Companies seem to dislike the term ‘managed support’ because it sounds like something went wrong. The truth is that managed AI support represents the difference between a model that works in a demo and one that keeps working in production. The only time a managed AI system fails is when no one is watching it anymore. We help companies keep their models, pipelines and infrastructure healthy long after the initial project ends. It is inevitable that data will drift and systems will need tuning; we help clients catch and correct this before it affects the business.
We help companies turn a one-time AI or data project into a continuously improving asset. Our specialty lies in understanding what “healthy” looks like for your specific systems, and keeping them that way.

Monitoring & SLAs
Excellent observability is necessary for any AI system to stay financially and operationally sound. Our Monitoring & Support services ensure that no model degradation or data drift in your systems goes undetected. Some companies have the mistaken idea that monitoring is only necessary after an incident happens. Thus any company running AI or data systems in production needs ongoing, outside monitoring and support:
Model monitoring platforms – Performance & drift research
Observability tools – Logs, metrics & traces research
Data quality frameworks – Data drift & anomaly research
Incident management platforms – Alerting & response research
Cost monitoring tools – Cloud & inference spend research
Uptime & SLA dashboards – Availability research
Benchmark reports – system health report “slices”
Reliable & Safe
Model
Monitoring
We track model performance and data drift continuously, so degradation gets caught before it affects your business.
Infrastructure
Support
We always develop support plans specifically designed to meet and reflect each client’s infrastructure requirements.
Retraining
& Tuning
Our retraining cadence is based on best practices and highly sophisticated evaluation to keep models performing as data changes.
Cost
Optimization
We provide ongoing tuning to help clients minimize their cloud and inference costs without hurting performance.
Incident
Response
We always maintain response plans specifically designed to meet and reflect each client’s uptime requirements.
Reporting
& Analytics
We deliver clear reporting built on best practices and sophisticated analytics to keep clients informed at all times.
Why clients choose managed support
Support plans
While we are focusing on keeping your AI and data systems healthy, your team can have more time and focus on building new things.
3 monitored pipelines
30-day performance history
Up to 2 monitored models
Unlimited alert history
Unlimited monitored pipelines
Unlimited performance history
Custom alerting & permissions
Priority incident response
Org-wide monitoring standards
Centralized support team
Dedicated SLA management
Quarterly optimization reviews
Our partners says
Improve the reliability of your AI and data systems and save money by catching issues early. Discover all the services we offer.

