Medrecords AI

AI-driven medical record and imaging review with source-cited chronologies for insurance claims and legal case teams

Claims Technology Startup Bootstrapped

Overview

Medrecords AI is an AI-driven medical record and imaging review platform for insurance carriers, TPAs, claims adjusters, and IME/QME physicians handling workers' compensation, long-term disability, claims integrity, and life underwriting review. The same platform also serves a legal market of law firms, expert witnesses, life-care planners, and Social Security Disability representatives working personal injury, medical malpractice, and mass tort cases.

The platform ingests unstructured medical records and imaging, including scanned PDFs, handwritten notes, and DICOM files, using a multi-model OCR pipeline paired with a DICOM-native viewer and 3D reconstruction. It produces structured chronologies, plain-English case Q&A, and template-based summary reports, with every generated statement linked back to the source page or imaging slice it was drawn from. The core product is priced per deduplicated page with no per-seat licensing, and the company also offers case outcome benchmarking drawn from comparable case data.

Medrecords AI is bootstrapped and founder-led, based in Falls Church, Virginia, and reports 80%+ retention among its early customers, with the platform tested on case files of up to 50,000+ pages. It integrates with iManage for legal document management and offers annual-license deployment options, including customer-cloud and on-premises models, for teams that need the underlying models running inside their own infrastructure.

Products & Services

Medical Records OCR

Multi-format document processing with intelligent routing across scanned PDFs, handwritten notes, and low-quality images through a multi-model OCR pipeline.

Key Features

Automatic routing across document quality types
Handles handwritten and low-quality scanned pages
Deduplication of repeated pages for per-page pricing

Target Users: Claims adjusters, TPAs, legal case teams

Medical Imaging Review

DICOM-native ingestion with an integrated PACS viewer and 3D reconstruction, so reviewers work directly with imaging studies instead of static exports.

Key Features

DICOM-native file support
Integrated PACS viewer
3D reconstruction of imaging studies

Target Users: IME/QME physicians, claims examiners

Medical Chronology and Q&A

Auto-extracted clinical timelines with source-synchronized entries, plus plain-English question answering across an entire case file. Every timeline entry and answer cites the originating page or imaging slice.

Key Features

Auto-generated clinical chronologies
Case-wide natural-language Q&A
Source citation on every generated statement

Target Users: Claims adjusters, underwriters, attorneys

Medical Summary Reports and Case Outcome Benchmarks

Template-based, attested report generation for chronologies, case summaries, billing reviews, and demand-package drafts, paired with evidence-derived value ranges from comparable cases for claims and settlement benchmarking.

Key Features

Template-based attested report drafting
Billing review and demand-package templates
Comparable-case outcome benchmarking

Target Users: Claims adjusters, underwriters, legal case teams

At a Glance

Founded: 2026
Headquarters: Falls Church, Virginia, USA
Employees: 1-10
Funding: Bootstrapped

Category & Focus

Category: Claims Technology
Subcategories: Medical Record Review AI Document Processing (OCR) Claims Integrity Medical Imaging Review
Insurance Verticals: Workers Compensation Life & Annuity P&C Commercial
Target Customers: Carriers, TPAs