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Head-to-head · Insurance Analytics Software

Verisk Insurance Analytics vs hyperexponential hx

  • Updated Sep 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Verisk Insurance Analytics #5 in Insurance Analytics Software 9.0/10 Pricing on request ✓ 1 of 1 features Contact Verisk
hyperexponential hx #8 in Insurance Analytics Software 8.6/10 Pricing on request ✓ 1 of 1 features Visit site

Verisk Insurance Analytics leads on 0 checks, hyperexponential hx on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreVerisk Insurance Analytics · 9.0/10

Verisk Insurance Analytics scores higher on our rubric for insurance analytics software: 9.0 against 8.6 out of 10; our editors rank them #5 and #8.

On deployment, Verisk Insurance Analytics gives you Hybrid where hyperexponential hx offers Cloud.

Verisk Insurance Analytics is the better fit for insurers modeling catastrophe risk across portfolios. hyperexponential hx is the better fit for commercial insurers modernizing pricing workflows.

  • Verisk Insurance Analytics fits best

    Insurers modeling catastrophe risk across portfolios

  • hyperexponential hx fits best

    Commercial insurers modernizing pricing workflows

Advertiser disclosure: iTechGuides is reader-supported. We may earn a commission when you click some links. It never changes our verdict. How we rank.

Side by side

Feature Verisk Insurance Analytics 9.0/10 Visit ↗ hyperexponential hx 8.6/10 Visit ↗
At a glance
Editor score 9.0 8.6
Ranking #5 in Insurance Analytics Software #8 in Insurance Analytics Software
Best for Insurers modeling catastrophe risk across portfolios Commercial insurers modernizing pricing workflows
Pricing model Paid Paid
Starting price Not published Not published
Free plan Not published —
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Windows, Web Web
Support Docs Email
Integrations 1 integrations 9 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Verisk Insurance Analytics 1/1 · hyperexponential hx 1/1
Catastrophe modeling ✓ ✓
Specs
Analytics areas underwriting, claims, fraud detection, market analysis, catastrophe risk assessment Submission triage; pricing and rating; risk assessment; renewals; portfolio monitoring and analysis; reinsurance management; actuarial modeling
Modeling methods catastrophe loss modeling; geospatial deterministic risk analysis; custom non-Verisk models Python-based actuarial calculations; quota-share, excess-of-loss, and property catastrophe treaty models; loss-curve benchmarking; what-if and scenario analysis
Deployment Hybrid Cloud
Data connectors exposure data from files and databases; raster and vector GIS layers; web map layers; external contract and reinsurance data APIs; files; databases; S&P Global Geopolitical Risk; Companies House API; HazardHub; AddressCloud; Moody’s RMS; AIR Worldwide Touchstone; CyberCube; Slack; Microsoft Teams; email systems
Output formats CSV, RPX, PDF Not published
Our review
Pros
  • Models catastrophe loss for individual risks, policies, and portfolios
  • Analyzes exposure with geospatial, hazard, loss, and reinsurance tools
  • Imports external models and exports data, results, and reports
  • Build rating calculations in Python or with low-code configuration.
  • Govern pricing logic with versioning, release governance, and audit trails.
  • Connect underwriting and portfolio analysis with catastrophe-model integrations.
Cons
  • A broad portfolio rather than one standalone application
  • Sold through contact with sales rather than a published price
  • Documented support channel is limited to documentation
  • Pricing is sales-led, with prospective customers directed to request a demo.
  • Deployment is cloud-based, which may not fit teams seeking another deployment model.
  • Its focus is commercial P&C, reinsurers, and managing general agents.
Our verdict

Verisk Insurance Analytics is a portfolio of data, analytics, and software for insurers and reinsurers, spanning underwriting, claims, fraud detection, market analysis, and catastrophe risk assessment. Touchstone is the documented example…

Read the review →

Commercial insurers, reinsurers, and managing general agents can use hyperexponential hx to manage underwriting and analytics workflows for property and casualty risks. Its scope runs from submission triage and risk assessment through…

Read the review →
  1. Verisk Insurance AnalyticsInsurance Analytics Software 9.0Pricing on request
  2. hyperexponential hxInsurance Analytics Software 8.6Pricing on request

Strengths and trade-offs

  • Verisk Insurance Analytics — where it wins

    • Models catastrophe loss for individual risks, policies, and portfolios
    • Analyzes exposure with geospatial, hazard, loss, and reinsurance tools
    • Imports external models and exports data, results, and reports

    Where it doesn't

    • A broad portfolio rather than one standalone application
    • Sold through contact with sales rather than a published price
    • Documented support channel is limited to documentation

  • hyperexponential hx — where it wins

    • Build rating calculations in Python or with low-code configuration.
    • Govern pricing logic with versioning, release governance, and audit trails.
    • Connect underwriting and portfolio analysis with catastrophe-model integrations.

    Where it doesn't

    • Pricing is sales-led, with prospective customers directed to request a demo.
    • Deployment is cloud-based, which may not fit teams seeking another deployment model.
    • Its focus is commercial P&C, reinsurers, and managing general agents.
  • Verisk Insurance Analytics9.0/10 · Pricing on request

    A broad insurance analytics portfolio with Touchstone for catastrophe and exposure modeling.

    Contact VeriskFull verdict →
  • hyperexponential hx8.6/10 · Pricing on request

    A governed pricing and portfolio platform for commercial insurers, reinsurers, and MGAs.

    Visit siteFull verdict →

More comparisons

All insurance analytics software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

Last updated · How we research and update