Mubit Information

Knowing whether an agent succeeded or failed doesn’t always tell you which decisions led to that result. And identifying a mistake doesn’t automatically change what the agent does next. Mubit connects outcomes to the decisions behind them, helping teams understand what worked, what failed and why. It then uses those findings to calibrate models through versioned, reversible updates that change how agents handle similar tasks. We think understanding what went wrong should lead to a better decision next time.