Pre-Deployment: AI Stress Testing

Detect and remediate vulnerabilities before production

Automate model testing across your ML pipeline to catch failures early and deploy with confidence.

Automated, comprehensive testing

Without a broad testing framework, it’s nearly impossible to account for all edge cases. Our AI Stress Testing runs hundreds of checks against your model and data pipelines without you having to configure a thing.

Standardized pre-flight checklist

“Production-readiness” can mean different things for different teams. With easily-shared test configurations and powerful APIs, we make it easy to codify and enforce a standard definition across your organization.

Understand what you’re deploying

ML models are inherently complex. We perform fine-grained analyses of your data and models so that you can discover unexpected behaviours, shore-up weaknesses, and choose the most effective model.

Powerful, fully customizable framework

When it comes to model testing, one size does not fit all. We enable you to easily tune the parameters of each built-in test and add custom tests to meet your exact needs.

Run at enterprise scale

Large, high-dimensional data increases vulnerability. We ensure that all your ML model pipelines are secure, no matter their size.

Broad set of supported tasks

Support for everything from named entity recognition to object detection to learning to rank.

Seamless integrations

Plug in your favorite machine learning libraries and run on your favorite platforms.

Automated Compliance Checks

AI regulations are constantly changing. Stay at the forefront with the RI Platform, which can automatically measure your model’s compliance to an ever-expanding set of regulations.
"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



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