WTW Radar
End-to-end actuarial pricing, modeling, and underwriting workbench. Includes Emblem (predictive modeling), Radar Base (scenario analysis), Radar Live (real-time rate deployment), and Radar Workbench (commercial underwriting portal). Used in P&C (auto, home, commercial) by major carriers. Launched as modern successor to legacy actuarial workflows; Radar 5 (2025) adds generative AI.
www.wtwco.com/en-us/solutions/products/radar ↗Score
- Traction (named carrier deployments)2 carrier deployment(s) with public source.
- 1/5
- Maturity (years since founding)Founding year not publicly documented.
- n/a
- Coverage (insurance lines supported)4 line(s) supported: auto, home, commercial, life.
- 4/5
- Analyst recognition (Celent / Gartner / Forrester / Everest / ISG)2 mention(s).
- 2/5
What it does
WTW Radar is the modern-rung actuarial and pricing workbench from Willis Towers Watson, spanning modeling, scenario analysis, rate deployment, and commercial underwriting. Over 30 years of investment in insurance analytics backs the platform, which is now distributed globally by WTW's Insurance Consulting & Technology (ICT) division.
Product Architecture. Radar is modular. Emblem is the predictive-modeling engine (GLM automation). Radar Base is the scenario-analysis and portfolio-modeling environment. Radar Live is the real-time rate-delivery component, integrated with policy systems. Radar Workbench, launched April 2021, is the commercial underwriting portal where case underwriters, portfolio managers, and pricing experts collaborate on underwriting decisions and portfolio steering.
Modern Generation (Radar 5, October 2025). The latest version introduced generative-AI capabilities (including Radar Vision for natural-language data analysis), native cloud infrastructure (Azure, Databricks, Snowflake integration), and automated machine-learning GLM development with interpretability. These features position Radar 5 as a bridge between modern and AI-native rungs, though the core positioning remains the actuarial workbench, not the pure model-building automation that defines Akur8.
Competitive Positioning. Radar competes indirectly with Akur8 in the model-building space (Emblem vs. Akur8's transparent GLM automation) and with Earnix in the deployment space (Radar Live vs. real-time pricing decisioning). Unlike Akur8, which focuses on actuarial-transparency and automated model selection, Radar is a complete actuarial operating platform with deep portfolio-management and underwriting tools. Unlike Earnix, which serves high-volume personal lines with embedded decisioning logic, Radar serves both personal and commercial lines with judgment-intensive underwriting workstations.
Named Deployments. IMT Insurance (US, ~$300M DWP, 2021) implemented Radar Live across all P&C lines to centralize actuarial control of pricing independent of IT. Sompo Group (Japan, 2025) announced a global partnership, with Sompo Direct using Radar for auto pricing and expansion planned to Turkey and Southeast Asia. A 2021 case study cited Radar Live adoption by a regional UK insurer.
Historical Context. Radar evolved from Watson Wyatt's legacy actuarial platforms. WTW continues to support Emblem (earlier predictive-modeling tool) alongside Radar, positioning them as complementary for carriers in earlier modernization stages. The company is 30+ years into insurance analytics and has positioned Radar as the modern rung: professional actuaries leaving SAS/R notebooks, moving to a vendor platform with built-in governance, collaboration, and deployment capabilities.
Analyst Presence. Radar appears in Celent's Stand-Alone Rating Engines solutionscape (2023). Trade-press coverage is concentrated in Reinsurance News and Insurance Journal, with less presence in major Gartner or Forrester quadrants compared to Earnix or Akur8.
What It Does Not Do. Unlike Akur8, Radar does not automate the statistical model-building loop; actuaries still design GLM specifications, though Emblem can assist with variable selection and regularization. Unlike AI-native platforms, Radar remains a professional-services-intensive deployment, with pricing logic, integration scope, and underwriting rules requiring actuarial and consulting input.
Named deployments
Known limitations
- Radar suite pricing and integration scopes are highly modular; consultancy lock-in reported as concern for deployments outside standard Radar Live configurations, with custom implementations requiring engagement of WTW consulting teams. (Hyperexponential)
- WTW Radar's proprietary modeling languages and GLM engines create vendor dependency; transferable skills are limited compared to Python or R-native platforms used by competitors like Akur8. (Hyperexponential)