# Canotera > AI\-powered claims and litigation outcome forecasting for P&C carriers ## At a glance | Field | Value | | --- | --- | | Category | Claims Technology | | Type | Solutions Provider | | Region | EMEA | | Headquarters | Haifa, Israel | | Founded | 2023 | | Stage | Startup | | Employees | 1-10 | | Funding | Pre-Seed | ## Overview Canotera is a claims and litigation forecasting platform for P&C carriers and legal teams. The platform ingests unstructured claim files -- documents, emails, medical records, and expert assessments -- and outputs calibrated outcome forecasts with evidence-backed reasoning. The company is based in Haifa, Israel, with a commercial focus on the US market, initially targeting New York law cases. The platform operates through a three-step pipeline: a large language model parses claim documents into structured features, then separate mathematical models trained on resolved historical cases generate calibrated predictions covering claim lifecycles, settlement probabilities, reserve levels, and litigation risk. A conformal prediction framework produces ranges with mathematical coverage guarantees rather than single point estimates. The system reports 85% accuracy in liability assessment and case outcome prediction. Canotera raised a USD 1.5M pre-seed round in August 2024 led by RUNI Ventures, with participation from In-VENTech, HiCenter Ventures, and the Israel Innovation Authority. The company was co-founded by Yariv Lissauer, a former lawyer and entrepreneur whose prior company Leap was acquired by Endeavor in 2023, alongside CTO Tal Knafo and Head of AI David H. Silver. ## Products & services ### Claims Forecasting Platform Canotera reads claim files and generates structured forecasts of claim lifecycles and outcomes. For each claim, the platform delivers policy analysis with coverage context, comparable case rankings by historical similarity, settlement probability bands, reserve recommendations, and escalation probability scores. **Key features:** - Conformal prediction framework producing calibrated probability ranges with mathematical coverage guarantees - Comparable case engine that identifies similar resolved historical cases to make forecasts traceable and explainable - Seven\-factor pain point analysis covering inflated adjustment costs, social inflation, inconsistent evaluations, resolution uncertainty, nuclear judgments, volatile reserves, and expertise loss - Policy timeline and coverage analysis from uploaded claim documents *Target users:* P&C insurance carriers, claims adjusters, legal teams ### API Integration Canotera provides a REST API enabling carriers to integrate claim forecasting into existing claims management systems at scale. The API accepts uploaded claim documents and returns structured prediction outputs. **Key features:** - Structured predictions based on uploaded claim documents - Designed for batch processing of open claim portfolios - Outputs include settlement probability, reserve recommendations, and escalation risk scores *Target users:* Carrier IT teams, claims operations ### Comparable Case Engine A sub-component of the platform identifies a small set of historically resolved cases most similar to a new claim, providing traceability and supporting human reviewer oversight. Every forecast links to source documents and comparable historical cases. **Key features:** - Relevancy\-ranked comparable case matching - Evidence links back to source documents - Explainable AI output rather than black\-box predictions *Target users:* Claims adjusters, coverage counsel, litigation managers ## Category & focus - Subcategories: Claims analytics, litigation risk, reserve management, settlement prediction - Insurance verticals: P&C Commercial, Specialty/E&S - Target customers: Carriers ## Notable customers - An undisclosed insurance carrier in New York \(first client; referenced in ISRAEL21c coverage, 2024\) ## Links - Website: - Directory profile: - Blog: - Press: - Linkedin: --- *Last updated: 2026\-06\-25*