Forecast using our
Analytics
Navigate high-stakes (re)insurance deals with backtested, peer-reviewed models you can trust.
Seamlessly integrate stochastic loss models into your workflow—no setup, no heavy lifting.
Access our state-of-the-art loss modeling APIs to instantly generate forecasts, from traditional actuarial models to modern Bayesian time series methods. Get robust, backtested insights without the complexity of building models from scratch.
Unlock deep actuarial insights with curated industry - and company-level data.
Leverage our historical database to analyze performance trends across any line of business. Interactive visualizations compare historical results to backtested forecasts, helping you anticipate shifts before they happen.
Stay ahead with cutting-edge research on modern insurance data science.
Deepen your expertise with research-backed insights. Our technical library covers everything from Bayesian forecasting to model validation, keeping you at the forefront of insurance data science.
Build and customize advanced modeling pipelines.
Design sophisticated analytical workflows through an intuitive graphical interface. Blend models, visualize key trends, and generate detailed reports with industry-calibrated priors and Bayesian forecasting tools—all in one place.
Empower your data science team with an open, industry-leading modeling ecosystem and let us take care of the cloud infrastructure.
Ledger’s modeling infrastructure provides scalable, transparent tools for data handling, risk modeling, and actuarial analysis, whether you're an individual analyst or building an enterprise-grade data science practice.
Translate loss ratio forecasts into investor-ready financial metrics.
Understanding future loss ratios is just the first step, what matters is their impact on your bottom line. Apply your deal model structure to our forecasts to generate detailed distributions of key investor metrics like IRR and MOIC, ensuring every decision is backed by rigorous financial analysis.
