AIDAVA Related Companies: Difference between revisions

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Full research: 20 companies with funding, valuations, AIDAVA technology mapping
Updated all tables with business details: employees, refined valuations, milestones
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{| class="wikitable sortable"
{| class="wikitable sortable"
! Company !! Country !! Founded !! Funding !! Valuation !! Description
! Company !! Country !! Founded !! Funding !! Valuation !! Employees !! Description
|-
|-
| [[LynxCare]] || Belgium || 2015 || €20M (2021) || ~€50-80M || Clinical data platform integrating structured and unstructured hospital data to generate real-world evidence for doctors.
| [[LynxCare]] || Belgium || 2015 || €20M (2021) || ~€50-80M || ~50-100 || Clinical data platform generating real-world evidence from hospital data.
|-
|-
| [[TriNetX]] || US/EU || 2013 || $40M+ || ~$500M+ || Global health research network connecting hospital EHR data for clinical trial optimization. 300+ healthcare organizations across 30 countries.
| [[TriNetX]] || US/EU || 2013 || $40M+ || ~$500M+ || ~300-500 || Federated clinical data network. 300+ organizations, 30 countries.
|-
|-
| [[Castor EDC]] || Netherlands || 2012 || €25M+ || ~€50-100M || Electronic Data Capture with automated FAIRification of clinical trial data. Published research on de-novo FAIRification via EDC.
| [[Castor EDC]] || Netherlands || 2012 || €25M+ || ~€50-100M || ~100-200 || EDC with automated FAIRification. 10,000+ studies.
|-
|-
| [[Aetion]] || US/EU || 2013 || Acquired by Datavant || — || Real-world evidence platform analyzing health data for regulatory-grade insights. Acquired by Datavant.
| [[Aetion]] || US/EU || 2013 || Acquired || ~$500M+ || ~200 || FDA-recognized RWE platform. Acquired by Datavant.
|-
|-
| [[Sensyne Health]] || UK || 2014 || £60M+ || Rebranded to Phinial || Partners with NHS trusts to analyze anonymized patient data (30M+ records) for drug discovery.
| [[Sensyne Health]] || UK || 2014 || £60M+ || Rebranded || ~100 || NHS data (30M+ records). Now Phinial.
|-
|-
| [[PicnicHealth]] || US || 2014 || $60M+ || ~$200M+ || Collects and digitizes patient medical records into unified longitudinal records. Connects to 10,000+ healthcare facilities. Launched ThumbPrint patient-anchored record matching.
| [[PicnicHealth]] || US || 2014 || $60M+ || ~$200M+ || ~200+ || 12 of top 20 pharma customers. 10K+ facilities. 98% retention.
|-
|-
| [[1upHealth]] || US || 2017 || $40M Series C (2023) || ~$150M+ || Patient-facing FHIR platform for aggregating and sharing health data across providers. Built on CMS Patient Access API.
| [[1upHealth]] || US || 2017 || $40M (2023) || ~$150M+ || ~100-200 || FHIR patient platform. CMS Patient Access API.
|}
|}


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{| class="wikitable sortable"
{| class="wikitable sortable"
! Company !! Country !! Founded !! Funding !! Valuation !! Description
! Company !! Country !! Founded !! Funding !! Valuation !! Employees !! Description
|-
|-
| [[Healx]] || UK || 2014 || $56M+ || ~$200M+ || Uses knowledge graphs and AI to find new treatments for rare diseases. Published research on automated biological evidence generation using knowledge graphs.
| [[Healx]] || UK || 2014 || $47M+ || ~$150M+ || ~50-100 || Knowledge graph AI for rare disease drug repurposing.
|-
|-
| [[Ada Health]] || Germany || 2011 || $100M+ || ~$300-500M || AI-powered medical knowledge base with 30,000+ medical concepts. Knowledge graph approach to symptom assessment.
| [[Ada Health]] || Germany || 2011 || $100M+ || ~$300-500M || ~300+ || 30K+ medical concepts. AI symptom assessment.
|-
|-
| [[Owkin]] || France || 2016 || $300M+ || ~$1B+ || Federated learning for health data — trains AI across hospital data without moving patient records. Nature Medicine research.
| [[Owkin]] || France || 2016 || $300M+ || ~$1B+ || ~300+ || Federated learning. Sanofi partnership. Nature Medicine.
|-
|-
| [[Cogstack]] || UK || 2014 || Open-source || Open-source || Open-source NLP platform for extracting structured data from unstructured clinical text. Developed at UCL/GSTT (NHS).
| [[Cogstack]] || UK || 2014 || Open-source || Open-source || ~10-20 || NHS clinical NLP. UCL/GSTT.
|}
|}


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{| class="wikitable sortable"
{| class="wikitable sortable"
! Company !! Country !! Founded !! Funding !! Valuation !! Description
! Company !! Country !! Founded !! Funding !! Valuation !! Employees !! Description
|-
|-
| [[Better]] || Slovenia || 2016 || €10M+ || ~€30-50M || Open-source FHIR platform for health data interoperability. Used by health systems across Europe.
| [[Better]] || Slovenia || 2016 || €10M+ || ~€30-50M || ~50-100 || Open-source FHIR platform for Europe.
|-
|-
| [[InterSystems]] || US/EU || 1978 || Private || ~$5B+ || HealthShare platform providing FHIR-based health data integration. Launched HealthShare AI Assistant.
| [[InterSystems]] || US/EU || 1978 || Self-funded || ~$5B+ || ~1,800+ || HealthShare in 100+ countries. ~$1B+ revenue.
|-
|-
| [[R澉IT]] || Denmark || 2014 || €5M+ || ~€10-20M || Health data integration infrastructure for Nordic healthcare systems.
| [[R澉IT]] || Denmark || 2016 || €5M+ || ~€10-20M || ~20-50 || Nordic health data integration.
|}
|}


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{| class="wikitable sortable"
{| class="wikitable sortable"
! Company !! Country !! Founded !! Funding !! Valuation !! Description
! Company !! Country !! Founded !! Funding !! Valuation !! Employees !! Description
|-
|-
| [[Qantev]] || France || 2019 || €30M (2025) || ~€100M+ || AI-driven claims platform for health insurers. Processes health data at scale using small AI models that outperform LLMs.
| [[Qantev]] || France || 2019 || €30M (2025) || ~€100M+ || ~50-80 || AI health claims. Small models outperform LLMs.
|-
|-
| [[Unlearn AI]] || US || 2017 || $50M+ || ~$200M+ || Generates AI digital twins from longitudinal patient data for clinical trial optimization.
| [[Unlearn AI]] || US || 2019 || $50M Series C || ~$200M+ || ~50-100 || Digital twins for clinical trials.
|-
|-
| [[Triall]] || Netherlands || 2018 || €5M+ || ~€10-20M || Blockchain-based platform for clinical trial data integrity and interoperability.
| [[Triall]] || Netherlands || 2018 || €5M+ || ~€10-20M || ~20-30 || Blockchain clinical trial integrity.
|-
|-
| [[Synapse Medicine]] || France || 2017 || Series B+ || ~€50-100M || Digital prescription platform using drug interaction ontologies.
| [[Synapse Medicine]] || France || 2017 || $28M+ || ~€50-100M || ~50-80 || Medication intelligence platform.
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|-
| [[Lifen]] || France || 2015 || €30M+ || ~€50-100M || Health document management enabling interoperable exchange between hospitals, labs, and practitioners.
| [[Lifen]] || France || 2015 || €30M+ || ~€50-100M || ~100+ || Health document exchange.
|}
|}


Revision as of 15:54, 14 April 2026

EU and global startups and companies working on longitudinal health records, personal health knowledge graphs (PHKG), health data interoperability, and AI-driven data curation — the core value proposition of the AIDAVA project.

These companies operate in the same problem space as AIDAVA: making fragmented, heterogeneous health data interoperable, AI-ready, and reusable across clinical care, research, and patient empowerment.

Longitudinal Health Records & Patient Data Platforms

Company Country Founded Funding Valuation Employees Description
LynxCare Belgium 2015 €20M (2021) ~€50-80M ~50-100 Clinical data platform generating real-world evidence from hospital data.
TriNetX US/EU 2013 $40M+ ~$500M+ ~300-500 Federated clinical data network. 300+ organizations, 30 countries.
Castor EDC Netherlands 2012 €25M+ ~€50-100M ~100-200 EDC with automated FAIRification. 10,000+ studies.
Aetion US/EU 2013 Acquired ~$500M+ ~200 FDA-recognized RWE platform. Acquired by Datavant.
Sensyne Health UK 2014 £60M+ Rebranded ~100 NHS data (30M+ records). Now Phinial.
PicnicHealth US 2014 $60M+ ~$200M+ ~200+ 12 of top 20 pharma customers. 10K+ facilities. 98% retention.
1upHealth US 2017 $40M (2023) ~$150M+ ~100-200 FHIR patient platform. CMS Patient Access API.

Health Knowledge Graphs & Ontologies

Company Country Founded Funding Valuation Employees Description
Healx UK 2014 $47M+ ~$150M+ ~50-100 Knowledge graph AI for rare disease drug repurposing.
Ada Health Germany 2011 $100M+ ~$300-500M ~300+ 30K+ medical concepts. AI symptom assessment.
Owkin France 2016 $300M+ ~$1B+ ~300+ Federated learning. Sanofi partnership. Nature Medicine.
Cogstack UK 2014 Open-source Open-source ~10-20 NHS clinical NLP. UCL/GSTT.

Health Data Interoperability (FHIR / HL7)

Company Country Founded Funding Valuation Employees Description
Better Slovenia 2016 €10M+ ~€30-50M ~50-100 Open-source FHIR platform for Europe.
InterSystems US/EU 1978 Self-funded ~$5B+ ~1,800+ HealthShare in 100+ countries. ~$1B+ revenue.
R澉IT Denmark 2016 €5M+ ~€10-20M ~20-50 Nordic health data integration.

AI Health Data Processing & Curation

Company Country Founded Funding Valuation Employees Description
Qantev France 2019 €30M (2025) ~€100M+ ~50-80 AI health claims. Small models outperform LLMs.
Unlearn AI US 2019 $50M Series C ~$200M+ ~50-100 Digital twins for clinical trials.
Triall Netherlands 2018 €5M+ ~€10-20M ~20-30 Blockchain clinical trial integrity.
Synapse Medicine France 2017 $28M+ ~€50-100M ~50-80 Medication intelligence platform.
Lifen France 2015 €30M+ ~€50-100M ~100+ Health document exchange.

Personal Health Records & Patient Empowerment

Company Country Founded Funding Valuation Description
Loovi Sweden 2023 €1M Seed Not disclosed Biomarker testing platform building longitudinal health profiles from repeated blood tests.

AIDAVA Technology Connections

These companies map to AIDAVA's four technology pillars:

1. FAIRification & Quality Enhancement

  • Castor EDC — automated FAIRification via EDC
  • 1upHealth — FHIR-based data standardization
  • Better — open-source FHIR platform

2. Knowledge Graphs with Ontologies

  • Healx — knowledge graphs for drug repurposing
  • Ada Health — medical knowledge graph (30K+ concepts)
  • Owkin — federated learning on distributed health data

3. NLP for Information Extraction

  • Cogstack — open-source clinical NLP (NHS deployed)
  • Qantev — small AI models for health data processing
  • Averbis — German NLP for health data

4. Human-AI Interaction & Explainability

See Also

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