Clarus Ai provides AI copilots through the Clarus One platform to enhance commercial insurance underwriting and claims fraud detection. DeepRisk uses Generative AI to help underwriters extract insights from unstructured data, improving speed and consistency in risk assessment. FraudGuard leverages machine learning to flag suspicious claims early, accelerating processing and improving fraud detection accuracy for claims handlers.
Funding
Funding not disclosed
Founders
Product
Problem
Commercial insurance underwriting and claims processing are often hindered by the manual analysis of extensive unstructured data, leading to slower decision-making, increased error rates, and missed opportunities for fraud detection. This inefficiency impacts risk assessment accuracy and the overall speed of business operations.
Solution
Clarus Ai provides the Clarus One platform, an AI-powered solution designed to streamline commercial insurance workflows. The platform integrates diverse data sources and deploys specialized AI copilots to enhance underwriting accuracy and claims fraud detection. Clarus DeepRisk assists underwriters by processing unstructured data, offering insights for risk comparison, and embedding underwriting logic to improve decision-making speed and consistency. Concurrently, Clarus FraudGuard leverages machine learning models trained on historical data to identify suspicious claims early, accelerating processing and improving fraud detection rates for claims handlers.
Target Audience
The primary customers are commercial insurance carriers, specifically underwriting teams and claims departments seeking to improve efficiency, accuracy, and fraud detection capabilities.
Features
- **Clarus DeepRisk:** Generative AI copilot for commercial property underwriting, focused on extracting insights from unstructured data.
- **Clarus FraudGuard:** AI copilot utilizing machine learning on historical data to detect potentially fraudulent insurance claims.
- **Multi-source Data Integration:** Aggregates structured and unstructured data, including documents and images, for a comprehensive risk analysis.
- **Automated Data Handling:** Streamlines workflows by automating data extraction and processing, reducing manual effort and errors.
- **AI-driven Decision Support:** Provides actionable suggestions, risk comparisons, and embedded underwriting guidelines to inform user decisions.
- **Graph Analysis:** Uncovers complex fraud patterns and interconnections within claims data.
- **Flexible Deployment:** Designed to integrate within existing IT infrastructure for seamless adoption.