Computer Vision

Secure your computer vision models

Computer Vision (CV) applications are expanding across industries and are increasingly being used to make critical decisions.
At the same time, CV models tend to be significantly more failure-prone than other modalities because images are very high-dimensional, necessitating models that are more complex and less interpretable. Furthermore, the data itself is harder to understand and classify. Robust Intelligence helps you eliminate CV model failure.

AI Stress Testing

Ensure that your models perform well across all types of data. Explicitly check for invariance to data transformations, robustness to noise and attacks, and generalizability across meaningful image features.
Explanation AI stress testing
Image of a car with model results

AI Firewall

Automatically identify problematic data points as data streams in during production. Seamlessly augment the model retraining and redeployment process. Take action against bad inputs so they never reach your model.

AI Continuous Testing

Overcome notoriously difficult CV monitoring challenges by also tracking semantically relevant features of image data. Continuously monitor models in production to identify issues, understand when it’s time to retrain a model, and automate root cause analysis of model failure.
abnormality rate line graph over time

Support forvarious use cases

Evaluate any image classification or object detection model. Robust Intelligence configures tests based on your setup to serve insights relevant to your use case. More use cases are always on the way.

Run on any model and data

Test any type of model (statistical, convolutional neural net, transformer, etc.) and pull data from any source (local, networked, cloud) using our simple and flexible abstractions.

Support any structured metadata

Use metadata attributes to test model and data performance in context and catch when your model is underperforming. Robust Intelligence allows users to provide their own custom metadata.
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"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
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"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