Continuous Validation Platform
The Robust Intelligence platform automates testing of models and data across the AI lifecycle to protect against security, ethical, and operational risk. These categories can be mapped to Responsible AI principles, turning passive frameworks into active risk mitigation practices.
Continuous Validation:
Pre-Deployment
Meet AI risk standards with automated testing and compliance
Value Props
Identify and remediate vulnerabilities early for all model types
Enforce model standards across your organization
Supplement our robust test suite with custom tests to meet your needs
Simplify model governance and compliance with auto-generated reports

Continuous Validation:
Post-Deployment
Evaluate production models over time
Value Props
Detect novel security risks and identify anomalies
Reduce model downtime with alerts and root cause analysis
Gain visibility into production model behavior and know when it’s time to retrain your model
Track custom business metrics over time


Continuous Validation:
AI Firewall
Protect models against undesirable outputs in real time
Value Props
Inspect inputs and outputs of all model types
Add custom logic to automatically flag, block, or impute erroneous data
Boost performance in production
Dramatically reduce firefighting after model deployment
Continuous validation works across the model lifecycle to protect against AI risk
Model and data validation is at the core of our platform. We apply this methodology continuously across the model lifecycle to protect organizations from AI risk. Automated testing throughout development and production ensures that models meet and maintain AI risk standards, while real-time validation with AI Firewall protects models against undesirable outputs. Together, this continuous validation process instills integrity in AI systems to protect against security, ethical, and operational risk.

Meet AI risk standards with automated testing and compliance

Evaluate production models over time

Protect models against undesirable outputs in real time
Robust Intelligence is Enterprise Ready
Flexible
Robust Intelligence is model architecture-agnostic and includes built-in support for tabular, NLP, and computer vision models, and treats your model as a blackbox so that you can use any model architecture.
Customizable
Configure the parameters of all default stress tests, and add custom tests and metrics that are important to your business.
Easy to use
Use powerful REST APIs and the Python SDK to programmatically access Robust Intelligence, allowing you to integrate into existing platforms and automate AI workflows. Use our intuitive UI to visualize and share results.
Scalable
Robust Intelligence seamlessly scales to process production workloads on the order of billions of data points and hundreds of models.
Seamless integration with your AI workflow
The Robust Intelligence platform offers native integrations into your AI development pipeline. Simply connect your data and model to initiate continuous validation.
Example Workflow:
Stream data and extract features from your cloud data storage
Train your AI model
Automatically validate your model and log the test results to your experiment tracking framework
Wrap AI Firewall around your model with one line of code and deploy to production
Detect novel security risks and identify anomalies to mitigate future AI risk