Independent quantitative AI risk metrics and insights across your LLM portfolio.
Our approach is not to replace your existing AI investments. Instead, our AIMI platform sits as a layer on top of current AI assets or embedded within your existing workflow.
Are users submitting private information to the AI model and is the AI model generating private information?
Is the model generating content that could be considered toxic? This includes hate speech, disrespectful content, racism, homophobia, and more.
Does the model exhibit biased behavior by performing differently for different groups of people (with respect to sensitive attributes).
Detection of model manipulation attempts via prompt injection and data poisoning attacks.
