Decision Intelligence toolkit
Choose the best-fit technology to solve your business challenges
Native eXplainable AI
Rulex’s proprietary XAI algorithm – the Logic Learning Machine (LLM) – generates output in the form of understandable if-then rules, which mimic the intricate pathways of human thought.
Rulex’s XAI has resulted in multimillion-dollar savings for global corporations in areas such as customer loyalty and fraud detection, while ensuring transparency, compliance, and adherence to ethical AI standards.
Mathematical optimization
Find optimal solutions for complex business scenarios by handling intricate physical and logical constraints within configurable spreadsheets.
Global supply chains have used this tool to minimize costs and maximize revenues in areas such as replenishment, dock and transport optimization, and simultaneous product and packaging planning.
Business rule engine
Rulex’s Rule Engine serves as a powerful tool for defining and applying business rules to data. It is designed to allow users to write rules in a simple spreadsheet using an intuitive syntax.
The Rule Engine has been used for advanced master data validation, lending and credit risk management, and strategic supplier diversification.


What-if scenario simulator
Go beyond just forecasting the results of complex processes! Get an action plan on exactly what you need to do to achieve desired outcomes, without spending money on costly real-life experiments.
Rulex’s Rule-Based Control task has multiple applications, from reducing energy consumption to predicting equipment maintenance and improving retention strategies.
AutoML
With AutoML, you can streamline and accelerate data analytics, working in a user-friendly, guided workflow. By automating time-consuming tasks like data preparation, preprocessing, and feature selection, you have time to experiment with multiple machine learning models.
Global financial organizations have employed Rulex’s AutoML in areas such as credit scoring, wealth management, and product cross-selling and up-selling.
