Natural Language Processing (NLP) models are often complex. Securing them shouldn’t be.
The enormous size of the input space and complexity inherent in human languages makes it difficult and time-consuming to validate model pipelines and rigorously test model behavior. This is true of NLP systems developed in-house, and perhaps even more true of systems provided by third parties. Robust Intelligence offers a powerful, largely-automated and continually improving framework for ensuring the integrity of your NLP models.
AI Stress Testing
Ensure that your models are invariant to benign data transformations, robust to noise and attacks, and generalize across subdomains. Automatically catch vulnerabilities in your models before they go into production.
AI Firewall
Secure your production NLP models to ensure they remain performant in the face of problematic data points. Our AI Firewall automates anomaly detection, intercepting bad data before it can reach your model to eliminate failure.
AI Continuous Testing
Overcome notoriously difficult NLP monitoring challenges by also tracking semantically relevant features of text 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.
Adversarial robustness
Without proper system design, even state-of-the-art transformer models can be fooled by imperceptible text perturbations. We quantify your models’ vulnerability to adversarial attacks and improve your service’s robustness.
Support forvarious use cases
Evaluate any text classification or named entity recognition (NER) model on any dataset. We configure tests based on your setup to serve insights relevant to your use case.
Support any structured metadata
Language isn’t created in isolation. Use metadata attributes to test model performance in context and catch when your model is underperforming.
Native Hugging Face integration
We make it simple to include state-of-the-art language models in your ML Integrity workflow with our native Hugging Face integration, enabling you to confidently accelerate NLP adoption using open source resources.
"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."
