Eos AI

Founded by Arya Khokhar in 2025

The autonomous operating system for healthcare

Cost

Demo

Rating

★ Mixed Reviews

Time to value

Long Setup (> 1 day)

You can use Eos AI to unify healthcare data from different systems like EHRs, imaging archives, labs, and billing into one searchable database. It normalizes clinical data across hospitals and scanners, creates predictive models for patient care, and automates administrative workflows. The system learns from patient histories to predict case outcomes and triggers required approvals automatically, helping hospitals recover revenue and reduce staff workload while keeping data in original systems.

What Eos AI does

Link patient records across different healthcare systemsNormalize clinical data from various documentation stylesGenerate predictive models for patient outcomesAutomate administrative approval processesCreate searchable databases from distributed healthcare dataStandardize medical imaging protocols and metadataMonitor patient care trajectories across timeTrigger automated workflow actions based on predictionsConnects data across multiple healthcare systems without moving itResolves patient identities across different sites and encountersStandardizes imaging metadata across different scanners and protocolsNormalizes free text clinical notes and structured dataPredicts patient case outcomes using historical dataAutomates administrative workflows and approval processesCreates continuous longitudinal patient historiesImproves model performance by up to 18 percent