Insight
Decision first
Business scope. Churn, fraud, demand, and risk scoring on the tabular data you already collect.
AI technology
Machine Learning (ML)
Radiantze delivers classical ML for churn, fraud, demand, and risk scoring on the tabular data enterprises already collect.
Prediction from the data you already collect
Radiantze trains models on labeled historical outcomes so teams score, classify, or forecast new records with a defined metric and clear ownership.
Classical ML remains a fast path to production AI for regulated programs, with smaller data and compute needs than deep learning or generative approaches, with explainability operators can defend.
Insight
Defensible
Operators and audit. Tree and linear models show which factors drove a prediction when reviewers ask.
Insight
Human review
High-stakes actions. Pilot with review before automating credit, fraud, or similar decisions.
Partnership
Radiantze classical ML
Radiantze scopes ML around the business decision first, then builds pipelines, evaluation, and monitoring your team can operate.
- Define the decision and success metric before selecting an algorithm.
- Audit historical data for consistent, labeled outcomes.
- Establish a baseline the new model must meaningfully beat.
- Pilot with human review before automating high-stakes actions.
Radiantze applications
Financial services
Fraud scoring, credit risk, and AML detection with fairness testing and model-risk documentation.
Retail & supply chain
Demand forecasting, inventory optimization, and segmentation on sales history and store signals.
Healthcare operations
Readmission risk, capacity planning, and claims triage from structured clinical and operations data.
Related use cases
See it applied
Customer churn prediction
Radiantze trains account risk scores from usage, support, and billing history so retention teams act with clear priority.
Fraud detection scoring engine
Radiantze trains real-time fraud scores that adapt as patterns shift, with tiered approve, verify, or block decisions.
Demand forecasting for inventory
Radiantze builds product-and-location forecasts so planners order closer to real demand across the network.