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Adentris

Adentris

AI compliance copilot for hospitals

Adentris, formerly known as WorkDone Health, is a Y Combinator-backed AI compliance platform for hospitals. It uses proprietary multi-agent AI to detect and correct medical documentation errors in real-time, integrating with hospital EHRs including Epic, Athena Health, Meditech, Oracle, and Veradigm to monitor over 5,000 evolving CMS, Medicaid, and Joint Commission compliance rules automatically. The platform features AI-powered alerts, draft correction generation, protocol tracking, and real-time dashboards.

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How We Help

Problem Statement

Hospitals struggle with medical documentation errors and keeping up with evolving CMS, Medicaid, and Joint Commission compliance rules, leading to potential penalties and inefficiencies.

Core Technology

proprietary multi-agent AI

Key Differentiators

Detects and corrects medical documentation errors in real-time; Proprietary multi-agent AI; Monitors 5,000+ evolving CMS, Medicaid, and Joint Commission compliance rules automatically; Integrated with hospital EHRs including Epic, Athena Health, Meditech, Oracle, and Veradigm; Features AI-powered alerts, draft correction generation, protocol tracking, and real-time dashboards

Company Info

Business Model
B2B SaaS
Founded
2025
Total Funding
2,300,000
Website
adentris.com

Categories

Clinical Documentation AI

Disease Areas

Technologies

AImulti-agent AI

Clinical & IP

🔬

Clinical Validation

Software-based compliance monitoring integrated with hospital EHRs. Monitors adherence to established standards: CMS, Joint Commission, AMA, OIG, HIPAA. No FDA clearance required—tool optimizes existing protocols.

MedStartr Index Score

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23

What do you think of Adentris?

A HUGE part of what early stage companies, and even late stage ones, need and get on MedStartr is honest feedback from actual patients, clinicians, hospital leaders and industry insiders. It is very easy to get tunnel vision as a founder. Please tell the team that runs this company what you think.

Innovation

Clinical Benefit

Feasibility

Scalability

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