Protect all of your AI model types
Support all major modalities, model tasks, and model types
AI models are complex and introduce risk. Robust Intelligence enables you to use any model with confidence, regardless of their type.
Generative AI
Applying generative models in novel ways can unlock business value, but the complexity makes it hard to evaluate what you're deploying and the associated risks. Robust Intelligence provides a comprehensive solution that enables you to thoroughly evaluate and optimize any generative AI model, empowering you to leverage this cutting-edge technology with utmost confidence.
Model tasks include question & answering, summarization, retrieval-augmented generation and more.

Natural Language Processing (NLP)
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. Robust Intelligence offers a powerful, automated framework for ensuring the integrity of your NLP models. Evaluate any text classification or named entity recognition (NER) model on any dataset.
Model tasks include text classification, fill-mask, and more.
Computer Vision (CV)
CV models tend to be 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 validate and protect any image classification or object detection model, enabling confident deployments in crucial use cases.
Model tasks include image recognition, object detection, and more.


Tabular
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.
Model tasks include binary classification, multi-class classification, ranking, regression, and more.
Enterprise-scale
Robust Intelligence scales to the data sizes of the modern enterprise, allowing you to efficiently test across billions of rows with thousands of features.
Native Hugging Face integration
We make it simple to validate and protect the latest open-source models with our native Hugging Face integration, enabling you to confidently accelerate adoption using open source resources.
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.
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