Product Strategy and Portfolio Profitability

Enhance profitability by uncovering trends, optimizing pricing, and aligning products to evolving risk. 

ValueMomentum integrates actuarial intelligence with advanced analytics to accelerate pricing refinement, enhancing reserving accuracy, and strengthening product competitiveness. 

How we help

Product Performance Insights

Analyze claim, premium, and submission trends to identify high- and low-performing products, enabling targeted product improvements and portfolio optimization. 

Risk Segmentation

Group policies into homogeneous risk tiers using claims and exposure data to support tiered pricing, improve rating accuracy, and strengthen loss ratio performance. 

AI/ML Support for Actuaries

Apply machine learning to claims, premiums, and exposure data to accelerate rate making, enhance reserving accuracy, and support faster product pricing cycles. 

Data Foundation for Actuarial Pricing

Strengthen actuarial pricing by improving data lineage, quality, and model inputs to enhance pricing accuracy and reduce remediation efforts. 

Risk Scores

Generate consistent and quantitative risk scores using claims, hazard, and geospatial data to support more accurate pricing and competitive differentiation. 

Dynamic Pricing

Leverage real-time signals from submissions, claims, and rating data to dynamically adjust premiums, improving loss ratio, revenue growth, and customer retention. 

Together with our platform partners

TESTIMONIALS

Customer Communications
Insurance core systems|webinar speakers|Webinar Clip Deborah Zawisza Onboarding Clip|Tim Hays Webinar clip making the company grow|
AI Automation||AI model based on NLP predicts unique test cases vs duplicates|AI model uses data to learn and predict root cause of new defects|AI uses historical information to identify patterns and recommend sets of test cases|AI model uses data to learn and predict root cause of new defects|AI uses historical information to identify patterns and recommend sets of test cases|AI model uses data to learn and predict root cause of new defects|AI uses historical information to identify patterns and recommend sets of test cases|AI in Software Testing|Identifying Defect Root Cause|Identifying Duplicate Test Cases|Predicting Test Cases That Will Find A Bug

Insights to improve your UW process

Our solutions help clients create seamless customer experiences, leading to better CX

Accelerating product design

Our expert insurance technology teams have the expertise to implement the right migration process

Multi-state product expansion

React faster to customer requirements, and regulatory changes
INSIGHTS

Stay ahead with P&C-focused thought leadership