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Complex tech stack? No problem

Our ML monitoring API fits anywhere

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Continuous Monitoring

Monitor your production models as batch processes or inference servers. Detect the earliest signs of model or data drift and easily calculate historical model performance when ground truth is available. Continuously collect fresh training data from production.

API First

Revela's highly consumable API provides the lowest latency on real-time metrics. Lose the clutter by displaying monitoring data on the dashboards and platforms you already use. Securely deploy on-prem or in the cloud with Kubernetes. 

Metrics Library

Choose from over 20 monitoring metrics across data drift, feature correlation, and model performance. Compatible with tabular and binary data for covering language and vision applications. Measure drift in non-ML modeling such as rule-based models.

Alerting

Monitors automatically keep track of metric values and will alert when unusual events occurs. Set custom alerting thresholds with granularity at the model and metric levels. Individual events are aggregated smartly to reduce "alert fatigue". 

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Designed for Your Ecosystem

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