Eliminate AI Failures
We detect model vulnerabilities and automatically prevent bad outcomes.
Trusted by Data Science Teams at
Robust Intelligence named to
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.
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.
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.
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.
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.
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.
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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.
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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.
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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.
Unexpected
Model Behavior
Cornercase
Inputs
Distributional Shift
Broken Data Pipelines
Adversarial Inputs
Biased Predictions
The Solution
RIME Prevents AI Failures
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