Time-series forecasting
Demand, sales, capacity, and resource predictions using ARIMA, Prophet, and neural methods.
- Demand forecasting
- Revenue planning
- Inventory optimization
Predictive Analytics
Models that predict what actually happens.
Demand forecasting, churn prediction, anomaly detection, and decisioning — built on your data, deployed into your workflows, monitored after we leave.
Demand · last 9 periods
Actual
Predicted
Baseline performance
94%
Typical classification accuracy on production-deployed models. We report on every model, every week — including when accuracy drops.
Techniques
Four families of problems we solve.
Classification & scoring
Binary and multi-class models for churn, credit risk, lead scoring, and customer segmentation.
- Churn prediction
- Credit scoring
- Lead qualification
NLP & text analytics
Sentiment, entity extraction, classification, and summarization from unstructured text.
- Support ticket routing
- Contract analysis
- Customer feedback
Anomaly detection
Identify outliers and unusual patterns in transactions, operations, or sensor data.
- Fraud detection
- Predictive maintenance
- Compliance monitoring
Representative outputs
What production looks like.
94.2%
Churn model F1
±2.8%
Forecast MAPE
38ms
P95 inference
7-day
Retrain cycle
Our approach
Explainable, reproducible, monitored.
Every model we ship includes feature importance, SHAP values, and a plain-English explanation of why it predicts what it predicts. No black boxes — your team needs to trust the outputs to act on them.
Based in Limassol, Cyprus, we bring enterprise data science to businesses across Europe and the Nicosia financial services corridor.
Predictive analytics pairs naturally with AI Consulting, Process Automation, and Digital Transformation.
Ready for data-driven decisions?
Start with a data assessment. We'll evaluate your data assets, identify the highest-ROI prediction opportunities, and size the effort honestly.
FAQ