Neurometric Raises $4M to Build the Infrastructure Layer That Matches Every AI Task to the Right Model

One early Neurometric customer cut a core AI workflow from $40,000 a year to $250 a month – and actually improved accuracy in the process. That kind of result is what happens when companies stop defaulting every task to the most expensive model available and start making those routing decisions automatically. This is the NYC startup that wants to do for AI token spend what FinOps did for cloud costs, and the logic behind why they think frontier models will never go away – but will stop doing most of the work.