Top 10 Best Actuary Software of 2026

Prophet by FIS (fisglobal.com) is a premier actuarial modeling software platform widely used for stochastic and deterministic modeling in life insurance, annuities, pensions, and health products. It provides comprehensive tools for cashflow projections, asset-liability management, embedded value calculations, and regulatory reporting under standards like IFRS 17 and Solvency II. With a modular architecture and a powerful scripting language (GP), it enables actuaries to build, test, and validate complex models efficiently. As an industry standard, it powers strategic decision-making for major insurers worldwide.

AXIS by Moody's Analytics is a leading actuarial modeling platform used by insurance companies and pension funds for advanced financial projections, risk analysis, and regulatory reporting. It supports deterministic and stochastic modeling for life, health, annuities, P&C, and group products, with capabilities for economic scenario generation and asset-liability management. The software integrates seamlessly with enterprise data systems and offers extensive customization for complex product structures.

MG-ALFA from Moody's Analytics is a powerful enterprise-grade actuarial modeling platform tailored for insurance companies and pension funds. It specializes in asset-liability management (ALM), stochastic projections, economic scenario generation, and regulatory compliance such as IFRS 17, Solvency II, and ORSA. The software enables complex multi-national modeling with seamless integration of Moody's market data and risk analytics.

PolySystems, developed by Milliman, is a comprehensive actuarial modeling platform tailored for life insurance and annuity products, enabling stochastic and deterministic valuations, projections, and asset-liability management. It supports complex product modeling, regulatory compliance like IFRS 17 and LDTI, and financial reporting for insurers. The software excels in handling enterprise-scale calculations with high accuracy and flexibility.

Mo.net, developed by Milliman, is a robust actuarial modeling platform designed for life insurance, annuities, pensions, and health products. It enables actuaries to perform deterministic and stochastic cash flow projections, experience analysis, reserving, and pricing with high scalability. The software supports custom model development via its proprietary CalcScript language and integrates seamlessly with enterprise data systems for regulatory compliance and risk management.

Igloo by FIS Global is a robust actuarial modeling platform tailored for life insurance and annuities, supporting valuation, reserving, pricing, and asset-liability management. It excels in handling complex stochastic and deterministic projections while ensuring compliance with standards like IFRS 17, US GAAP, and statutory requirements. The software integrates seamlessly with enterprise data systems, enabling actuaries to build scalable model offices for regulatory reporting and risk analysis.

Emblem (emblem.com) is an API-driven platform specializing in parametric insurance solutions, enabling instant underwriting and claims payouts based on predefined triggers like weather events or cyber incidents. It integrates actuarial modeling with real-time data analytics to help insurers and partners embed insurance products seamlessly into their offerings. While not a comprehensive actuarial modeling suite, it excels in niche parametric risk assessment and automation.

@RISK is a Monte Carlo simulation add-in for Microsoft Excel developed by Lumivero, enabling users to model and analyze uncertainty in spreadsheets through probabilistic simulations. It replaces uncertain values with probability distributions to generate thousands of scenarios, providing statistical outputs like means, percentiles, and risk metrics. For actuaries, it excels in stochastic modeling for insurance reserving, pricing, and capital adequacy under uncertainty in variables like claims severity, mortality rates, and investment returns.

SAS is a comprehensive analytics platform widely used by actuaries for advanced statistical modeling, predictive analytics, and risk management in the insurance sector. It supports key actuarial tasks such as loss reserving, premium pricing via generalized linear models (GLMs), solvency calculations, and scenario testing through its extensive library of procedures and SAS Viya's cloud capabilities. With robust data handling for large-scale datasets, SAS enables precise stochastic modeling and regulatory compliance reporting.

RMS Risk Intelligence is a leading catastrophe risk modeling platform tailored for the insurance and reinsurance sectors, offering advanced probabilistic models for natural perils like hurricanes, earthquakes, and floods. It empowers actuaries with tools for portfolio risk assessment, pricing optimization, capital modeling, and scenario analysis using high-fidelity simulations. The platform integrates climate risk intelligence and supports regulatory compliance through detailed analytics and reporting.