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Keep your ML models in line with
Put your team back in control of ML models in production with
Foundations Orbit, a suite of tools for model performance management
and post-deployment operations.
you and your team?
Mission critical parts of your business rely on the ML models you have built.
As little as 1% degradation in model performance can mean millions of
dollars in revenue lost.
After they’re in production, machine learning models often aren’t monitored closely.
Machine learning is different than data science, but still requires continuous improvement and monitoring to ensure models do more good than harm.
Rapidly changing business requirements mean your models need to play catch-up.
Businesses change rapidly, but new products and services or changes in business mean that your models are prone to suffer from concept drift.
This means that you need solutions that will help you not only monitor your models
but also give you the ability to quickly iterate, recalibrate, retrain and swap models in production.
Orbit takes care of these for you.
Features of Foundations Orbit
Put your models into production without needing support from DevOps
Stay on top of population shifts, unseen values and anomalies in your data
Automated A/B Testing
Find the best performing model rapidly with automated tools for testing
Model Metrics Alerts
Keep informed of changes to model behaviour with automated Slack or email notifications
Data Validation and Monitoring
Mitigate the risk of stale models with post-deployment tools for continuous monitoring
Automated Retraining & Recalibration:
Set schedules for automated model retraining and recalibration