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Building ML Model is Hard,
Production Troubleshooting shouldn't be

Observe, Monitor and Explain Production AI
So that you can prevent the inevitable model degradation.

Request Early Access

Get the Ability of real-time ML Observability and continuous ML Monitoring combined with the power of Model Explainability, so that your ML Models serve your customers the same, on 100th day, as they did on day one.​

Take care of your Business KPIs with Waterdip
Model Performance Monitoring
Platform

01
Observer Models, in Real-time.

Observer the health and performance Of your ML Models in Real time

02
Monitor Models, to find problem

Get notified instantly when there are unexpected decision  taken by your ML Models

03
Explain Models, to understand problems

Understand the rationale behind the unexpected decisions made by your ML models,

Benefits
Gain Production Insight
With Waterdip platform ML Engineers and Data Scientists can check their Model's performance across a wide range of KPI and measurements in a single place
Faster Troubleshooting
Debugging ML system is really cumbersome process. With much needed production insight, it becomes much easier to troubleshoot production issues
Increase Productivity
With the power of continuous production insight and easier troubleshooting, Data Scientists saves more time, so that they can work on something awesome
Gain Transparency
With the combined view of model performance and explainability of model's decision making process, product leaders gain complete transparency of their AI Systems
Increase Trust
The transparency increases the trust of product leaders to their AI systems, as they know their AI system are making decision with true responsibility
Build Confidence
Transparency and Trust gives product leaders more confidence to build and experiment with more ground braking ideas, to make higher impact to business KPIs

The Waterdip Platform

The Waterdip platform is built to scale to any production size and Integrates
Seamlessly Into Your Existing Environment

Model Performance

Observer ML model's performance is one of the key activity needs to be done in production AI system. With waterdip platform one can have the continuous observability of model's performance matrices like Confusion Matrix, Moving Accuracy, AUC/ROC, Gini, Precision/Recall etc.

Model  Drift Detection

Due to this drift, the model keeps becoming unstable and the predictions keep on becoming erroneous with time. With waterdip platform we can detect drift in Data and ML model.

Outlier Detection

New environment is full of unexpected inputs, that can cause outlier for predicted data. With waterdip finding and identifying outlier in data or prediction become seamless, so troubleshooting becomes easy for the ML engineers and Data Scientists

Proactive Alerts

Anticipate what is changing and how it impacts your business and surface the right alert to the right people, so can action can be taken promptly

Model Prediction Explainer

Understand how the ML Model is taking decision under the Black Box, so that it can be easily detected why any model is making wrong decision and can be fixed sooner