Tabular Data

Deep support for structured data

Real-world “structured” data is anything but — it’s often messy, makes for brittle pipelines, and its seemingly well-defined nature obfuscates much of its true complexity.
It also happens to be the format of much of the most valuable data in modern organizations. Robust Intelligence ensures the integrity of your tabular AI data models, enabling you to confidently build on top of real world data.
Continuous Validation:


Check your data for outliers, drift, and broken data pipelines. Check your model for equal performance across subsets of the data, sensitivity to small perturbations, performance on outliers, data pipeline error handling, and robustness to adversarial attacks.
Continuous Validation:


Repeatedly analyze the behavior of models in production to identify issues, understand when it’s time to retrain a model, and automate root cause analysis of model failure. Enable rapid remediation to minimize model downtime.
Continuous Validation:

AI Firewall

Automatically protect your model in production from aberrant data points with an auto-configured Firewall that tests each incoming data point in real time. Take action against bad inputs so they never reach your model.

Expansive model task support

We offer native support for many different model tasks, such as binary classification, multi-class classification, regression, and ranking.

Run on any model and data

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


Robust Intelligence scales to the data sizes of the modern enterprise, allowing you to efficiently test across billions of rows with thousands of features.

Sophisticated, ever-improving testing

The Robust Intelligence testing framework incorporates hundreds of tests. Let your data science teams focus on building innovative models, confident in the knowledge that our engineers continually add tests from the bleeding edge of AI research.

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Failure Modes When Productionizing AI Systems

"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