Eos AI is building an autonomous operating system for healthcare that helps clinics turn fragmented historical data into actionable insights. The platform harmonizes data across disparate healthcare systems to create standardized patient data distributions. This enables hospitals to identify more eligible patients, predict case resolutions, and trigger early care interventions and necessary approvals. The goal is to surface eligible patients and reduce staff workload.
Eos AI
ActiveAutonomous OS for healthcare
Total raised
$500K
1 round
Stage
Seed
Jan 2026
Team
1-10
since 2026
Pricing
—
Founded
2026
San Francisco, United States
Agent-ready
—
Autonomous OS that harmonizes fragmented clinical data
Standardized patient data distributions across systems
Identification of eligible patients for care programs
Prediction of case resolutions
Triggering of early care interventions
Surfacing of necessary approvals
Conversion of historical data into actionable insights
Workflows aimed at reducing staff workload
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2026 Seed $500K ● Y Combinator
Capital network
$500K raised ·1 backer·10 network links
- Backers1
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
Pearl Health
AI value-based care platform for primary care providers
AI AnalyticsAI Healthcare
Commure
AI Healthcare
Innovaccer
AI Healthcare
Truveta
AI Healthcare
Terray Therapeutics
Generative AI and ultra-high-throughput chemistry for small-molecule drug discovery
AI HealthcareDrug Discovery
Genesis Molecular AI
Generative AI for small-molecule drug discovery
AI HealthcareDrug Discovery
- What is Eos AI?
- Eos AI is an autonomous OS for healthcare that harmonizes fragmented clinical data into standardized insights, helping clinics identify eligible patients and enable early care interventions.
- How does Eos AI handle fragmented data?
- It harmonizes data across disparate healthcare systems to create standardized patient data distributions that hospitals and clinics can act on.
- What outcomes does Eos AI enable?
- It helps hospitals identify more eligible patients, predict case resolutions, and trigger early care interventions and necessary approvals.
- What problem does Eos AI aim to solve?
- It aims to surface eligible patients and reduce staff workload by turning fragmented historical data into actionable insights.
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