WTW has released a new version of its RiskAgility Financial Modeller (FM) platform, introducing advanced graphics processing unit (GPU) execution to help life and health insurers perform complex financial modelling faster, more efficiently and at lower cost.

The latest release extends the capabilities of RiskAgility FM’s Gen-2 modelling engine by adding GPU execution across both the core platform and vGrid, WTW’s scalable on-demand computing environment. The enhancement enables insurers to choose between GPU and CPU processing depending on the requirements of each modelling workload.

Faster Modelling and Lower Costs

According to WTW, GPU acceleration significantly improves the performance of high-volume actuarial calculations while reducing computing costs.

Early testing suggests the technology can deliver cost savings of up to 100 times in certain modelling scenarios, allowing insurers to run large-scale financial projections more efficiently while improving the speed of decision-making.

The platform is designed to support financial and capital modelling across life and health insurance businesses, enabling users to generate insights more quickly while optimising infrastructure costs.

AI and High-Performance Computing

The GPU enhancements complement RiskAgility FM’s existing artificial intelligence capabilities, allowing insurers to make greater use of AI alongside advanced actuarial modelling.

By combining GPU acceleration, AI functionality and scalable cloud computing within a single governed platform, insurers can build, test and analyse financial models more interactively.

The company says this enables pricing teams to develop products in near real time while giving executives faster access to scenario analysis and business insights.

Flexible Execution Environment

Users can now select either GPU or CPU execution depending on the complexity and characteristics of individual models, providing greater flexibility across different actuarial and financial modelling requirements.

The unified approach is intended to reduce turnaround times while improving accessibility for users across pricing, finance, risk and capital management functions.

Leadership Perspective

Mark Brown, Global Life Lead for Insurance Consulting and Technology at WTW, said the addition of GPU support builds on the performance improvements already delivered through the platform’s Gen-2 engine.

“RiskAgility FM has already transformed the economics of actuarial modelling through our Gen-2 engine. GPU capabilities now take that further, helping insurers optimise each model and accelerate high-volume projections with greater efficiency. Early testing has implied up to 100x cost savings in some situations.”

Brown added that the combination of GPU acceleration and AI represents more than simply improved processing speed.

“This is about more than speed. By combining GPU acceleration with our first-to-market AI capabilities, we are enabling a fundamentally different way of working. Pricing teams can develop products in near real time, while executives can directly interrogate models to explore the business outcomes of their decisions.”

The latest release reflects the growing adoption of high-performance computing and AI within actuarial modelling as life insurers seek faster, more cost-effective ways to support pricing, capital management and strategic decision-making.