
xCures® operates an AI-assisted healthcare data platform that reduces the operational burden of working with complex medical records. The platform accepts structured and unstructured medical records gathered across multiple sources (QHIN, Carequality, TEFCA’s IAS, client-owned data, and legacy systems). After ingestion, the platform prepares the records for further interrogation and interaction by cleaning, de-duplicating, classifying, standardizing, and enriching them with metadata. xCures’ validated information-extraction methods can produce decision-ready intelligence about each patient. The output is seamlessly delivered to client tools and workflows through the xCures Platform UI, standard REST API integrations, and via flexible export and sync options. The platform is designed for speed and flexibility, so users can: • Access configurable patient checklists • Easily find records or documents of interest • Review patient medical histories • Access cohort and summary data With every data element linked to its source document, users can always trust and verify the output. The platform serves as a semantic layer for healthcare data: built for interoperability, grounded in verifiable sources, and designed to present the right information to the right person at the right time.

xCures® operates an AI-assisted healthcare data platform that reduces the operational burden of working with complex medical records. The platform accepts structured and unstructured medical records gathered across multiple sources (QHIN, Carequality, TEFCA’s IAS, client-owned data, and legacy systems). After ingestion, the platform prepares the records for further interrogation and interaction by cleaning, de-duplicating, classifying, standardizing, and enriching them with metadata. xCures’ validated information-extraction methods can produce decision-ready intelligence about each patient. The output is seamlessly delivered to client tools and workflows through the xCures Platform UI, standard REST API integrations, and via flexible export and sync options. The platform is designed for speed and flexibility, so users can: • Access configurable patient checklists • Easily find records or documents of interest • Review patient medical histories • Access cohort and summary data With every data element linked to its source document, users can always trust and verify the output. The platform serves as a semantic layer for healthcare data: built for interoperability, grounded in verifiable sources, and designed to present the right information to the right person at the right time.
Founded: 2018
Headquarters: Oakland, CA
Product: AI-assisted platform that ingests and semantically structures medical records to produce decision-ready clinical intelligence
Employee count: 45
Notable certifications: HITRUST e1 Certification
Recent financing: Convertible Note announced Dec 1, 2023
Clinical data extraction, interoperability, and preparation of medical records for downstream clinical and analytic use.
2018
Healthcare AI / Health IT
Most recent disclosed round
“Investors include Portfolia, CommerceNet, and HealthTech Capital”
| Company |
|---|