Iris users typically have zero unexplained, as Iris has an integrated per-policy analysis of change and data validation engine.
Iris uses an intelligent grid job allocation, optimisation, monitoring and aggregation system we nickname “Tetris”, removing the need to micromanage the runs or the results.
Iris provides a complete visual clickable audit trail between, across and within data, calculation and reporting tasks.
Iris is the first actuarial platform utilising Generative AI to develop models from product specs.
Iris auto generates a parallel illustration/audit spreadsheet with formulae for any Iris-C model.
Iris uses C++ and AVX for superior performance and robustness.
Iris-C, Iris-X and Iris-SQL are all fully auto-documented with one click and with no user input necessary.
Any Iris-C model can be used as an excel function. Use it alongside your Python in Excel or VBA. Use the Iris add-in tools to query your results inside spreadsheets.
Iris has been used in production for a number of years and has withstood audit scrutiny in a number of client implementations in multiple jurisdictions.
Iris uses a low-code syntax and innovative expressions which make it quick to develop and easy to manage models.
Iris scales up easily on modest hardware, making deployment more cost effective whether in-house or on the cloud .
Models are small and come with many auditing and analysis tools reducing the development and auditing effort/cost.
Iris comes with simple to use automation tools so you can build, manage and audit the process using visual drilldown tools.
Iris is a continuously and fast-growing platform with users, currrently, in three continents.
Iris is built to satisfy user needs based on real-life use-cases.