What LynxCare does

LynxCare Clinical Informatics NV is a Belgian-headquartered health-data company founded in 2015 that operates a federated clinical data platform purpose-built for hospitals and life sciences organizations. Its core technology combines a proprietary clinical Natural Language Processing (cNLP) pipeline — built on healthcare-trained small language models rather than generic LLMs — with OMOP Common Data Model harmonization and a federated-by-design architecture in which analytics and model execution occur where the patient data resides, ensuring hospitals retain custody of raw data and that the system is GDPR-compliant by default. The platform extracts structured, analysis-ready clinical concepts (diagnoses, symptoms, procedures, medications, outcomes) from unstructured EHR narrative text, complements this with structured-field processing, and subjects outputs to a five-layer Sentinel data quality framework (conformance, completeness, plausibility, medical review, benchmark). External validation has demonstrated 94% precision and 88% recall on cancer registry data, outperforming QuickUMLS, Mistral 7B, and SapBERT on multilingual clinical narratives.

The commercial offering is built around pre-built longitudinal real-world data assets spanning oncology, cardiology, and mental health — covering 124,500+ patients across Immuno-Oncology (5,000+), Lung Cancer (14,000+), Breast Cancer (20,000+), CLL (2,500+), Multiple Myeloma (2,500+), Heart Failure (44,000+), aTTR-CM (1,500+), and Mental Health (35,000+) — with 45–80% of endpoints NLP-enriched. Supporting services include feasibility assessments for prospective RWE studies and a structured six-step data partner onboarding process for new hospitals. The company serves two primary customer segments: hospitals seeking to participate in multi-center research, improve quality control, and unlock value from their EHR data; and life sciences organizations (pharma, biotech, medical device companies) needing regulatory-grade real-world evidence for clinical development, regulatory submissions, and post-market surveillance. Go-to-market is enterprise field sales with a quote-based, multi-year subscription model, active across Belgium, the Netherlands, France, and Germany, with an October 2024 partnership with Dedalus extending channel reach and a February 2026 entry into the OncoLab consortium deepening oncology research positioning.

LynxCare has raised approximately €26M cumulatively across multiple funding rounds, with the €20M Series A in June 2022 (led by MTIP, joined by Elaia, Heran Partners, Btov Partners, and PMV) being the largest Belgian digital health round at the time. The company employs 30+ multidisciplinary staff and is led by CEO Mikaela Bruhammar, Co-founder and CMO Dries Hens, CTPO Tom Dufour, with CCO Rhiannon Thomason (Jan 2026), General Counsel Bram Van Eeckhout, and former Sanofi CSO Laurent van Lerberghe as board advisor (Feb 2024). Its compliance stack includes ISO/IEC 27001:2022, NEN 7510, GDPR with appointed DPO, HIPAA, and EHDEN Certified SME Partner status.

Name

LynxCare

Legal name

LynxCare Clinical Informatics NV

Website

https://lynx.care

Company type

Private

Founded year

2015

Operating status

Operating

Headcount range

11–50 employees

Short description

LynxCare operates a federated clinical data platform that uses proprietary NLP to convert European hospital EHRs into OMOP-compliant, quality-validated real-world evidence. It serves hospitals seeking research participation and life sciences organizations requiring regulatory-grade datasets across oncology, cardiology, and mental health.

Ownership category

akta.pro rank

Product category

Healthcare Data Analytics / Real-World Evidence Platform

NAICS

Services for the Elderly and Persons with Disabilities (624120)

SIC

Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Healthcare Terminology, Ontology & Code Set Management (SNOMED/LOINC/ICD/RxNorm) (HLACAIAF)

akta.pro secondary industries

Terminology Services & Semantic Interoperability (SNOMED/LOINC/RxNorm mapping) (HLACABAJ), Data Governance, Standards & Interoperability (ICD, HL7/FHIR, LOINC, SNOMED) (HLAJAJAM), Clinical Data Repositories (CDR) & Longitudinal Patient Records (HLACAIAH)

Keywords

• Clinical data platform
• Real-world evidence
• Clinical NLP
• Federated analytics
• EHR data harmonization

Headquarters

HQ city

Leuven

HQ country

Belgium

HQ region

Europe

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure

Revenue model

1. Real-World Evidence Platform Services: Provides clinical NLP-enriched EHR data, federated analytics, and data quality services to hospitals and life sciences organizations. Revenue likely derived from subscription-based contracts with healthcare organizations for access to the data platform and insights.

Pricing tiers

Go-to-market motion1 record

Distribution channels1 record

Marketing channels5 records

Core offering

LynxCare provides a federated clinical data platform that uses proprietary clinical NLP (built on healthcare-trained small language models) to extract, normalize, and structure information from unstructured and structured hospital EHR data into OMOP Common Data Model format. Hospitals retain full data custody while gaining access to multi-site research, quality benchmarking, and pre-built longitudinal Real-World Data assets across oncology, cardiology, and mental health for life sciences customers.

Product overview

LynxCare offers a unified clinical data platform built around a federated architecture. The core product is the LynxCare Clinical Data Platform, which integrates three key components: the proprietary cNLP Pipeline (for extracting and normalizing clinical concepts from unstructured EHR notes), the Sentinel Data Quality Framework (automated 5-layer QA ensuring regulatory-grade datasets), and a network of European hospitals providing Real-World Data Assets across oncology, cardiology, and mental health. The platform processes both structured EHR fields and unstructured clinical narratives, harmonizing everything into the OMOP Common Data Model. Hospitals retain full data custody; analytics run locally via federated deployment. Supporting services include Feasibility Assessment (pre-study feasibility checks) and Data Partner Onboarding (structured hospital integration into the network). All outputs are designed for regulatory-grade RWE suitable for life sciences research and EU health data ecosystem participation.

Differentiator

Problem solved

Functional benefit

Products and services

• LynxCare Clinical Data Platform A secure, federated clinical data platform enabling hospitals to extract, harmonize, and analyze EHR data using AI and clinical NLP. The platform processes both structured and unstructured hospital data, maps outputs to OMOP CDM, and runs analytics on-prem or in cloud without transferring raw patient data outside hospital custody. Designed for hospitals and life sciences organizations across Europe.
• Real-World Data Assets (Oncology, Cardiology, Mental Health) Pre-built, longitudinal EHR-extracted datasets covering therapeutic areas including Immuno-Oncology (5,000+ patients), Lung Cancer (14,000+), Breast Cancer (20,000+), CLL (2,500+), Multiple Myeloma, Heart Failure (44,000+), aTTR-CM (1,500+), and Mental Health (35,000+). Each asset includes defined endpoints, with a substantial proportion NLP-enriched for granular clinical outcomes. Sold to life sciences organizations for real-world evidence generation.
• Feasibility Assessment Service A project risk-minimization service where LynxCare's clinical and data expert team assesses patient counts and data completeness within the European hospital network against client RWE requirements before full study engagement. Targeted at life sciences organizations planning real-world evidence studies.
• Data Partner Onboarding Service A structured six-step process for hospitals joining LynxCare's federated research network: on-prem data access at the HIS level, transformer-based cNLP enrichment, mapping to FHIR/OMOP CDM standards, RWD quality validation via Sentinel, federated analytics setup, and ongoing value-add beyond the raw data asset. Targeted at European hospitals and hospital networks.

Quantifiable outcome

• 48.6% relative increase in genetic testing for rare diseases (hATTR) through AI-driven symptom detection
• +4 more outcomes

Named customers6 records

Segments2 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability6 records

Feature6 records

Partnerships

Five partnerships are on record, tiered major.

• AmaronmajorImplementation/ SI/ Consulting PartnerBelgian healthcare interoperability solutions company providing integration services. First joint integration at East Limburg Hospital, with projects at AZ Nikolaas and Cliniques de L'Europe. At ZOL Genk, Amaron extracts data from Chipsoft EHR while LynxCare's AI engine converts reports to coded concepts (SNOMED & ICD-10).
• DedalusmajorStrategic or Co-development PartnerPartnership announced October 2024 to transform real-world data access in Europe. Dedalus is a leading healthcare IT provider.
• EHDEN (European Health Data and Evidence Network)majorStrategic or Co-development PartnerEHDEN data partner since August 2020, certified as SME partner. Committed to standardizing data according to OMOP CDM and can provide support in standardization process to other organizations.
• OHDSImajorStrategic or Co-development PartnerActive participant in OHDSI (Observational Health Data Sciences and Informatics) research network. Gold Sponsor of OHDSI Europe Symposium 2025. Contributes to open-source research networks for harmonized health data.
• OncoLab ConsortiummajorStrategic or Co-development PartnerLynxCare joined the OncoLab consortium in February 2026 to advance cancer research through collaborative research network.

Scale indicators5 records

Recent moves7 records

Expansion highlights6 records

Direct peers

• Flatiron Health: Acquired by Roche for $1.9B, Flatiron Health provides EHR-derived real-world evidence in oncology with deep clinical NLP. Highly comparable to LynxCare's oncology data assets and OMOP-style harmonization, though at much larger scale and US-centric.
• Aetion: Aetion provides regulatory-grade real-world evidence analytics to life sciences, combining structured and unstructured EHR data. Comparable to LynxCare's RWE platform offering for pharma/biotech evidence generation.
• Atropos Health: Atropos Health turns de-identified EHR data into real-world evidence through its Evidence Platform, including NLP enrichment of clinical notes. Directly comparable to LynxCare's federated RWE + clinical NLP approach for life sciences clients.
• Verantos: Verantos specializes in high-validity real-world evidence using AI/NLP on EHR data, with regulatory-grade outputs. Directly comparable to LynxCare's clinical NLP and regulatory-grade RWE positioning for pharma.
• OM1: OM1 operates longitudinal real-world data networks across specialty therapeutic areas with AI-enabled phenotype extraction. Comparable to LynxCare's specialty RWE data assets and NLP-driven phenotype extraction.

Broad incumbents

• IQVIA: IQVIA is the global leader in RWE and life sciences analytics with massive data assets and pharma relationships. Comparable as a competitor for LynxCare's life sciences RWE business, but at vastly larger scale and broader scope.
• Tempus: Tempus combines multi-modal data (clinical, molecular, imaging) with AI to support precision medicine. Comparable to LynxCare in applying NLP/AI to clinical data for life sciences, though with stronger focus on genomics and US footprint.

Emerging players

• Datavant: Datavant focuses on health data connectivity and privacy-preserving record linkage across institutions. Comparable to LynxCare's federated data architecture philosophy, though Datavant emphasizes de-identification/tokenization rather than clinical NLP.
• HealthVerity: HealthVerity provides privacy-preserving linkage of disparate healthcare data sources for RWE generation. Comparable to LynxCare's federated approach to multi-source clinical data assembly, though with a more US-centric and claims-heavy orientation.
• Truveta: Truveta aggregates de-identified EHR data from a US health system consortium using a common data model for regulatory-grade RWE. Comparable to LynxCare's consortium-based, OMOP-CDM-aligned RWE model, though geographically distinct (US vs EU).

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks7 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/lynxcare-clinical-informatics
• Xx.com/lynxcare

Compliance5 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles6 records

Funding overview

Funding rounds7 records

Investors11 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about LynxCare