Continuous Validation Platform
The Robust Intelligence platform automates testing of models and data across the AI lifecycle to protect against security, ethical, and operational risk. These categories can be mapped to Responsible AI principles, turning passive frameworks into active risk mitigation practices.
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Continuous Validation:
Pre-Deployment
Meet AI risk standards with automated testing and compliance
Value Props
Identify and remediate vulnerabilities early for all model types
Enforce model standards across your organization
Supplement our robust test suite with custom tests to meet your needs
Simplify model governance and compliance with auto-generated reports
Continuous Validation:
Post-Deployment
Evaluate production models over time
Value Props
Detect novel security risks and identify anomalies
Reduce model downtime with alerts and root cause analysis
Gain visibility into production model behavior and know when it’s time to retrain your model
Track custom business metrics over time
Continuous Validation:
AI Firewall
Protect models against undesirable outputs in real time
Value Props
Inspect inputs and outputs of all model types
Add custom logic to automatically flag, block, or impute erroneous data
Boost performance in production
Dramatically reduce firefighting after model deployment
Continuous validation works across the model lifecycle to protect against AI risk
Model and data validation is at the core of our platform. We apply this methodology continuously across the model lifecycle to protect organizations from AI risk. Automated testing throughout development and production ensures that models meet and maintain AI risk standards, while real-time validation with AI Firewall protects models against undesirable outputs. Together, this continuous validation process instills integrity in AI systems to protect against security, ethical, and operational risk.
Meet AI risk standards with automated testing and compliance
Evaluate production models over time
Protect models against undesirable outputs in real time
Robust Intelligence is Enterprise Ready
Flexible
Robust Intelligence is model architecture-agnostic and includes built-in support for tabular, NLP, and computer vision models, and treats your model as a blackbox so that you can use any model architecture.
Customizable
Configure the parameters of all default stress tests, and add custom tests and metrics that are important to your business.
Easy to use
Use powerful REST APIs and the Python SDK to programmatically access Robust Intelligence, allowing you to integrate into existing platforms and automate AI workflows. Use our intuitive UI to visualize and share results.
Scalable
Robust Intelligence seamlessly scales to process production workloads on the order of billions of data points and hundreds of models.
Seamless integration with your AI workflow
The Robust Intelligence platform offers native integrations into your AI development pipeline. Simply connect your data and model to initiate continuous validation.
Example Workflow:
Stream data and extract features from your cloud data storage
Train your AI model
Automatically validate your model and log the test results to your experiment tracking framework
Wrap AI Firewall around your model with one line of code and deploy to production
Detect novel security risks and identify anomalies to mitigate future AI risk
Any data
Any model
Any platform
Databricks technology partner for continuous validation
Learn more
"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."
"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."
"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."
“Robust Intelligence serves as a guidepost for us to instill machine learning integrity.”
“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.”
"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."
"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."
