The AI kit for Insurance Actuaries

Turns claims, loss ratio, and persistency data into an experience study, such as a three-year loss ratio review by state.

Builds predictive models for pricing, fraud, churn, and underwriting, for example a fraud score on auto claims.

Cleans and trends mortality and morbidity data, for example a five-year mortality improvement study for a term block.

Turns history and assumptions into budgets, forecasts, and scenarios, for example a three-year premium and expense forecast.

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A model that passes all test cases after the repair.

Propose supported assumption updates with reserve impact, ready for review.

Deliver a rate filing package where every exhibit and the narrative agree.

Show how climate scenarios hit the actual portfolio and which mitigations work.

Let your AI assistant open and work inside real Microsoft Excel on your Windows PC.

Lets your AI read, edit, and recalculate Excel files safely, without you opening Excel.

Lets your AI look up and query your Snowflake data, with read-only protection on by default.

Look up the official long-term flood-risk band for any England postcode, straight from your AI chat.

Unlock data-driven decisions with this analytics modeling tool, which harnesses advanced statistical models to deliver crucial insights and predictions. Ideal f

DataMotto automates data preprocessing by cleansing, enriching, and preparing your raw data, reducing manual effort and saving you hours in making data ready fo

Sliq is an AI data-cleaning tool that detects field context to fix dates, typos, and missing values automatically, cutting 70-80% of tedious cleaning so teams c

Meet Macro Terminal: a command-line tool giving analysts natural-language access to databases, CSV and Excel files-explore data, run and write SQL, and export r

Keeps every figure in a pricing or reserving report traceable to its source data and assumption.

Tests how correlated exposure assumptions change portfolio accumulation and capital across scenarios.

Records why each model input was chosen so reviewers can follow the reasoning behind rates and reserves.

Catch pricing implementation errors before production.

Evaluate demand-forecast quality with WMAPE, bias, and Forecast Value Added vs. naive.

Calculate portfolio risk metrics: VaR, CVaR, Sharpe, Sortino, drawdown.

Builds a 13-week cash flow forecast from your bank, AR, AP, and payroll data, flagging crunch weeks.

Runs statistical tests and reports results in APA format for academic research.