Arvo provides an Artificial Intelligence platform that analyzes complex patterns in healthcare claims data to prevent fraud, errors, and waste. Utilizing advanced Machine Learning on extensive claims history, the system ensures transaction integrity, regulatory compliance, and cost-effectiveness for health operators. This results in immediate, incremental economic savings through precise automated claim critiques and enhanced operational efficiency.
Funding
$7.5M 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.
Founders
Product
Problem
Healthcare payers face significant financial losses due to fraud, errors, and waste in claims processing, often resulting from complex patterns and anomalies that are difficult to detect with conventional methods. Improper reimbursements and undetected fraudulent activities contribute to substantial financial burdens for healthcare providers and insurers.
Solution
Arvo provides an AI-powered platform designed to identify and prevent fraud, errors, and waste within healthcare transactions. By leveraging advanced AI and machine learning technologies, Arvo analyzes healthcare claims data to detect complex patterns and anomalies that are typically missed by traditional methods. The platform offers a layered approach to intelligence, ensuring compliance, relevance, and accuracy in claims reviews, while also enhancing operational efficiency. Arvo's smart agents generate automated reviews and additional savings, providing a comprehensive solution for payment integrity and fraud prevention.
Target Audience
Arvo primarily serves healthcare payers, including health insurance operators, seeking to minimize financial losses from fraud, errors, and waste in healthcare transactions.
Features
- AI and Machine Learning algorithms analyze historical data and a database of over R$100 billion in claims to identify anomalies.
- Smart Agents for TISS data: technical relevance, regulatory compliance, and cost-effectiveness analysis.
- Smart Agents for images: fraud identification, physical-digital consistency checks, and information validation.
- Rapid and flexible implementation, integrating with existing ERP or other systems.
- Continuous enrichment of AI models with market data to improve accuracy and detection capabilities.
- Automated generation of high-quality claim edits.
- Identification of suspicious fraud cases for management and monitoring.