AIDAVA Related Companies: Difference between revisions

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EU startups in longitudinal records, PHKG, interoperability, health data curation
 
Added cross-references: AIDAVA Competitive Analysis, Ontologies for Longitudinal Health Records, Companies
 
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EU 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.
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.
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.
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{| class="wikitable sortable"
{| class="wikitable sortable"
! Company !! Country !! Focus !! Founded !! Funding !! Description
! Company !! Country !! Founded !! Funding !! Valuation !! Employees !! Description
|-
|-
| [[LynxCare]] || Belgium || Clinical data integration || 2015 || €20M (2021) || Clinical data platform that integrates structured and unstructured hospital data to generate real-world evidence. Directly relevant to AIDAVA's data curation use case.
| [[LynxCare]] || Belgium || 2015 || €20M (2021) || ~€50-80M || ~50-100 || Clinical data platform generating real-world evidence from hospital data.
|-
|-
| [[TriNetX]] || US (EU ops) || Clinical data network || 2013 || $40M+ || Global health research network connecting hospital EHR data for clinical trial optimization. Largest federated clinical data network.
| [[TriNetX]] || US/EU || 2013 || $40M+ || ~$500M+ || ~300-500 || Federated clinical data network. 300+ organizations, 30 countries.
|-
|-
| [[Castor EDC]] || Netherlands || Clinical data capture || 2012 || €25M+ || Electronic Data Capture system 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 ops) || Real-world evidence || 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 || Clinical AI + NHS data || 2014 || £60M+ || Partners with NHS trusts to analyze anonymized patient data for drug discovery. Now rebranded to Phinial.
| [[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.
|}
|}


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{| class="wikitable sortable"
{| class="wikitable sortable"
! Company !! Country !! Focus !! Founded !! Funding !! Description
! Company !! Country !! Founded !! Funding !! Valuation !! Employees !! Description
|-
|-
| [[Healx]] || UK || AI drug repurposing || 2014 || $56M+ || 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 || AI symptom assessment || 2011 || $100M+ || AI-powered medical knowledge base with 30,000+ medical concepts. Knowledge graph approach to symptom assessment. Already in wiki.
| [[Ada Health]] || Germany || 2011 || $100M+ || ~$300-500M || ~300+ || 30K+ medical concepts. AI symptom assessment.
|-
|-
| [[Owkin]] || France || Federated learning || 2016 || $300M+ || Federated learning for health data — trains AI models across hospital data without moving patient records. Published Nature Medicine research. Already in wiki.
| [[Owkin]] || France || 2016 || $300M+ || ~$1B+ || ~300+ || Federated learning. Sanofi partnership. Nature Medicine.
|-
|-
| [[Cogstack]] || UK || Health NLP || 2014 || UCL spinout || Open-source NLP platform for extracting structured data from unstructured clinical text in the NHS. Directly relevant to AIDAVA's NLP pillar.
| [[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 !! Focus !! Founded !! Funding !! Description
! Company !! Country !! Founded !! Funding !! Valuation !! Employees !! Description
|-
|-
| [[Better]] || Slovenia || FHIR platform || 2016 || €10M+ || Open-source FHIR platform for health data interoperability. Used by health systems across Europe for EHR data exchange.
| [[Better]] || Slovenia || 2016 || €10M+ || ~€30-50M || ~50-100 || Open-source FHIR platform for Europe.
|-
|-
| [[InterSystems]] || US (EU ops) || Health data fabric || 1978 || Private || HealthShare platform providing FHIR-based health data integration for hospitals and health networks globally.
| [[InterSystems]] || US/EU || 1978 || Self-funded || ~$5B+ || ~1,800+ || HealthShare in 100+ countries. ~$1B+ revenue.
|-
|-
| [[R澉IT]] || Denmark || Health data integration || 2014 || €5M+ || Danish startup building infrastructure for health data integration across 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 !! Focus !! Founded !! Funding !! Description
! Company !! Country !! Founded !! Funding !! Valuation !! Employees !! Description
|-
|-
| [[Qantev]] || France || AI health claims || 2019 || €30M (2025) || AI-driven claims platform for health and life insurers. Processes and validates health data at scale using NLP and ML.
| [[Qantev]] || France || 2019 || €30M (2025) || ~€100M+ || ~50-80 || AI health claims. Small models outperform LLMs.
|-
|-
| [[Unlearn AI]] || US || Digital twins || 2017 || $50M+ || Generates AI digital twins from clinical data to optimize clinical trials. Uses patient longitudinal data for prediction.
| [[Unlearn AI]] || US || 2019 || $50M Series C || ~$200M+ || ~50-100 || Digital twins for clinical trials.
|-
|-
| [[Triall]] || Netherlands || Blockchain clinical data || 2018 || €5M+ || Blockchain-based platform for clinical trial data integrity and interoperability. First blockchain application for COVID-19 trials.
| [[Triall]] || Netherlands || 2018 || €5M+ || ~€10-20M || ~20-30 || Blockchain clinical trial integrity.
|-
|-
| [[Synapse Medicine]] || France || E-prescription safety || 2017 || Series B+ || Digital prescription platform using drug interaction ontologies. Relevant to health data standards and interoperability. Already in wiki.
| [[Synapse Medicine]] || France || 2017 || $28M+ || ~€50-100M || ~50-80 || Medication intelligence platform.
|-
|-
| [[Lifen]] || France || Health document exchange || 2015 || €30M+ || Health document management platform enabling interoperable document exchange between hospitals, labs, and practitioners. Already in wiki.
| [[Lifen]] || France || 2015 || €30M+ || ~€50-100M || ~100+ || Health document exchange.
|}
|}


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{| class="wikitable sortable"
{| class="wikitable sortable"
! Company !! Country !! Focus !! Founded !! Funding !! Description
! Company !! Country !! Founded !! Funding !! Valuation !! Description
|-
| [[1upHealth]] || US || FHIR patient platform || 2017 || $30M+ || Patient-facing FHIR platform enabling individuals to aggregate and share their health data across providers.
|-
|-
| [[PicnicHealth]] || US || Patient record aggregation || 2014 || $60M+ || Collects and digitizes patient medical records into a unified longitudinal record for research.
| [[Loovi]] || Sweden || 2023 || €1M Seed || Not disclosed || Biomarker testing platform building longitudinal health profiles from repeated blood tests.
|-
| [[Loovi]] || Sweden || Preventive health || 2023 || €1M Seed || Biomarker testing platform that builds longitudinal health profiles from repeated blood tests. Relevant to longitudinal patient data. Already in wiki.
|}
|}


== AIDAVA Ecosystem Connections ==
== 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


These companies and AIDAVA share common technology foundations:
'''3. NLP for Information Extraction'''
* '''Ontologies:''' SNOMED CT, LOINC, HL7 FHIR resource profiles
* [[Cogstack]] — open-source clinical NLP (NHS deployed)
* '''NLP:''' Information extraction from narrative clinical text
* [[Qantev]] — small AI models for health data processing
* '''Knowledge Graphs:''' Personal Health Knowledge Graphs (PHKG) as universal representation
* [[Averbis]] — German NLP for health data
* '''FAIRification:''' Making health data Findable, Accessible, Interoperable, Reusable
* '''Human-AI interaction:''' Explainable AI for health data processing


AIDAVA's unique contribution is combining all these into a single virtual assistant that automates end-to-end curation and publishing of personal health data.
'''4. Human-AI Interaction & Explainability'''
* [[LynxCare]] — clinical insights dashboard for doctors
* [[Sensyne Health]] — real-world evidence for clinical decision-making
* [[InterSystems]] — HealthShare AI Assistant


== See Also ==
== See Also ==
* [[AIDAVA Competitive Analysis]]
* [[Ontologies for Longitudinal Health Records]]
* [[Companies]]
* [[AIDAVA]]
* [[AIDAVA]]
* [[AIDAVA Contacts]]
* [[AIDAVA Contacts]]

Latest revision as of 17:57, 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[edit]

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[edit]

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)[edit]

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[edit]

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[edit]

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[edit]

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[edit]

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