Reliable Decision Intelligence for Tomorrow’s Businesses
ML models lifecycle
optimization
Platform
to prevent AI obsolescence
ML models lifecycle
optimization
Platform
to prevent AI obsolescence
OUR EXPERTISE
What we do
How we do it
The ML cube Platform analyzes data and models, providing insights and alerts while connecting AI performance to Business KPIs for informed decisions.
Real Time
Monitoring
We constantly analyse your production Data and AI Models Predictions to preventively detect negative trends and dangerous performance degradation alerting you through your favorite channel.
Performance Safe
Retraining
With our Retraining Tool we provide you the best dataset to update your AI models leveraging your past data and reducing the reaction time after a drift is detected.
Cost Model
Mangement
Link your AI Models performance with costs and revenue to have a comprehensive view of your investment and to choose the right moment to retrain your Models according to their estimated performance.
ML CUBE PLATFORM
Benefits
Connect model performance with business KPI
Scale the number of AI applications
Don’t leave unfinished business. Model performance optimization is meaningless without business perspective to drive your goal.
Increase the number of models you maintain thanks to continuous monitoring and dynamic retraining dataset definition.
Reduce costs and waste of time
Best Retrain Timing
MLOps is about automation and optimization of your resources. Eliminate the final hurdle in model maintenance with the ML cube Platform.
Choose the best time to retrain your model based on retraining quality, retraining spending, and business gains.
“By 2025, 70% of enterprises will have operationalized AI architectures due to the rapid maturity of AI orchestration platforms” - Gartner
“By 2025, 70% of enterprises will have operationalized AI architectures due to the rapid maturity of AI orchestration platforms” - Gartner
