The AI-Mind project
The AI-Mind project is a European Horizon 2020 research consortium that developed and clinically validated two AI-based digital tools—the Connector and the Predictor—for early dementia risk assessment in patients with Mild Cognitive Impairment, serving healthcare professionals across Norway, Finland, Italy, and Spain.
- Company typePrivate
- Founded2021
- HeadquartersOslo, Norway
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What The AI-Mind project does
The AI-Mind project (legal name: AI-Mind – Artificial Intelligence for Dementia Prevention) is a European research consortium that developed and clinically validated two AI-based digital tools for early dementia risk assessment in people with Mild Cognitive Impairment (MCI). Coordinated by Dr. Ira Haraldsen at Oslo University Hospital, the project ran from March 2021 to February 2026 under Horizon 2020 Grant Agreement No 964220 with an allocated budget of approximately €14 million. It assembled 17 partners across 8 European countries, including leading hospitals (Oslo University Hospital, Helsinki University Hospital, IRCCS San Raffaele Roma), research universities (Complutense University of Madrid, Università Cattolica del Sacro Cuore, Aalto University, University of Oslo), SMEs (BrainSymph AS, Neuroconnect Srl, Lurtis Rules, Pre Diagnostics, accelopment Schweiz AG), patient advocacy (Alzheimer Europe), and industry (Roche for blood biomarker cross-validation).
The technical core of the project is two complementary AI tools. The AI-Mind Connector processes EEG (and related MEG) brain imaging data to evaluate and visualise interactions between brain areas, identifying early disturbances in functional brain networks. The AI-Mind Predictor combines Connector outputs with cognitive test results and blood biomarker analysis to produce individual dementia risk predictions with reported accuracy above 95%, using probabilistic machine learning and deep learning approaches. Both tools are integrated into a cloud-based diagnostic support platform administered via the University of Oslo's Services for Sensitive Data (TSD) infrastructure, designed for intuitive use by healthcare professionals, and are positioned for integration into the EBRAINS research infrastructure. The AI models were trained and validated on a multinational clinical dataset of more than 1,000 MCI participants recruited across Norway, Finland, Italy, and Spain.
AI-Mind is not a commercial company and operates no pricing or revenue model. Its sole funding source was the EU Horizon 2020 grant, and it has no paying customers; clinical study participation was free to enrolled patients. Go-to-market is event- and dissemination-driven rather than commercial: the consortium engaged healthcare professionals, policymakers, and patient organisations through conferences (Alzheimer Europe, CTAD, NeurIPS), webinars, multilingual newsletters, policy briefs (including a launch at the European Parliament), and the AI-Mind Share knowledge hub. The project received the first-ever Award for Excellence in Clinical Trials ('Innovative Environment of the Year') from the Norwegian Pharmaceutical Industry Association in early 2026. Operating status is reported as closed following the formal project end in February 2026, with tools transitioning to EBRAINS for downstream research and potential clinical adoption.
The AI-Mind project firmographics
Firmographics- Name
- The AI-Mind project
- Legal name
- AI-Mind (Artificial Intelligence for Dementia Prevention)
- Website
- https://ai-mind.eu
- Company type
- Private
- Founded year
- 2021
- Operating status
- Closed
- Headcount range
- 11–50 employees
- Short description
- The AI-Mind project is a European Horizon 2020 research consortium that developed and clinically validated two AI-based digital tools—the Connector and the Predictor—for early dementia risk assessment in patients with Mild Cognitive Impairment, serving healthcare professionals across Norway, Finland, Italy, and Spain.
- Ownership category
- akta.pro rank
The AI-Mind project industry classification
Industry- Product category
- AI-based Clinical Decision Support for Neurology
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Medical Imaging AI (HDAAAEAH)
- akta.pro secondary industry
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)
Keywords
Where The AI-Mind project is headquartered
LocationHeadquarters
- HQ city
- Oslo
- HQ country
- Norway
- HQ region
- Europe
Offices5 records
Markets served
The AI-Mind project business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Revenue model
- Horizon 2020 Research Funding: The AI-Mind project is a Research and Innovation Action (RIA) funded by the European Union's Horizon 2020 research and innovation programme under grant agreement No 964220, with a budget of approximately 14 million euros over five years (2021-2026). The project concluded at the end of February 2026.
- Non-commercial Research Output: The project developed AI tools for clinical use without commercial revenue generation. The tools aim to enable early dementia risk assessment in healthcare systems, with potential for future integration into clinical practice.
Go-to-market motion1 record
Distribution channels3 records
Marketing channels8 records
The AI-Mind project product offering
Product offeringCore offering
The AI-Mind project developed two AI-based digital tools — the AI-Mind Connector (analyses EEG data to evaluate functional brain connectivity) and the AI-Mind Predictor (combines brain connectivity, cognitive tests, and blood biomarker data to provide dementia risk prediction with greater than 95% accuracy) — integrated into a cloud-based diagnostic platform intended for use by healthcare professionals to identify people with Mild Cognitive Impairment at elevated risk of developing dementia.
Product overview
AI-Mind is a European research project developing two complementary AI-based digital tools integrated into a cloud-based diagnostic support platform. The AI-Mind Connector processes electroencephalography (EEG) brain imaging data to evaluate and visualise interactions between different brain areas, identifying early disturbances in functional brain networks. The AI-Mind Predictor combines data from the Connector with cognitive tests and blood biomarkers to provide dementia risk predictions with >95% accuracy for clinical decision-making. Both tools are integrated into a user-friendly cloud platform designed for health professionals to enable earlier and more precise dementia risk assessment for patients with Mild Cognitive Impairment (MCI).
Differentiator
Problem solved
Functional benefit
Brands
- AI-Mind Connector: An AI-based digital tool that evaluates and visualises interactions between different brain areas using EEG data, identifying early disturbances in the functional brain network as signs of cognitive changes that may develop into dementia.
- AI-Mind Predictor
- AI-Mind Share
Products and services
- AI-Mind Connector An AI-based digital tool fed with brain images from electroencephalography (EEG) data that evaluates and visualises interactions between different brain areas, identifying early disturbances in the functional brain network as the first signs of cognitive changes that may develop into dementia. Targeted at healthcare professionals for clinical decision support.
- AI-Mind Predictor An AI-powered tool that combines data from the AI-Mind Connector, cognitive tests, and blood analysis to provide accurate (>95%) prediction of dementia risk for clinical decision-making for people with Mild Cognitive Impairment. Targeted at healthcare professionals (neurologists, geriatricians, clinical researchers).
- AI-Mind Cloud-Based Diagnostic Platform A cloud-based diagnostic support platform that integrates the AI-Mind Connector and AI-Mind Predictor tools into an easy-to-implement service for health professionals, featuring a user-friendly design and intuitive software. Validated in clinical settings and administered by the University of Oslo Services for Sensitive Data (TSD) for secure data handling.
Quantifiable outcome
- Dementia risk prediction accuracy >95%
- +2 more outcomes
Companies that use The AI-Mind project
Customer profileNamed customers1 record
Segments3 records
Ideal customer profiles2 records
The AI-Mind project technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability4 records
Feature5 records
The AI-Mind project partnerships and signals
Strategic signalPartnerships
20 partnerships are on record, tiered core and supporting.
- Oslo University Hospital (OUS)coreLead coordinator of AI-Mind, responsible for overall coordination, communication and management of the project. The Cognitive Health Research group leads clinical trials and the Legal Department leads WP1 on legal and clinical guidelines.
- Helsinki University Hospital (HUS)coreThe largest hospital in the Nordic countries with 27,000 employees. Contributes to medical research and innovation strategies strengthening AI and digitalization in patient care and preventive medicine.
- IRCCS San Raffaele PisanacoreDevoted to guarantee excellent care in neurorehabilitation with a cutting-edge facility for translational research. Specializes in brain connectivity and cognitive decline assessment.
- Complutense University of Madrid (UCM)coreOne of the largest universities in Europe with research resources in neuroscience including the Laboratory of Cognitive and Computational Neuroscience (LNCyC) specializing in MEG, EEG, and DTI-MRI imaging.
- Università Cattolica del Sacro Cuore (UCSC)coreParticipates with Graduate School of Health Economics and Management (ALTEMS) and Memory Clinic handling over 4,000 outpatients yearly with cognitive disorders. Provides health technology assessment expertise.
- Tallinn University (TLU)supportingThird-largest university in Estonia with School of Digital Technologies conducting research in Digital Learning Ecosystems and Human-Computer Interaction.
- Aalto UniversitysupportingFinnish university committed to identifying grand societal challenges with strong technology and AI research capabilities.
- NordSTAR (Nordic Centre for Sustainable and Trustworthy AI Research)supportingCentre of research excellence at Oslo Metropolitan University focused on Sustainable and Trustworthy AI with five research groups including Explainable AI and Human factors in AI.
- Lurtis Rules S.L.supportingR&D-driven company based in Spain and UK committed to creating AI-driven solutions for engineering and science sectors, including early dementia prediction.
- BrainSymph ASsupportingMedical technology commercialization enterprise founded by neuroscience researchers from Oslo University Hospital, specializing in state-of-the-art EEG with focus on functional brain connectivity.
- Neuroconnect SrlsupportingSpin-off of Catholic University of the Sacred Heart of Rome, founded in 2018, focusing on brain connectivity and assessment of cognitive decline in MCI, Alzheimer and Stroke patients.
- Alzheimer Europe (AE)coreNon-governmental organisation with 39 member national Alzheimer associations in 35 countries. Provides ethical discussions, represents views of people with dementia, and supports communication to public and policymakers.
- accelopment Schweiz AGcoreSwiss SME assisting in EU project management and dissemination/exploitation of project results. ISO 9001 certified with over 25 years experience in Horizon 2020 projects.
- Radboud University Medical Center (RUMC)supportingAcademic hospital in Nijmegen, Netherlands, part of Dutch Federation for university medical centres, focused on innovative and sustainable healthcare development.
- Pre Diagnostics (PREDX)supportingNorwegian-based SME specializing in fluid dementia biomarkers, contributing blood analyses on samples from 1,000 study participants for AI model development.
- University of Oslo (UiO)coreNorway's highest-ranked university providing Services for Sensitive Data (TSD) for secure data handling. Administering the AI-Mind platform once deployed.
- RochecoreGlobal pioneer in pharmaceuticals and diagnostics providing blood biomarker analysis (NeuroToolKit assays including P-tau 181) supporting cross-validation of study samples.
- Human Brain ProjectsupportingEU flagship initiative aiming to understand the human brain and its diseases. Partnership supports AI tools development aligned with European Digital Health strategy.
- EBRAINSsupportingOpen research infrastructure gathering data, tools and computing facilities for brain-related research, built with interoperability at the core. AI-Mind tools being integrated into EBRAINS.
- HEALTH DATA CLOUDsupportingHorizon Europe project focusing on creating a decentralized, data protection-compliant research platform for brain health.
Scale indicators8 records
Recent moves5 records
Expansion highlights4 records
The AI-Mind project competitors and assessment
Company assessmentEmerging players
- Quanterix: Ultra-sensitive immunoassay platform for blood-based biomarkers of neurological disease including Alzheimer's. Comparable as an emerging diagnostic modality for early dementia detection, with a different technology (blood biomarkers vs EEG).
Broad incumbents
- Roche: Global pharmaceutical and diagnostics leader with established Elecsys blood-based Alzheimer's biomarker assays (pTau181) and a major AI-Mind consortium partner. Comparable as both a blood-biomarker competitor and a potential commercialization partner for AI-Mind.
- Biogen: Global biotechnology company with leading Alzheimer's therapies (Leqembi) and major interest in companion diagnostics. Comparable as a major incumbent in the Alzheimer's treatment paradigm that AI-Mind's diagnostic could feed into.
Direct peers
- C2N Diagnostics: US-based diagnostics company offering PrecivityAD, a blood-based test for Alzheimer's disease detection. Directly comparable as an early-detection dementia diagnostic and was named as a joint webinar partner with AI-Mind, indicating overlap in target clinical users.
- Altoida: Digital cognitive assessment platform using AI/ML on smartphone-based tasks to predict MCI-to-dementia conversion. Comparable in targeting the MCI-to-dementia prediction pathway with an AI/ML diagnostic, but uses digital cognitive markers rather than EEG/MEG.
- BrainCheck: Digital cognitive assessment platform for concussion and dementia screening, with FDA-cleared products. Comparable in providing clinician-facing cognitive assessment tools targeting early dementia detection.
- Icometrix: Belgian AI medical imaging company focused on brain MRI/CT analysis for neurological disorders including multiple sclerosis and dementia. Most directly comparable to AI-Mind in terms of applying AI to brain imaging for neurodegenerative disease diagnostics.
- Cambridge Cognition: UK neuroscience company providing digital cognitive assessment tools for clinical trials and healthcare. Comparable in providing cognitive testing infrastructure integrated into clinical workflows for early dementia detection.
- Ixico: AI-driven imaging analytics for neurological disorders including Alzheimer's disease, with established clinical trial and pharmaceutical partnerships. Comparable in applying AI to brain imaging for dementia clinical research and diagnostics.
- Linus Health: Boston-based digital health company applying AI to cognitive assessment for early detection of dementia and Alzheimer's. Directly comparable in serving the MCI screening use case with a clinician-facing diagnostic platform.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
The AI-Mind project social profiles
Digital presenceThe AI-Mind project compliance and trust
Trust signalCompliance1 record
The AI-Mind project financial estimates
Financial estimateRevenue estimate
Valuation estimate
The AI-Mind project leadership team
Management profileNumber of profiles
The AI-Mind project funding detail
Funding detailFunding overview
Funding rounds
Investors
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The AI-Mind project M&A and investment
M&A and investmentM&A
Investments
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Frequently asked questions about The AI-Mind project
What does The AI-Mind project do?
The AI-Mind project developed two AI-based digital tools — the AI-Mind Connector (analyses EEG data to evaluate functional brain connectivity) and the AI-Mind Predictor (combines brain connectivity, cognitive tests, and blood biomarker data to provide dementia risk prediction with greater than 95% accuracy) — integrated into a cloud-based diagnostic platform intended for use by healthcare professionals to identify people with Mild Cognitive Impairment at elevated risk of developing dementia.
Is The AI-Mind project a public or private company?
The AI-Mind project is a private company. It is classified as unknown and is currently closed.
When was The AI-Mind project founded?
The AI-Mind project was founded in 2021. It employs 11 to 50 people.
Where is The AI-Mind project based?
The AI-Mind project is headquartered in Oslo, Norway, in the Europe region.
How does The AI-Mind project make money?
Two revenue lines are on record. Horizon 2020 Research Funding is the primary driver. The others are non-commercial Research Output.
Who are The AI-Mind project's main competitors?
Quanterix is listed as an emerging player. Broad incumbents are Roche and Biogen. Direct peers are C2N Diagnostics, Altoida, BrainCheck, Icometrix, Cambridge Cognition, Ixico and Linus Health.
Does The AI-Mind project have an API?
No public API is recorded for The AI-Mind project.
What industry is The AI-Mind project in?
The AI-Mind project's product category is AI-based Clinical Decision Support for Neurology. Its primary akta.pro industry code is HDAAAEAH, Medical Imaging AI, with a secondary code of HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management). Its NAICS code is 5182 and its SIC code is 7373.