Stop Model Drift

I monitor and maintain your AI models so you have reliable outputs from them.

The Silent Failure: Why Your Inspection AI is Vulnerable

Your investment in autonomous inspection (drones, crawlers, fixed sensors) is crucial, but the predictive AI behind it is inherently fragile. Unmonitored models decay daily, creating a massive operational risk that most teams ignore until failure occurs.

Unscheduled Downtime: Model drift leads to missed critical defects, resulting in costly, unplanned turbine shutdowns.
Wasted OPEX: False positives trigger unnecessary maintenance deployment and re-inspections.

The system you trust to monitor your assets is silently failing because it lacks continuous governance. That's what I fix.

The AI Asset Reliability Retainer

This is a continuous, fractional service that acts as your dedicated Chief MLOps Reliability Officer. I manage the full lifecycle of your models, ensuring continuous, verifiable accuracy.

Continuous Model Governance: Implement and manage automated MLOps pipelines (CI/CD, version control) on your cloud platform (Azure/AWS/GCP).
CV Drift Mitigation: Proactive detection of input data changes (light, angle, sensor noise) and automated retraining before accuracy is impacted.
Edge-to-Cloud Data Integrity: Stabilize data flow by applying pre-processing and validation logic at the edge, guaranteeing only clean data enters the central model.
Reduced Labeling Costs: Integrate Active Learning and automated data augmentation tools to slash the time and cost associated with manual CV model retraining.

Featured Case Studies

Testimonials

Get Started With The Model Drift & Data Governance Audit

Before committing to a retainer, let us quantify the exact risks in your current system. This fixed-bid, high-value audit exposes hidden bottlenecks and provides the blueprint for reliability.

Drift Vulnerability Scorecard: A quantified report showing the dollar-cost risk of silent CV model failure.
Edge-to-Cloud Integrity Map: A detailed analysis of data quality issues from sensor ingress to cloud storage.
Custom Retainer Blueprint: A complete, tiered proposal outlining the exact services needed to achieve continuous operational reliability.

Stop Model Drift

The Silent Failure: Why Your Inspection AI is Vulnerable

The AI Asset Reliability Retainer

Featured Case Studies

Governing High-Volume Computer Vision

Guaranteed Clean Ingress

Architecting Enterprise-Grade MLOps

Testimonials

Get Started With The Model Drift & Data Governance Audit