Ember

Ember (Ember AI) offers an AI revenue integrity and compliance platform aimed at specialty physician practices and health systems. The product layers on top of a provider's existing EHR and practice management systems to audit clinical documentation and coding before claims are submitted, and to work denials after they occur. The company positions the platform as specialty-agnostic, with workflows tailored to behavioral health, cardiology, dermatology, gastroenterology, ophthalmology, orthopedics, ENT and allergy, radiology, urology, and other procedure-heavy specialties with complex coding and payer scrutiny.

The platform is organized around three components: a Data Engine that unifies clinical documentation, coding decisions, payer policy, and contract terms across encounters and providers; a Coding Engine that reviews 100% of encounters against national standards, payer-specific policies, internal guidelines, and contracts, attaching a rule citation to every flag; and an Appeal Engine that reads CARC and RARC remittance codes, identifies applicable LCD/NCD policy and contract terms, drafts appeal letters, assembles documentation, and tracks claims through adjudication. Functional modules span documentation intelligence, coding compliance, denial intelligence, appeals automation, contract intelligence for payer rate benchmarking, and revenue recovery for payment variances, short pay, and downcoding.

Two workflows account for most customer usage: pre-bill audit, which ingests clinical notes, codes, and charge files, validates CPT, ICD-10, HCPCS, modifiers, documentation completeness, payer policy, and contracts, returns cited corrections, and surfaces recurring patterns as provider-level feedback; and automated appeals, which identifies denial root causes, retrieves records, and pushes appeals through to resolution.

Business model

Ember sells software to healthcare providers, deployed as a layer over existing EHR and practice management systems rather than replacing them; the company describes customer results in terms of ROI, recovered revenue, and staff hours saved.

Traction

The website cites measured outcomes from live deployments, including 57% fewer denials, 3.3x ROI in the first month, 100+ FTE hours saved per month, and a 9.3% increase in net revenue per appointment, along with pre-bill audit results of a 23-point improvement in clean-claim rate and 5% higher net collected revenue, and 3.1x faster appeal turnaround. Unnamed executives at specialty groups and health systems are quoted as production customers.