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Praedicat, Inc.

Casualty catastrophe modeling and emerging liability risk analytics for insurers and reinsurers.

Data & Analytics Established Acquired
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Overview

Praedicat, Inc. is the world's first casualty catastrophe modeling company, founded in 2012 as a joint venture between RAND Corporation and Risk Management Solutions (RMS). The company pioneered the use of natural language processing and machine learning to mine peer-reviewed scientific literature at scale, identifying and quantifying emerging liability risks -- such as PFAS, heavy metals, and climate-related liabilities -- before they reach the courts.

Praedicat built probabilistic casualty catastrophe models and analytics platforms that enable P&C insurers and reinsurers to understand, price, and manage long-tail liability exposures. Its flagship CoMeta platform provides forward-looking casualty risk analysis by synthesizing scientific research, legal scholarship, litigation intelligence, and firmographic data across hundreds of emerging liability scenarios.

In September 2024, Moody's Corporation acquired Praedicat, integrating its casualty modeling suite into Moody's Intelligent Risk Platform. Post-acquisition, Praedicat's capabilities are offered as Moody's casualty insurance analytics solutions under the CoMeta brand.

Products & Services

CoMeta Platform

Cloud-based casualty catastrophe modeling system that synthesizes scientific evidence, litigation data, and firmographic data to provide forward-looking liability risk analysis. Helps (re)insurers understand and quantify systemic liability risk across more than 300 emerging liability scenarios.

Key Features

  • Emerging risk horizon scanning across 300+ liability perils (PFAS, climate, heavy metals, paraquat, and more)
  • Company-level underwriting intelligence linking emerging perils to named companies, products, and industries via firmographic data
  • Real-time US federal and state court litigation monitoring and defendant matching
  • Climate liability risk scoring and three-dimensional climate risk analysis
  • Probabilistic loss distribution modeling for long-tail casualty scenarios

Target Users: P&C underwriters, reinsurance actuaries, risk managers

Nekomodel X

Next-generation probabilistic casualty catastrophe model designed for exposure-based pricing and reserving of long-tail liabilities.

Key Features

  • Probabilistic scenario construction for casualty CAT events
  • Supports pricing and reserving workflows for long-tail lines
  • Built for integration with enterprise risk platforms

Target Users: Reinsurers, specialty lines carriers

Oortfolio

Portfolio-level casualty catastrophe accumulation management platform for analyzing and managing exposure concentrations across an insured portfolio.

Key Features

  • Portfolio aggregation and accumulation analysis
  • Casualty CAT exposure management
  • Supports strategic portfolio steering decisions

Target Users: Portfolio managers, reinsurance buyers

Litigation Tracking

Real-time monitoring of US federal and state court filings to surface newly filed complaints and track mass tort development.

Key Features

  • Continuous monitoring of court filing activity
  • Defendant matching to insured entities
  • Early warning signals for emerging mass torts

Target Users: Long-tail casualty underwriters, claims teams

At a Glance

Founded
2012
Headquarters
Culver City, CA (Los Angeles area)
Employees
11-50
Funding
Acquired

Category & Focus

Category
Data & Analytics
Subcategories
Casualty Catastrophe Modeling Emerging Liability Risk Analytics Litigation Intelligence
Insurance Verticals
P&C Commercial Specialty/E&S Reinsurance
Target Customers
Carriers, Reinsurers

Customers

  • Sompo (Japanese insurance conglomerate)
  • Sentry Insurance (mutual insurance company)
  • Convex Group (specialty insurance underwriter)

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Last updated: 2026-06-05