AI systems today are unreliable the same input can produce different outputs, with no traceability or enforcement. Manthan approaches this differently by treating decisions as deterministic, auditable, and enforceable units instead of probabilistic outputs. It introduces decision infrastructure for AI systems where reliability is not optional.
Hey everyone — Pavan here, founder of Manthan.
I’ve been thinking deeply about one core issue:
AI systems don’t actually make decisions ,they generate outputs.
That makes them unreliable for anything critical.
Manthan is an attempt to approach this differently by making decisions deterministic, traceable, and enforceable.
This is still early, and I’d really value feedback from people building AI systems or thinking about reliability and governance.
Happy to answer any questions.
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