InRule enables anyone, no data scientist needed, to use machine learning to analyze data to anticipate trends, identify risks, and find new opportunities. The InRule Platform empowers subject matter experts with a unique set of dynamic automation tools to predict, decide, and process decisions accurately at scale, all without code. ML-driven insights enable proactive and informed choices. Reduce guesswork and enhance strategic planning. Real-time insights into customer behavior and emerging trends allow organizations to capitalize on new opportunities. Give business users access to machine learning with an easy-to-use, no-code interface. Business teams can receive ongoing intelligence without help from IT or a data science team. Gain insights into potential risks such as customer churn or patient health risks before they materialize. Take proactive measures to improve outcomes. Create transparent, actionable intelligence that allows your organization to leverage the power of machine learning predictions with confidence. Unleash Business While Unburdening IT Guided, no-code model-building processes makes it easy for experienced and novice practitioners to quickly build and deploy machine learning-powered applications. Subject matter experts have access to Gain Better Insight into Big Data Gain meaningful insights from mass data sets through semi-supervised clustering analysis. Clustering algorithms group data based on similarities to create new views to show connections across oceans of metrics making it easier to see trends and make better decisions. Get transparency into how and why decisions are made. Apply models more effectively with the capability to trace negative and positive outcomes to their sources. Unlike traditional ML platforms which only deliver predictions and confidence scores, InRule’s Machine Learning reveals how each input factor was weighed for every prediction. Unwanted biases can creep into ML models in unexpected ways, even from unintended human influences. InRule offers the industry’s best defense against harmful biases, and any negative consequences for customers or brands. Public sector agencies, insurance companies, mortgage lenders, and other highly regulated organizations can ensure compliance with fairness laws and regulations. Business users can deploy and update models with confidence. Our bias detection evaluates the fairness of models, ensuring people who are similar (based on reasons most relevant to making the modeled decision) receive equal treatment. Scouring to the deepest subsets of models to explore millions of data paths assures that the model operates with equal fairness within groups and between groups.Integrated Machine Learning for Informed Decision-Making
Convert raw data into actionable insights – without code.
Make better Predictions
Gain a Competitive Advantage
Enable Everyone with Machine Learning
Proactively Identify Risk
More than Artificial Intelligence. Actionable Insights.
No-Code Modeling
No-Code Modeling
dynamic automation tools to make informed decisions better, faster, and more accurately at scale, all without code.
Data Clustering
Data Clustering
Explainable AI
Explainable AI
Bias Detection
Achieve Fairness Through Awareness
Discover the InRule Difference
