Eliminate AI Failures

AI models fail.
We detect model vulnerabilities and automatically prevent bad outcomes.
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As the FDA continues to emphasize removing bias in ML models, RIME 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

As the FDA continues to emphasize removing bias in ML models, RIME 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

As the FDA continues to emphasize removing bias in ML models, RIME 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

As the FDA continues to emphasize removing bias in ML models, RIME 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

As the FDA continues to emphasize removing bias in ML models, RIME 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

RIME's unique functionality was able to highlight edge cases and unexpected behavior of production data, all of which was achieved via a simple, user-friendly interface. Thanks to RIME, we were able to create robust models and monitor the performance of our models efficiently.

Halil Ertan

Manager of Artificial Intelligence

Using the RIME 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

Thanks to RIME, Intelligent Wave can build more performant fraud detection models that optimally adopt to changes in the authorization data. Possessing impressive technology and agility, Robust Intelligence is a great partner for us to combat the ever-changing fraudulent trends.

Yasuhide Natsume

Senior Manager of 2nd System Development Dep.

The Problem

AI Fails, All the Time

AI Failure is when you train an ML model and it behaves poorly in production because of issues like novel corner case inputs, upstream ETL changes, and distributional drift. Data science teams constantly face these issues and more, spending time root causing and firefighting.

Data science teams may optimize for a single performance metric like accuracy, but this is inadequate to prevent AI Failure. Combatting AI Failure takes time and energy. Robust Intelligence helps to prevent AI Failure so that you can focus on what truly matters.

Robust Intelligence

Unexpected
Model Behavior

Robust Intelligence

Cornercase
Inputs

Robust Intelligence

Distributional Shift

Robust Intelligence

Broken Data Pipelines

Robust Intelligence

Adversarial Inputs

Robust Intelligence

Biased Predictions

The Solution

RIME Prevents AI Failures

The Robust Intelligence Model Engine (RIME) helps your team accelerate your AI lifecycle
Robust Intelligence

Detect Weaknesses

Train a candidate model, and automatically discover its individual weaknesses with AI Stress Testing. Go beyond simply optimizing for model performance.

Improve the model with automatic suggestions. Compare with other candidate models. Establish and enforce standards across your organization.

Prevent AI Failure

Confidently deploy the best model into production with AI Firewall with one line of code.

Observe your model in production and automate the discovery and remediation of any issues that occur post-deployment. Automatically flag, block, or impute erroneous data in real-time.

Case Studies

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Eliminate AI Failure Today