Eos AI
Eos helps clinics turn their data into actionable insights to identify more eligible patients and early care interventions. We harmonize historical data across all systems to create standardized patient data distributions, acting like a translation layer between different applications. Then we build a centralized index over it: a compressed representation that lets petabytes of raw data stay where it is while allowing us to search and reason across it as one system. Instead of treating the visit
Y Combinator
yc-company-directory #6013Eos helps clinics turn their data into actionable insights to identify more eligible patients and early care interventions. We harmonize historical data across all systems to create standardized patient data distributions, acting like a translation layer between different applications. Then we build a centralized index over it: a compressed representation that lets petabytes of raw data stay where it is while allowing us to search and reason across it as one system. Instead of treating the visit
sourceEos AI is classified as AI infrastructure from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to Eos AI
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
Nirva
match 82Nirva is the lifestyle medicine layer for clinicians. For the first time, any doctor can offer daily care between appointments and earn recurring revenue. 87% of patients improve in weeks, and our system is discovering things like which foods trigger hot flashes, insights that no existing research has found.
shared extracted concept terms: layer, patient; shared product terms: insight, patient, care, system; shared product theme: health and clinical care; shared affiliation: Y Combinator
Patient IO
match 55We help health systems transition into value-based care by better connecting them with patients between visits.
shared extracted concept terms: patient; shared product terms: patient, care, system, between; shared product theme: health and clinical care
Fidari
match 54Fidari provides an integrated platform to enable comprehensive oncology care at home, covering the full patient journey from pre-diagnosis through survivorship. The patient will be welcomed and given personalized care powered by data collected from the clinics, research, and AI/machine learning.
shared extracted concepts: clinics; shared product terms: clinic, patient, care; shared product theme: health and clinical care; same category: AI infrastructure
Mederva
match 53Mederva is bringing AI-enabled healthspan care to primary care. We partner with clinics to turn lifestyle and behavior change into continuous, reimbursed care, extending healthy years of life between visits.
shared extracted concepts: clinics; shared product terms: clinic, care, between, visit; shared product theme: health and clinical care; same category: AI infrastructure; shared affiliation: Y Combinator
NarrativeDx
match 50NarrativeDx uses AI to help patient experience leaders identify actionable insights from patient feedback
shared extracted concept terms: patient; shared product terms: actionable, insight, identify, patient; shared product theme: health and clinical care; same category: AI infrastructure
Lazarus
match 49Lazarus uses historical patient data and deep learning to help predict the early onset of cancer, improving physician outcomes.
shared extracted concept terms: patient, historical; shared product terms: patient, early, historical; shared product theme: health and clinical care