Features
- Monitors ML models in production continuously
- Detects data drift, concept drift and performance degradation
- Sends real-time alerts for anomalies and model issues
- Tracks model health, accuracy and stability on dashboards
- Supports supervised and unsupervised ML systems
- Helps teams debug and improve deployed models
- Scales monitoring across multiple models and environments
- Integrates with ML pipelines and data platforms via APIs
Pricing Details
💰 Pricing Model: Enterprise subscription (custom pricing) 🆓 Free Plan Details: • No public free plan • Demos or proof-of-concept access available upon request 💳 Paid Plan Details: • Enterprise pricing based on number of models, data volume, and usage • Advanced monitoring, alerting, and analytics features • Dedicated enterprise support and onboarding