Kindbody
Reinventing fertility and family-building care through proprietary technology and high-touch clinical excellence.
AI-driven liability assessment and subrogation intelligence for insurance and legal professionals.
Open Liability represents a specialized vertical of the 2026 AI landscape, specifically targeting the insurance claims lifecycle. The platform utilizes advanced transformer models fine-tuned on multi-jurisdictional legal codes and historical settlement data to perform high-fidelity liability determinations. Architecturally, Open Liability employs a proprietary Reasoning Engine that moves beyond simple text extraction; it performs temporal event sequencing from police reports, witness statements, and dashcam transcripts to establish fault percentages. This approach significantly reduces Loss Adjustment Expense (LAE) by automating the initial 80% of liability investigation. Positioned as an enterprise-grade middleware, it integrates directly into core claim systems like Guidewire and Duck Creek via a high-performance REST API. For 2026, the tool has expanded into predictive litigation risk, alerting adjusters when a claim exhibits characteristics of high-value plaintiff litigation. It is a critical component for carriers seeking to maintain competitive combined ratios through automated, data-backed subrogation identification and accurate initial fault assessment.
Uses NLP to extract timestamps and event markers from multiple sources to create a unified chronological timeline of a loss event.
Reinventing fertility and family-building care through proprietary technology and high-touch clinical excellence.
Predictive medical data and clinical insights for streamlined enterprise underwriting.
Agentic risk intelligence and automated underwriting for global real estate portfolios.
The intelligent property inspection platform for high-velocity real estate operations.
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A dynamic rule engine that applies state-specific statutes (e.g., California's Pure Comparative Negligence) to the liability score.
Statistically compares police reports against claimant statements to identify fraud indicators or factual discrepancies.
Proprietary OCR model trained specifically on physician notes and handwritten officer diagrams.
AI ranks claims based on the probability of successful recovery from third parties.
Simulates impact points and vehicle dynamics based on text descriptions to verify physical possibility.
Scans attorney involvement and historical settlement patterns to predict litigation likelihood.
Determining fault when three parties provide conflicting versions of a red-light violation.
Registry Updated:2/7/2026
Generate liability rationale report
Analyzing commercial dashcam footage alongside driver logs to defend against inflated claims.
Identifying recovery opportunities against third-party assets in non-fault UM claims.