Incubation

At The Semantic AI, incubation is where research themes turn into maintainable public systems.

Projects enter incubation when they are important enough to deserve sustained ownership, but still early enough to benefit from fast iteration across research, infrastructure, and community feedback.

Project 01

vLLM Semantic Router

vLLM Semantic Router is an open-source LLM router built to route every request to the best model with one system brain.

  • Unified routing across local, private, and frontier models.
  • Decision policies guided by cost, latency, privacy, and safety.
  • A control surface that connects inference routing with broader agent systems.
Type Open-source LLM router
Scope Local, private, and frontier model routing
Policy Cost, latency, privacy, and safety aware selection

What incubation means here.

Incubation is not just a label. Each project should have a thesis, maintainers, interfaces, and a visible path into a stable public surface.

Research Fit

A concrete systems question with community leverage.

Projects should unlock reusable lessons for the broader semantic AI stack, not isolated demos.

Build Surface

Clear maintainers and review paths.

Incubation requires named ownership, implementation boundaries, and explicit readiness criteria.

Graduation

A path to durable independent operation.

Successful projects should be able to stand as public infrastructure, programs, or community initiatives.