CARE Foundation Models
Healthcare AI foundation model trained on 1B+ patient-years for digital phenotyping and outcomes prediction
Company profile
Company profile
OM1 is a pioneering healthcare AI and real-world evidence company that has developed the PhenOM foundation model, trained on over 1 billion patient-years of data. The company was founded to close the gap between what healthcare demands and what traditional evidence can deliver. OM1's technology enables digital patient phenotyping, medical event prediction, and outcomes forecasting to help healthcare leaders make data-driven decisions with confidence. The company's platform combines frontier AI technology with comprehensive real-world data covering 350M+ patients from EMR, claims, and specialty networks. OM1 holds 10+ patents in digital patient phenotyping, subtyping, outcomes measurement, and healthcare AI explainability. The company has demonstrated clinical impact through randomized controlled trials and has completed the largest AI-processed study with a successful regulatory submission for a new label indication. OM1 serves three primary markets: life sciences companies seeking to accelerate drug discovery and generate regulatory-ready evidence; healthcare providers looking to improve screening, patient finding, and quality scores; and payers aiming to identify high-risk members and measure ROI of care management programs. The company's solutions include patient finding and outcomes prediction, clinical registries and automated studies, clinical datasets and insights, and scientific consulting services. With experience in 300+ registries and observational studies, OM1 combines cross-functional expertise in data science, epidemiology, clinical research, and AI to transform how real-world evidence is generated and applied across the healthcare ecosystem.
Company description OM1 official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Api Only · Cloud Saas · Hybrid · Other deployment with recorded integration context.
Recorded integration context: Claims data systems, EHR systems, EMR, Specialty networks.
Company milestones
Frost & Sullivan 2025 Technology Innovation Leadership Recognition for shaping the future of RWE with innovative AI solutions for immunology and oncology. Novartis and AAD partnership to improve outcomes for HS patients using PhenOM.
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
Healthcare AI foundation model trained on 1B+ patient-years for digital phenotyping and outcomes prediction
Automated data capture, processing and enrichment for faster, more reliable insights
Curated datasets covering 350M+ patients with linked, longitudinal EMR, claims, and specialty data
AI-automated registries and observational studies with regulatory-ready evidence generation
AI-powered decision support tool for joint replacement that improved decision quality in RCT
AI-powered patient identification and medical event forecasting for individuals and populations
Expert services in data science, epidemiology, AI and regulatory strategy for RWE programs
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · Jun 21, 2026
Using artificial intelligence to identify characteristics associated with clinical and economic outcomes in MASH (FOCUS-MASH).Therapeutic advances in gastroenterology · Jan 1, 2026
Real-world effectiveness of cariprazine in major depressive disorder and bipolar I disorder in the United States.Journal of medical economics · Dec 1, 2025
Real-world evaluation of change in depressive symptoms among patients with treatment-resistant depression treated with esketamine.BMC psychiatry · Nov 27, 2025
Clinical burden of major depressive disorder with versus without prominent anhedonia using a real-world electronic health records and claims linked database.BMC psychiatry · Jul 25, 2025
A machine learning model using clinical notes to estimate PHQ-9 symptom severity scores in depressed patients.Journal of affective disorders · May 1, 2025
Clinical validation
No linked records are currently available.
Regulatory
No linked records are currently available.
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
18 months enrollment period
Largest real-world regulatory submission to date
Designed by OM1 experts
Through PhenOM model
Improve decision quality and patient experience for joint replacement surgery using PhenOM-powered Joint Insights
Improved decision quality and patient experience demonstrated in randomized controlled trial
Identify patients at high risk for undiagnosed Fabry Disease and predict likelihood of cardiovascular outcomes
Improved patient finding for undiagnosed Fabry Disease with cardiovascular outcome predictions
Demonstrate clinical and economic value using robust, longitudinal real-world data and analytic expertise
Produced credible evidence that payers can rely on to inform coverage decisions
Flexible collaboration on outcomes research with expert guidance and ability to shift direction when required
Successful outcomes research collaboration with expert support
Long-term follow-up study enrollment and tracking using automated and patient-mediated data collection
1.1M patients enrolled in 18 months
Enhance diagnosis and treatment for patients with hidradenitis suppurativa (HS) using PhenOM for patient finding and outcomes prediction
Improved outcomes for HS patients through enhanced diagnosis and treatment
Largest real-world regulatory submission using AI-processed data
600K+ patients in successful regulatory submission
05 · Leadership
Leadership profiles and professional links from the current Company record.
No active leadership profiles are currently listed.
06 · Company updates
Recent articles published on OM1's official website.
No Company updates are currently listed.
07 · HAIC coverage
Health AI Central reporting that mentions this Company.
No HAIC coverage is currently linked to this Company.
08 · Official presence
Curated official destinations from the active Company record.
09 · Market pathway
Other active Companies in the same market, selected alphabetically from the HAIC directory.
Market context
Companies providing AI-powered analytics for population health management, healthcare data integration and analysis, risk stratification, care gap identification, or value-based care analytics. Focuses on analyzing data across patient populations to improve outcomes at scale and enable data-driven decision-making across health systems.
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Linked research, clinical, and regulatory source pathways.
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