Python architecture enabling data scientists to test AI models and data across the MLOps lifecycle.
We provide collections of bespoke testing tools, configured for a specific function.
Comparative testing of two or more AI models on a Whitebox (open access) or Blackbox (closed) basis.
A model and dataset registry for determining which model is fit-for-purpose.
Advanced Adversarial AI tooling, designed to identify and reveal AI susceptibility to malicious influence and attacks.
Inhuman intelligences make inhuman mistakes.
Our aim is to convey to non-technical stakeholders that the mistakes AI systems can make are counterintuitive: they can be incredible at one advanced task but can get tripped up over something a human would think is obvious.
So: you need inhuman assurance methods!
Don't wait for critical AI to break before you fix it. Discover the operational limits of AI in the lab, don't wait to stumble into these limits in the field.
Keep your models at peak performance by
identifying the limits
Real people, thinking outside the [closed] box
As well as our next-generation tools and platform, Advai provides consultancy services to improve model robustness, and protect against adversarial AI.
We can work with your business to increase awareness and understanding as well as provide, training, red-teaming and reports for topics related to Adversarial AI, Robust AI and AI Regulation.