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Verisk

The startup offers a cloud‑native analytics platform that aggregates proprietary loss, exposure, and weather data and applies machine‑learning models to produce risk scores for underwriting, pricing, and claims triage. Its open APIs and compliance‑ready dashboards integrate with policy‑admin systems, automate catastrophe modeling, and generate regulatory reports, reducing manual effort and accelerating data‑driven decisions.

Jersey City, United StatesFounded 19715.7K50K+ followers
Updated 3 months ago

Funding

$1.5B raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Insurance carriers must evaluate complex risk exposures, price policies accurately, and process claims efficiently, yet they often rely on fragmented data sources, manual underwriting workflows, and legacy reporting tools. This leads to slower decision‑making, higher premium leakage, and regulatory compliance challenges across property‑casualty, life, annuities, and reinsurance lines.

Solution

The company delivers a unified analytics platform that ingests proprietary loss, exposure, and weather data, then applies machine‑learning models to generate actionable risk scores for underwriting and rating. Its cloud‑native services automate claims triage, integrate catastrophe‑modeling simulations, and provide real‑time portfolio dashboards that meet regulator‑required reporting formats. By exposing RESTful APIs and industry‑standard data schemas, insurers can embed these insights directly into policy‑admin systems, enabling faster, data‑driven decisions while reducing operational overhead.

Target Audience

Primary customers are property‑casualty insurers, life and annuity carriers, reinsurers, and specialty market underwriters seeking to modernize underwriting, rating, and claims operations.

Features

  • Comprehensive property‑casualty, life, annuity, and reinsurance data sets enriched with geospatial, climate, and exposure analytics.
  • AI‑powered underwriting engine that produces point‑of‑sale risk grades and dynamic pricing recommendations.
  • Automated claims investigation workflow with image/video parsing, natural‑language extraction, and weather‑impact validation.
  • Catastrophe risk modeling suite that runs stochastic event simulations and delivers loss‑exposure maps in minutes.
  • Portfolio‑assessment analytics dashboard with drill‑down loss ratios, trend visualizations, and compliance alerts.
  • Open APIs supporting ACORD, FHIR, and ISO data standards for seamless integration with policy‑admin and rating systems.
  • Regulatory reporting automation that formats data to meet state, federal, and international filing requirements.
  • Scalable cloud infrastructure with role‑based access control and end‑to‑end encryption for HIPAA‑ and GDPR‑compliant data handling.
This profile is AI-generated and may contain inaccuracies.