Reveleer

A record retrieval and abstraction business rebuilt around AI rather than an AI native company, and the history matters for sizing it. Founded in 2009 as a medical record retrieval operation, the company now applies natural language processing and machine learning through what it calls an Evidence Validation Engine that parses retrieved charts and populates abstraction fields for coder review. The retrieval infrastructure, meaning the relationships and workflows that get charts out of provider offices at volume, remains a substantial non AI asset and is arguably what customers cannot easily replace.

The AI populates and the human confirms. The engine automates chart retrieval, parses records, and pre fills abstraction fields, with certified coders reviewing before submission, and output is described as maintaining document linked evidence so a reviewer can trace each abstracted element back to source. That structure is appropriate given the end product is a regulatory submission to CMS where the plan bears audit liability for every code.

The pipeline is described functionally, covering automated retrieval, record parsing, abstraction field population, and document linked evidence for audit defense, and third party analysis characterizes the underlying technology as natural language processing and AI. No model architecture, accuracy figures, or validation methodology were located, which is a meaningful gap for a vendor whose output feeds RADV submissions.

Operational rather than clinical, appropriately, and the strongest evidence is longevity and scale rather than published metrics. The company has operated in medical record retrieval since 2009 and serves health plans across Medicare Advantage, ACA Marketplace, and Medicaid, with third party analysis noting suitability for high volume chart review projects and backlog clearing. It has raised substantial capital including a 65 million dollar round in 2024. No published accuracy figures, customer outcome studies, or independent evaluation were located.

No published PHI framework or data governance disclosure was located. The retrieval model means the company obtains complete medical records from provider organizations on behalf of health plans at very large volume, which is among the broadest PHI surfaces in this index and warrants direct diligence.

No HIPAA or BAA commitment was located in public materials, though business associate status is structurally required and long established for a vendor whose core operation is retrieving medical records on behalf of covered entities.

No SOC 2, HITRUST, or ISO 27001 attestation was located in the materials reviewed, and no trust center was found.

No FDA pathway applies. The operative regime is CMS and NCQA, and the company's product scope maps directly onto it: HEDIS abstraction for quality reporting, risk adjustment coding, and RADV Independent Validation Audit submissions. Supporting the IVA workflow specifically is notable, since that is the contractor led validation stage where a plan's documentation is tested against submitted codes, and building for it means the vendor is operating at the sharpest edge of the compliance surface.

No governance framework or bias evaluation was located. The pertinent question for retrospective abstraction is whether parsing accuracy varies by record format, provider type, or documentation quality, since retrieval spans thousands of provider organizations with wildly different record systems and a model that reads some formats better than others introduces systematic gaps.

The company's distinctive capability is breadth of retrieval across the provider landscape rather than depth of integration with any one system, which third party analysis describes as accelerated record collection at scale. That same analysis notes the integration lift is real, requiring coordination across data systems. No named EHR integrations or standards support were located.

No hosting, tenancy, or data residency disclosure was located.

No published pricing. The company offers both platform software and end to end managed services for record review and management, which typically carry different economics, and neither structure nor rates are disclosed.

Broad across the payer quality and risk surface, spanning quality improvement including HEDIS, risk adjustment, and member management, with program coverage across Medicare Advantage, ACA Marketplace, and Medicaid. The orientation is retrospective look back work rather than point of care support, which third party analysis identifies as the tradeoff against prospective competitors. Buyers are health plans and risk bearing provider organizations rather than clinicians.