AIDAVA Related Companies - Revision history

Admin 3julmthh: Added cross-references: AIDAVA Competitive Analysis, Ontologies for Longitudinal Health Records, Companies

2026-04-14T17:57:34Z

Added cross-references: AIDAVA Competitive Analysis, Ontologies for Longitudinal Health Records, Companies

← Older revision		Revision as of 17:57, 14 April 2026
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	== See Also ==		== See Also ==
			* [[AIDAVA Competitive Analysis]]
			* [[Ontologies for Longitudinal Health Records]]
			* [[Companies]]
	* [[AIDAVA]]		* [[AIDAVA]]
	* [[AIDAVA Contacts]]		* [[AIDAVA Contacts]]

Admin 3julmthh: Updated all tables with business details: employees, refined valuations, milestones

2026-04-14T15:54:29Z

Updated all tables with business details: employees, refined valuations, milestones

← Older revision		Revision as of 15:54, 14 April 2026
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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.
	\|-		\|-
	\| [[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.
	\|}		\|}

Admin 3julmthh: Full research: 20 companies with funding, valuations, AIDAVA technology mapping

2026-04-14T12:14:22Z

Full research: 20 companies with funding, valuations, AIDAVA technology mapping

Show changes

Admin 3julmthh: EU startups in longitudinal records, PHKG, interoperability, health data curation

2026-04-14T12:08:07Z

EU startups in longitudinal records, PHKG, interoperability, health data curation

New page

__NOTOC__
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.

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 ==

{| class="wikitable sortable"
! Company !! Country !! Focus !! Founded !! Funding !! 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.
|-
| [[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.
|-
| [[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.
|-
| [[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.
|-
| [[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.
|}

== Health Knowledge Graphs & Ontologies ==

{| class="wikitable sortable"
! Company !! Country !! Focus !! Founded !! Funding !! 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.
|-
| [[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.
|-
| [[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.
|-
| [[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.
|}

== Health Data Interoperability (FHIR / HL7) ==

{| class="wikitable sortable"
! Company !! Country !! Focus !! Founded !! Funding !! 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.
|-
| [[InterSystems]] || US (EU ops) || Health data fabric || 1978 || Private || HealthShare platform providing FHIR-based health data integration for hospitals and health networks globally.
|-
| [[R澉IT]] || Denmark || Health data integration || 2014 || €5M+ || Danish startup building infrastructure for health data integration across Nordic healthcare systems.
|}

== AI Health Data Processing & Curation ==

{| class="wikitable sortable"
! Company !! Country !! Focus !! Founded !! Funding !! 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.
|-
| [[Unlearn AI]] || US || Digital twins || 2017 || $50M+ || Generates AI digital twins from clinical data to optimize clinical trials. Uses patient longitudinal data for prediction.
|-
| [[Triall]] || Netherlands || Blockchain clinical data || 2018 || €5M+ || Blockchain-based platform for clinical trial data integrity and interoperability. First blockchain application for COVID-19 trials.
|-
| [[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.
|-
| [[Lifen]] || France || Health document exchange || 2015 || €30M+ || Health document management platform enabling interoperable document exchange between hospitals, labs, and practitioners. Already in wiki.
|}

== Personal Health Records & Patient Empowerment ==

{| class="wikitable sortable"
! Company !! Country !! Focus !! Founded !! Funding !! 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 || 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 ==

These companies and AIDAVA share common technology foundations:
* '''Ontologies:''' SNOMED CT, LOINC, HL7 FHIR resource profiles
* '''NLP:''' Information extraction from narrative clinical text
* '''Knowledge Graphs:''' Personal Health Knowledge Graphs (PHKG) as universal representation
* '''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.

== See Also ==
* [[AIDAVA]]
* [[AIDAVA Contacts]]
* [[AIDAVA Documents]]
* [[Interoperability]]
* [[Knowledge Graphs in Health]]
* [[Publications]]

[[Category:Topics]]