OUR
PROCESS
1. BUSINESS CASE
The exact business case for AI/ML is clarified through careful data analysis and simulations. Results are broken down into possibilities, limitations, metrics and KPIs, after which the ideal solution is designed and documented.
2. VALIDATION
The first fully functional model is tested with real-world data. This acts as a proof for the concept, validating the business case and the model as an optimal solution for it. Green light – and we’re off to production.
3. PRODUCTION
The model is integrated with data sources and put to real-world use. Over the next weeks, the solution is fine-tuned until it reaches production-grade performance. This is the endgame we’re unbeatable at.
Technologies we use
REGRESSION
Production disturbance prediction
Predictive maintenance
Sales & demand forecasting
Churn prediction
Next purchase date prediction
CLASSIFICATION
Production disturbance situation type classification
Fraud detection
Natural damage prediction
CLUSTERING
Lead segmentation
Intelligent customer segmentation