Make your
ML models work

Model drifts, upstream data changes, and unintended biases can reduce the ROI and risk running afoul of compliances.

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Censius AI Monitoring Platform

Identify

Automatically monitor and  identify issues before it’s too late.

Troubleshoot

Perform root-cause analysis to understand model anomalies.

Achieve

Better AI performance for the real-world today and the future.

AI Observability isn’t a mystery anymore.
Easy to get started.

1

Integrate SDK

Register model, log features and capture predictions in just a few lines of code.

2

Set up monitors

Choose from dozens of monitor configs to track the entire ML pipeline.

3

Observe

Track monitor violations and analyze issues without writing any code.

Monitoring and data checks

It’s time to stop worrying.

Achieve peace of mind knowing that the entire ML pipeline is being monitored. Run thousands of monitors without any added engineering effort.

Continuously monitor model inputs & outputs

Track for prediction, data, and concept drift

Check for data integrity across the pipeline

Receive real-time alerts for monitor violations

Model Health

Visualize. Analyze.
Improve.

Track the health of all the models in one place. Use the intuitive interface to understand models and analyzing them for specific issues.

Track performance across model versions

Evaluate performance without ground-truth

Compare a model’s historical performance

Set up fully customized dashboards

Explainability

Black-box no more.
Explain everything.

By explaining model decisions, teams can build better performing and responsible models to increase trust for all the stakeholders.

Understand the “why” behind model decisions

Improve performance for specific cohorts

Detect unwanted bias and fix models

Ensure that models stay compliant

Any Platform.
Any Model.
Any Infra.

Achieve peace of mind knowing that the entire ML pipeline is being monitored. Run thousands of monitors without any added engineering effort.

AWS Sagemaker
Sagemaker
Google Cloud Platform
GCP
Azure
Azure
H2O.ai
MLFLow
Custom Platform
PyTorch
TensorFlow
TensorFlow
MXNet
Keras
Skicit Learn
Skicit
Public Cloud
On Prem
Private Cloud
Hybrid

And that’s not all

Censius completes
your AI stack

Helping data scientists, ML engineers, and business stakeholders achieve a lot more everyday.

Pre-launch validation

Upcoming

Run a model through different tests to ensure it’s ready for prime-time.

Robustness Checks

Can your model withstand unexpected inputs? Test it.

Monitoring API

Upcoming

Explore metrics and alerts into an external Monitoring system

First-class integrations

Plug-and-play support with a host of open-source and proprietary tools.

Playground

Analyze and evaluate data points & violations in an easy to use evaluation arena

Compliance Report

Upcoming

Automatically generate reports to understand model compliance.

CMD + K

We aren’t a boring dev dool after all. Search for anything, anywhere.

Sliding window

Compare performance even if your model is rolling on a dataset and shifting the baseline

What-if analysis

Upcoming

Evaluate how the model behaves depending on input variations.

What-if analysis

Upcoming

Evaluate how the model behaves depending on input variations.

Monitoring API

Upcoming

Export the metrics and logs into an external system to visualize them.

First-class integrations

Plug-and-play support with a host of open-source and proprietary tools.

Censius automates model monitoring

so that you can 

boost healthcare

improve models

scale businesses

detect frauds

boost healthcare

improve models

scale businesses

detect frauds

boost healthcare

Start Monitoring