What do you really know about your AI?
LLMs are radically different from traditional machine learning models,
and the way that they are used is different as well.
Yet, many enterprises are assessing their behavior using the same old metrics.
We are building metrics that expose the traits and properties of AI that matter to your business.
Can you trust it? Will it act the way you expect? What will push it off the rails?
Our libraries and tools are designed to create evaluations that expose the real risks and value that you can
get from AI .
Measure first...
Being able to meaningfully characterise the properties of modern AI is just the first step.
A model ledger with a structure that supports the record keeping required by regulation like SS1/23 and
SR11/7
provide an immutable record of the meaningful properties of the model.
Chain of custody
Records in the ledger can be signed by corporate officers, regulators, or other stakeholders as having been
inspected and agreed.
This provides a crystal clear demonstration of process compliance and oversight.
This approach and infrastructure supports meaningful and high integrity model risk management, rather than
model risk theatre that can leave you dangerously exposed.
