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MLOps & Model Monitoring

We keep your AI systems accurate, fast and affordable after launch with monitoring and retraining.

Our MLOps & Model Monitoring service keeps AI working long after launch. We provide:

  • Live monitoring: latency, accuracy, usage and cost in one dashboard.
  • Automated evaluations: test suites that catch regressions before your users do.
  • Retraining and tuning: regular updates as your data and the models change.
  • Cost optimization: caching, routing and model choices that cut inference spend.

Every month you get a clear report with what changed, what improved and what we recommend next.

What's Included

  • Monitoring dashboards
  • Automated evaluations
  • Drift and cost alerts
  • Monthly retraining and tuning
  • Performance reports

Key Benefits

  • Stable model accuracy
  • Lower inference costs
  • Faster incident response
  • Audit-ready logs
  • Expert support and monitoring

Frequently Asked Questions

Yes. We start with a short audit and then add monitoring to existing models and agents.

Accuracy, latency, cost, usage, data drift, safety events and user feedback.

It depends on your data, but most clients get a monthly tuning cycle.

In most cases yes, through prompt optimization, caching and choosing the right model for each task.

Plans run month to month after an initial three-month period.