The Robust Intelligence platform

Manage AI risk across the model lifecycle

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.

Validate Pre-Deployment  

Ensure proprietary and third-party models meet AI risk standards with automated testing and compliance.
Read More

Validate Post-Deployment

Evaluate production models by detecting novel security risks and identifying anomalies with automated testing and alerting.
Read More

Validate in Real Time            

Protect production models against undesirable outputs by wrapping them with AI Firewall to inspect inputs and outputs in real time.
Read More
Continuous Validation:


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
AI Stress Testing

Case study

No items found.
Continuous Validation:


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
AI Continuous Testing

Case study

No items found.
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
AI Firewall

Case study

No items found.

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


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.


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.


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

Any data

Any model

Any platform

Databricks technology partner for continuous validation

Learn more
"Robust Intelligence helps our data science teams standardize our pre and post-production ML testing practices, reducing time-to-production and the inherent risk associated with ML deployments. Expedia runs hundreds of models in production, developed by multiple teams, which serve hundreds of millions of predictions a day. Robust Intelligence enables our data science teams to continue building cutting edge AI models while minimizing failures."
Dan Friedman
VP of Data Science
"As the FDA continues to emphasize removing bias in ML models, the Robust Intelligence Platform is well-positioned to ensure that models in production are robust in a standardized, automated fashion while also being flexible enough to comply with rapidly evolving regulatory guidelines."
Alex Zhong
Senior Manager, Machine Learning & AI Research
"Using the Robust Intelligence Platform, we were assisted in the quality control process (which previously was carried out manually) and proceeded with development more efficiently, robustly, and uniformly. The technical skills of the Robust Intelligence engineers are extraordinary."
Eiji Yoshida
Head of IOWN Innovation Office
“Robust Intelligence serves as a guidepost for us to instill machine learning integrity.”
Ram Bala
Sr. Principal Data Scientist
“Tokio Marine Group utilizes AI across various business areas, from claims services, product recommendations to customer support. Despite the immense benefits of AI, the more we apply AI into our business, the severer the consequences of AI risks are. Robust Intelligence provides unique and unparalleled offerings to identify and address AI vulnerabilities that are otherwise very hard to recognize. We are committed to working with them and further accelerating our business collaboration.”
Masashi Namatame
Chief Digital Officer
"Seven Bank leverages AI at the core of our ATM services and financial services, addressing societal needs and challenges from our customers’ perspective. Robust intelligence ensures the quality of such models, which are critical to AI utilization. By constantly guaranteeing the state of AI against changes in customer behavior, service needs, and other potential changes, RI enables us to take a big leap forward in applying AI to bring our services even closer to our customers."
Yoshiyuki Nakamura
Assistant General Manager, Corporate Transformation
"As companies operationalize AI at an accelerated rate, the consequences of model failure are amplified. Companies must put in measures throughout the model lifecycle to eliminate negative social and economic impact. Robust Intelligence, which instills integrity in ML models, brings additional strength to NEC’s extensive experience and knowledge in using AI. The companies will work together to build and operate AI systems in a safe, reliable, and fair manner for NEC's customers across industries."
Hitoshi Imaoka
Senior Director