Azra AI offers an enterprise platform that ingests multimodal data from EHRs, imaging reports, and physician notes, applying clinically trained AI to turn unstructured information into structured, actionable intelligence. The solution automates high‑risk patient identification and routes cases through closed‑loop workflows, enabling coordinated care, real‑time analytics, and measurable improvements in revenue and treatment timelines for large health systems.
Funding
$7.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
FVSCFounders
Product
Problem
Healthcare systems often struggle with fragmented clinical data, manual case-finding, and inconsistent follow‑up of high‑risk patients, leading to delayed diagnoses, inefficient care coordination, and missed revenue opportunities.
Solution
Azra AI provides an enterprise platform that ingests multimodal data from electronic health records, imaging reports, and physician notes, then applies clinically trained, purpose‑built AI to generate structured, actionable intelligence. The platform automates identification of high‑risk oncology, radiology incidental findings, and cardiac patients, routing them into closed‑loop workflows that guide care teams from detection through treatment completion. Real‑time reporting and analytics make the impact of these interventions visible, supporting coordinated care, improved patient retention, and measurable financial performance. Integration with leading EHRs enables seamless deployment across existing clinical infrastructure without disrupting provider workflows.
Target Audience
Primary customers are large health systems and hospital networks seeking to improve oncology, radiology, cardiology, and emergency department care coordination, as well as clinical research teams that need accelerated patient identification and trial enrollment.
Features
- Agentic AI that transforms unstructured EHR, imaging, and PDF data into a unified patient intelligence layer
- Automated high‑risk screening for lung, breast, and cardiac conditions with prioritization and routing to appropriate care teams
- Closed‑loop case management for incidental findings, multidisciplinary tumor boards, and emergency‑to‑outpatient continuity
- Clinical trial matching and registry automation that pre‑screens patients and generates compliant reports
- Real‑time dashboards and analytics that quantify net patient revenue, time‑to‑treatment, and patient retention metrics
- Native integration with major EHR systems for bidirectional data flow and workflow orchestration