Detect drift, bias, and performance degradation in real-time. KOSHERCO provides enterprise-grade monitoring for your production ML models with automated alerting and comprehensive observability.
KOSHERCO provides end-to-end monitoring capabilities to ensure your models perform reliably in production environments.
Monitor input data distributions and detect statistical shifts that could impact model performance before they affect your business outcomes.
Track key performance metrics in real-time with customizable thresholds and automated alerting for degradation patterns.
Ensure fairness across different demographic groups with advanced bias detection algorithms and compliance reporting.
Get instant visibility into your model's health with our intelligent monitoring system that learns from your models' behavior patterns.
Built for scale, designed for reliability. KOSHERCO handles billions of predictions while maintaining sub-second detection latency.
Meet regulatory requirements with built-in compliance features for GDPR, CCPA, and industry-specific regulations. Automated audit trails and reporting ensure you're always ready for compliance reviews.
Smart alert routing with context-aware notifications. Our ML-powered alert system reduces false positives by 85% while ensuring critical issues are never missed.
Handle millions of predictions per second with sub-millisecond detection latency. Our distributed architecture ensures reliability at any scale.
Native integrations with popular ML frameworks, cloud platforms, and data infrastructure. Deploy monitoring in minutes, not months.
From financial risk models to recommendation engines, KOSHERCO adapts to your specific monitoring needs.
Ensure credit scoring, fraud detection, and risk assessment models maintain accuracy and fairness across all customer segments. Detect economic drift and market changes that impact model performance.
Monitor for discriminatory patterns and ensure ECOA/FCRA compliance
Track false positive rates and detect emerging fraud patterns in real-time
Identify when market conditions deviate from training data distributions
Monitor personalization models for bias, relevance degradation, and seasonal drift. Ensure recommendations remain diverse and engaging across all user segments.
Track click-through rates and conversion metrics in real-time
Ensure recommendations maintain healthy diversity across categories
Detect and adapt to seasonal shopping pattern changes automatically
Monitor diagnostic and treatment recommendation models for accuracy, bias across patient populations, and compliance with medical standards.
Track sensitivity and specificity across different patient demographics
Ensure equal performance across all patient populations
Continuous validation against clinical outcomes and guidelines
Monitor equipment failure prediction models for accuracy and detect when sensor patterns indicate new failure modes or environmental changes.
Track prediction accuracy and lead time for maintenance events
Identify when sensor readings deviate from expected patterns
Balance false positives against unplanned downtime costs
Join leading enterprises using KOSHERCO to ensure their ML models perform reliably in production. Get started with a comprehensive demo and see the difference real monitoring makes.
Our team of ML monitoring experts is ready to help you implement comprehensive observability for your production models.