Pilotbird provides P&C insurance teams with lifestyle analytics derived from open-source social data to evaluate and detect ineligible claims. This technology generates actionable insights, improving fraud detection rates and reducing false positives for workers' compensation, disability, auto, and long-term care lines. The platform offers fast turnaround times to minimize litigation risk by furnishing adjusters with evidence-based intelligence.
Funding
Funding not disclosed
Founders
Product
Problem
Insurance companies face challenges in accurately assessing risk, detecting fraudulent claims, and effectively engaging with customers due to limited data on policyholders' lifestyles. Traditional underwriting and claims processes often rely on incomplete or outdated information, leading to inaccurate risk scoring and increased financial losses.
Solution
Pilotbird offers a suite of analytics products that leverage social data points to provide insurance companies with enhanced insights into policyholders' lifestyles. By analyzing publicly available social data, Pilotbird's Context-Aware A.I. technology generates actionable intelligence for more precise risk scoring, improved customer engagement, and proactive fraud detection. The platform integrates seamlessly into existing insurance workflows, enabling data-driven decision-making across the insurance value chain, from underwriting to claims processing.
Target Audience
Pilotbird primarily targets Life & Health and Property & Casualty (P&C) insurance companies seeking to improve risk assessment, customer engagement, and fraud detection through advanced data analytics.
Features
- **Pilotbird Lifestyle Risk Scoring:** Increases the precision of underwriting by providing a comprehensive lifestyle risk score for each policyholder.
- **Pilotbird Engage:** Enables targeted customer engagement strategies based on lifestyle analytics, improving customer retention and cross-selling opportunities.
- **Pilotbird Revocation:** Detects fraudulent claims by applying social data validation techniques, reducing financial leakage and improving claims accuracy.
- **Context-Aware A.I. Technology:** Leverages advanced machine learning algorithms to analyze social data points and generate actionable lifestyle insights.
- Easy integration with existing insurance systems through APIs.