Deterministic system

so I think that sort of you know answers yeah they help us understand the motion of molecules in a more sort of intimate way

yeah and Deterministic, training-free, 100% explainable for a farmer audience.

What does that unlock in practice? Novel targets, orphan and rare disease targets, data sparse therapeutic targets where machine learning and AI can genuinely struggle?

Again, lack of explainability is the big deal with AI.

And then as soon as they've been reviewed, hopefully they can push through and be deployed and everything is dealt with, which is the ideal world, right? And that's a mix of your deterministic and your generative and your AI functionality all pulled together to have that autonomous flow.

Yeah.

Yeah, and it's that mix, right? Deterministic is still important for a lot of use cases here.

You need to trust that the test has passed, right? You can't just trust the model saying that it is.

No, no, absolutely, 100%.

And so the two systems at play right now in the world are generative AI and deterministic AI.

Generative AI is something where you just let the tool do what it needs to do, and it can generate based on that.

Deterministic is you have protocols in place that medically say, don't ever recommend anything outside of this protocol.

Or this patient is being seen for this clinical visit.

Unless an emergency symptom comes up, please only go to this.