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Vitraya

Vitraya offers an AI‑driven platform that automates healthcare claim extraction, validation, and adjudication while detecting fraud with machine‑learning precision. Its modular, open‑standard architecture integrates Policy Markup Language and Health Claim Exchange to enable real‑time policy enforcement and seamless data exchange for insurers, hospitals, and TPAs, delivering faster settlements and reduced payout costs.

Delhi, IndiaFounded 2019973K+ followers
Updated 2 months ago

Funding

$5M 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.

3OSV
Funding rounds are not available yet.

Founders

Product

Problem

Healthcare insurers and hospitals face slow, error‑prone claim adjudication and high exposure to fraud and abuse, leading to delayed payouts, increased costs, and loss of trust among patients and providers.

Solution

Vitraya provides an AI‑driven claims processing platform that automates data extraction, validation, and adjudication across the entire health insurance workflow. Machine‑learning models detect fraudulent patterns and abnormal claim behavior with high precision, while rule‑based engines enforce policy compliance in real time. The system integrates open standards such as the Policy Markup Language (PML) and Health Claim Exchange (HCX) to enable seamless data exchange between insurers, hospitals, and payers. Claims are routed through a modular suite of components that can be deployed individually or as an end‑to‑end solution, delivering faster settlement times and up to 12‑15% reduction in payout amounts. Results and analytics are presented through secure dashboards and APIs for easy consumption by existing enterprise systems.

Target Audience

Primary customers are health insurers, hospital networks, and third‑party administrators that process large volumes of medical claims and require automated fraud prevention and faster settlement.

Features

  • AI/ML engine for automated fraud detection and anomaly scoring
  • Real‑time policy validation using open‑source Policy Markup Language (PML)
  • Scalable, modular architecture allowing selective deployment of claim intake, verification, and settlement modules
  • Integration with Health Claim Exchange (HCX) standards for interoperable data sharing
  • Secure cloud‑based analytics dashboard with KPI tracking and payout optimization insights
  • API and FHIR‑compatible interfaces for seamless connection to insurer and hospital IT systems
This profile is AI-generated and may contain inaccuracies.