# Adentris makes revenue-integrity and compliance workflows testable for medical providers

Canonical: https://mudpie.ai/companies/adentris/
Breadcrumb: [Home](https://mudpie.ai/) / [Companies](https://mudpie.ai/companies/) / [Adentris makes revenue-integrity and compliance workflows testable for medical providers](https://mudpie.ai/companies/adentris/)
Author: Ali Abouelatta (https://mudpie.ai/authors/ali-abouelatta/)
Published: 2026-09-19
Updated: 2026-09-19
Research type: Company profile
Method: Company and accelerator sources checked 2026-09-19. Product claims are attributed to their sources; this is research, not a hands-on product trial.

Adentris fits a medical provider that has documentation, coding or prior-authorization leakage but does not want to wait for a large EHR integration project.

## What it does

Adentris describes an AI revenue-integrity and compliance platform that reads charts, claims and payer workflows. Its public product pages cover documentation compliance, coding QA, prior authorization, appeals and denials, and discharge summaries. The company says its AI Web Agent works across EHRs and payer interfaces without an API integration project. [Adentris homepage](https://www.adentris.com/) [YC profile](https://www.ycombinator.com/companies/adentris)

The pricing page makes the product unusually easy to stage. The Free tier gives evaluators five of each major action type and 50 compliance rules with document upload. Starter is listed at $100 per month with 25 of each action type per month. Enterprise is custom and adds EHR integration, custom payer rules, a BAA, an SLA and a SOC 2 Type II report under NDA. [Adentris pricing](https://www.adentris.com/pricing)

## Why I’d look closer

The buyer can start with a bounded workflow. Documentation review, coding QA or prior authorization has a clearer success condition than “automate healthcare revenue.”

The product also routes findings by role: coders see coding issues, clinicians see clinical gaps and compliance sees the audit trail. That matters because a revenue-integrity system fails if every finding lands in one undifferentiated inbox.

The founders bring relevant operating experience. The [YC profile](https://www.ycombinator.com/companies/adentris) describes Alex Odin’s previous AI and SaaS work, Sergey Yudovskiy’s experience scaling ElectroNeek and Dmitry Karpov’s focus on medical documentation.

## What could make it the wrong choice

The free tier is an evaluator, not an enterprise deployment. It is limited by action type and document upload. The enterprise plan carries the integration, custom rules and compliance paperwork a larger health system may need.

The homepage reports a 62% denial reduction, 7.6x ROI and other customer figures. Those are company-reported claims. The public material does not establish the baseline, sample, payer mix or independent measurement. A buyer should run one workflow on its own data and require the clinical, coding and compliance owners to review the output.

## My editorial take

I would shortlist Adentris for a small practice or health group that wants to try revenue-integrity workflows without committing to an enterprise integration first. The $100 Starter tier makes that decision unusually reversible. I would not buy every module at once. Start with the highest-cost documentation or denial pattern and make the audit trail part of the acceptance test.

## Quick facts

| Field | Sourced detail |
| --- | --- |
| Product | AI revenue integrity and healthcare compliance platform |
| Buyers | Medical providers, behavioral-health groups, health systems and ASCs |
| Published pricing | Free tier; Starter at $100/month; Enterprise custom |
| Enterprise additions | EHR integration, custom rules, BAA, SLA and SOC 2 report under NDA |
| Main fit question | Which single revenue or documentation workflow is costly enough to test first? |

## Sources checked

Adentris homepage, pricing page, documentation-compliance page and YC company profile were checked on 2026-09-19.

## Cohort context

Adentris is listed in Spring 2025. In our 2026-09-18 directory snapshot, 10 of 143 listed companies in that cohort have YC’s primary industry label Healthcare (7.0%). This is a current-directory comparison, not an original intake count or a performance ranking. [Nine-cohort dataset](https://mudpie.ai/research/yc-cohorts-2026-09-19.json).

## Public website snapshot

Observed 2026-09-19T16:15:26.755Z in raw homepage HTML. This records visible metadata and advertised links, not agent execution or product quality.

| Signal | Homepage observation |
| --- | --- |
| Product description metadata | Observed |
| Canonical link | Observed |
| H1 or H2 heading | Observed |
| Typed structured data | Observed |
| Docs/developer link | Observed |
| Pricing link | Observed |
| llms.txt link | Not observed in this response |
| Markdown alternate | Not observed in this response |

[Public observations](https://mudpie.ai/research/yc-homepage-links-2026-09-19.json) · [Collection method](https://mudpie.ai/research/yc-homepage-methods/README.md). Missing links here do not establish that a capability or file is absent elsewhere.


## Author disclosure

I cofound Lazyweb and publish Mudpie. This is an owner-written publication, not an independent testing organization. Research notes distinguish observations, sourced reporting and editorial judgment.