When we started Avae, the goal was deceptively simple: How can we ensure that autonomous systems don’t hallucinate? In a world of generative noise, how do we ensure an agent can actually vouch for the decisions it takes?
We had to answer this philosophically, or better yet, from the perspective of human epistemology.
In human discourse, we don’t accept an opinion as “solid” just because it sounds confident. We vet it. we run it against other perspectives to see if it holds water. We engage in what the Greeks called an eristic - a type of dialogue focused on conflict and contradiction to reveal the strength (or fragility) of a position.
A thought isn’t solid enough to stand alone until it has survived a “hiccup”, a direct conflict. This isn’t conflict in a negative sense, bytt a design requirement. Why is “A,” A and not “B”?
We solved this with avae-forensic-1, our novel model designed to keep ideas in a state of oscillation until they reach a point of verified truth. By involving an adversarial intermediary, the system doesn’t just report a ledger entry; it audits the logic behind it against the entire stack.
Whether it’s handling a market move while you sleep or anatomy-level infrastructure tasks, the goal remains the same: Efficacy through friction.
We are now bringing this exact model to the most fragile environment on earth: Modern Finance. This is an industry with zero room for error and zero tolerance for the insouciance of traditional reconciliation tools.
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Avae runs in the background, ensuring that everything done across your stack is not just executed, but independently vetted and approved. We aren’t just moving money; we are proving that the money moved correctly, every single time, before the error has a chance to compound.
We are currently working with a select few partners who are tired of the silent failures of their legacy systems; institutions that understand that in finance, if a number hasn’t been challenged, it can’t be trusted.
If your institution is tired of guessing, let’s talk. raph at avae dot ai