Advanced Analytics and AI That Moves Beyond Dashboards
Cadeon helps teams use advanced analytics and AI to predict outcomes, spot patterns earlier, and automate decision support. Turn raw data into models, scoring, and insights that show up in real workflows.

Predictive Forecasting Models
Forecast demand, load, churn, risk, or operational throughput using structured historical patterns and leading indicators.
Anomaly and Risk Detection
Detect unusual behavior in transactions, sensors, or process data using rule-based and statistical detection with clear alert logic.

Optimization and What-If Analysis
Run scenarios to compare decisions like staffing, pricing, scheduling, and supply planning with measurable tradeoffs.
Production AI Setup and Monitoring
Deploy models with monitoring for drift, accuracy, and data changes so outputs stay reliable over time.

Impact You Can Track
Cleaner inputs and tuned models reduce planning errors and last-minute changes.

Anomaly signals surface problems earlier than manual reviews.
Automated scoring and monitoring reduce repetitive analysis work.

Use cases first, models second
We start with decisions you want to improve, then choose the right approach to support them.
Clear, explainable outputs
Predictions and scores are presented with context so teams understand what’s driving results.
Built for real environments
Solutions work with your data pipelines, reporting tools, and access rules, not in a lab setup.
Deployment with monitoring
We track drift and data changes so models don’t quietly degrade over time.
AI Ideas That Usually Deliver the Fastest Wins
If you want quick value, start with problems that have repeatable patterns and clear outcomes. These are common areas where advanced analytics and AI produce strong results without months of experimentation.
Forecasting that reduces waste
Improve planning for demand, staffing, or load using stable historical signals.
Built for real environments
Solutions work with your data pipelines, reporting tools, and access rules, not in a lab setup.
Scoring that supports faster decisions
Prioritize accounts, assets, or cases using model-driven scoring and simple thresholds.
Data that isn’t ready for modeling
Missing fields, shifting definitions, and broken refresh cycles lead to unreliable model output. We clean inputs and lock logic so results stay stable.
Predictions that aren’t usable
If teams can’t understand or act on a score, it won’t get used. We deliver outputs with clear context and put them inside dashboards and workflows.
Ready to Put Advanced Analytics and AI Into Real Workflows?
Let’s pick a strong use case, connect the right data, and deliver AI outputs your teams can use with confidence.






