HyperCal
HyperCal provides an AI-fueled actuarial platform that unifies insurers' fragmented workflows into a single system, from data ingestion to integration with existing tools. The platform accelerates heavy scenario analysis and period-end closes through computation optimizations tailored to the execution environment, while version-controlled governance ensures traceability for supervisory examinations. It also enables forward-looking simulation of interest-rate movements and emerging risks to support leadership decisions under uncertainty.
- Insurance Technology
- Artificial Intelligence
- Financial Technology
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Insurers' actuarial workflows are fragmented across disparate tools and manual steps, consuming actuaries' time with repetitive calculations and system constraints. Actuarial logic is often locked in individual experience, and period-end closes focus on confirming past events rather than simulating emerging risks and interest-rate movements before their impact lands.
Solution
HyperCal redesigns insurers' operating systems with AI-fueled hyper calculations to evolve finance. The platform connects actuarial work into a single workflow, from data ingestion to integration with existing systems, reducing repetitive work and the errors that come with it. While actuaries focus on business logic, HyperCal accelerates computation through optimizations tailored to the execution environment, enabling heavy scenario analysis and large-scale period-end closes to run without delay. The system absorbs technical load, allowing actuaries to spend more time on designing value and making judgments. HyperCal also transforms actuarial knowledge into an organizational asset, ensuring assumptions and reasoning remain visible and traceable even as people change roles. By looking ahead and simulating the impact of interest-rate movements and emerging risks in real time, the platform gives leadership a clear basis for decisions under uncertainty.
Target Audience
Primary customers are insurance companies and financial institutions with complex actuarial workflows, particularly those with large-scale period-end close processes and heavy scenario analysis requirements across life, non-life, and health insurance lines.
Features
- One connected actuarial workflow spanning data ingestion, computation, and integration with existing systems
- High-performance computation engine optimized for the execution environment, designed to run heavy scenario analysis and period-end closes without delay
- Version-controlled data, assumptions, and code with full traceability of sources and flow, designed to support supervisory examinations
- AI-fueled calculation platform tailored to finance and insurance operations
- Forward-looking simulation capability that reflects interest-rate movements and emerging risks as they happen