Pentavere provides an AI‑driven patient identification platform that matches individuals to approved therapies and clinical interventions, helping improve treatment outcomes.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare providers and pharmaceutical companies struggle to identify patients who are eligible for approved therapies because relevant clinical information is buried in unstructured electronic medical records, requiring time‑consuming manual chart review.
Solution
Pentavere’s DARWEN™ AI engine automatically extracts and normalizes clinical data from unstructured EMRs to create searchable, real‑world patient cohorts. Users can query these cohorts by disease, stage, biomarkers, or treatment history to pinpoint individuals who qualify for specific approved medications or interventions. The platform delivers results quickly, reducing reliance on manual abstraction and enabling faster enrollment in clinical programs or targeted therapy initiatives. By providing accurate, up‑to‑date patient identification, Pentavere helps improve treatment uptake and outcomes while supporting real‑world evidence generation for pharma partners.
Target Audience
Primary customers are pharmaceutical companies and healthcare organizations that need to identify eligible patients for approved therapies, clinical trials, or real‑world evidence studies.
Features
- AI‑driven natural language processing that extracts diagnoses, lab results, imaging findings, and treatment details from free‑text EMR notes
- Automated cohort building with filters for disease stage, biomarkers, comorbidities, and prior therapies
- Real‑time query interface delivering instant patient lists without manual chart review
- Validation and accuracy reporting published in peer‑reviewed journals and presented at major conferences
- Secure, HIPAA‑compliant data handling with role‑based access controls for healthcare and pharma users