Overview

InRule Machine Learning is part of the InRule Intelligence Automation Platform. It empowers business users — no data science expertise needed — to build, deploy, and manage predictive models seamlessly within decision flows. The easy-to-use, no-code interface enables organizations to analyze data to anticipate trends, identify risks, and uncover new opportunities. With built-in explainability and fairness controls, it ensures transparent, trustworthy ML-driven decisioning.

Features and Capabilities

• **No‑Code Model Building: **Business experts can create predictive models using an AutoML-guided workflow—no programming required.
• **Explainable AI (“Predictions with the why®”): **Models deliver transparent reasoning behind each prediction so users can understand how decisions are made.
• **Bias Detection & Fairness Controls: **Includes automated tools to detect and mitigate model bias by surfacing fairness metrics across protected attributes.
• **Multiple Modeling Engines: **Supports classification, clustering, recommendation, and similarity search, giving flexibility for diverse use cases.
• **Human-in-the-Loop Integration: **Embed models into broader decision pipelines alongside rules and workflows, allowing expert oversight and quick updates.
• **Scalable Enterprise Deployment: **Deploy on-premises, in the cloud (SaaS), or hybrid. Includes APIs, Swagger support for integration, and enterprise-grade monitoring, elasticity, and compliance.
• **Seamless Platform Integration: **Works within the unified InRule decisioning ecosystem—business rules, model scoring, process automation—without crossing platform boundaries.