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Head-to-head · Insurance Analytics Software

WTW Igloo vs hyperexponential hx

  • Updated Sep 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score WTW Igloo #7 in Insurance Analytics Software 8.8/10 Pricing on request ✓ 1 of 1 features Visit WTW
hyperexponential hx #8 in Insurance Analytics Software 8.6/10 Pricing on request ✓ 1 of 1 features Visit site

WTW Igloo 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 scoreWTW Igloo · 8.8/10

WTW Igloo scores higher on our rubric for insurance analytics software: 8.8 against 8.6 out of 10; our editors rank them #7 and #8.

WTW Igloo is the better fit for insurers managing capital, solvency and profitability. hyperexponential hx is the better fit for commercial insurers modernizing pricing workflows.

  • WTW Igloo fits best

    Insurers managing capital, solvency and profitability

  • 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 WTW Igloo 8.8/10 Visit ↗ hyperexponential hx 8.6/10 Visit ↗
At a glance
Editor score 8.8 8.6
Ranking #7 in Insurance Analytics Software #8 in Insurance Analytics Software
Best for Insurers managing capital, solvency and profitability Commercial insurers modernizing pricing workflows
Pricing model Paid Paid
Starting price Not published Not published
Free plan Not published —
Free trial — —
Deployment Cloud, Desktop Cloud
Platforms Web, Windows Web
Support Email · 24/7 Email
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features WTW Igloo 1/1 · hyperexponential hx 1/1
Catastrophe modeling ✓ ✓
Specs
Analytics areas Capital and risk modeling; portfolio profitability and risk; reinsurance and exposure limits; Solvency II calculations; capital projections; regulatory reporting Submission triage; pricing and rating; risk assessment; renewals; portfolio monitoring and analysis; reinsurance management; actuarial modeling
Modeling methods Solvency II standard formula; configurable internal and partial internal capital models; scenario and sensitivity analysis Python-based actuarial calculations; quota-share, excess-of-loss, and property catastrophe treaty models; loss-curve benchmarking; what-if and scenario analysis
Deployment Not published Cloud
Data connectors Direct connection to corporate data systems 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 Solvency Capital Requirement and Minimum Capital Requirement Quantitative Reporting Templates (QRTs); detailed reports Not published
Our review
Pros
  • Combines portfolio profitability, risk and capital-efficiency analysis.
  • Supports configurable capital models, scenario testing and sensitivity analysis.
  • Includes Solvency II calculations and regulatory QRT reporting templates.
  • 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
  • Focuses on insurance capital and risk analytics rather than general-purpose analytics.
  • Pricing requires contacting sales.
  • Desktop development environment may not suit teams seeking a cloud-only setup.
  • 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

WTW Igloo is a capital and risk analytics platform for property and casualty insurers. It is aimed at teams assessing portfolio profitability, risk and capital efficiency, planning capital needs, and handling reinsurance, exposure limits…

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. WTW IglooInsurance Analytics Software 8.8Pricing on request
  2. hyperexponential hxInsurance Analytics Software 8.6Pricing on request

Strengths and trade-offs

  • WTW Igloo — where it wins

    • Combines portfolio profitability, risk and capital-efficiency analysis.
    • Supports configurable capital models, scenario testing and sensitivity analysis.
    • Includes Solvency II calculations and regulatory QRT reporting templates.

    Where it doesn't

    • Focuses on insurance capital and risk analytics rather than general-purpose analytics.
    • Pricing requires contacting sales.
    • Desktop development environment may not suit teams seeking a cloud-only setup.

  • 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.
  • WTW Igloo8.8/10 · Pricing on request

    Capital, profitability and Solvency II analysis with cloud and desktop deployment.

    Visit WTWFull 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