Neurometric AI Raises $4M for Token Engineering Platform

Neurometric AI, a startup focused on managing the cost and performance of AI workloads, has raised $4 million in a round that closed earlier this year, the company said Thursday. The funding coincided with the launch of its automated token engineering platform.

The platform routes each AI task to the most cost-effective model that still meets the required quality bar. When no existing model fits, it generates a purpose-built small model on the fly. The idea solves a practical problem: as companies run more AI agents in production, the bill for API calls to large models climbs fast.

The funding round comes as model providers like OpenAI and Anthropic push pricing higher for advanced reasoning models. Tools that manage that cost without sacrificing output quality are becoming a necessary part of the infrastructure stack. Neurometric competes in a growing niche alongside other routing and orchestration platforms, though none have yet dominated.

Token engineering, in this context, refers to selecting the optimal model and token usage for each request, rather than any blockchain-based token. The company's pitch is that a one-size-fits-all approach wastes money. By routing cheap models for routine tasks and reserving expensive ones for complex reasoning, the platform cuts costs significantly for enterprise clients.

Neurometric did not disclose its investors. The company is based in New York and was founded in 2024.

The platform is live now, the company said.