real time, using one unified data language so frontier AI can analyze industry signals without hallucinating, and trace every insight back to its source.

Official statistics show what already happened. Headai's Growth Agents track 20 technology areas in real time, using one unified data language so frontier AI can analyze industry signals without hallucinating, and trace every insight back to its source.

Turning clinical notes into explainable ICF and ICD codes

Most patient record data is free text, hard to compare or analyse at scale. Headai's Health Coder turns clinical notes into ICF and ICD codes, each traced to the passage it came from. Validated in two peer-reviewed studies in 2025.

Most patient record data is free text, hard to compare or analyse at scale. Headai's Health Coder turns clinical notes into ICF and ICD codes, each traced to the passage it came from. Validated in two peer-reviewed studies in 2025.

Consistent where generative AI is not: keywording 5,585 project applications

Rural development applications were keyworded by hand, unevenly. Headai structured 5,585 applications against an 84-term ontology, raising the average from 3.9 to 4.9 keywords per application and suggesting useful new themes for 99.5% of them.

Rural development applications were keyworded by hand, unevenly. Headai structured 5,585 applications against an 84-term ontology, raising the average from 3.9 to 4.9 keywords per application and suggesting useful new themes for 99.5% of them.

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Ask questions across your organisation’s information without query languages or specialist tools.