Scientific AI Isn’t a Scaling Problem. It’s a Data-and-Reasoning Problem.

Innovator-VL argues scale isn’t destiny: with ~5M curated examples, native-resolution vision tokens, and RL-for-reasoning, it matches bigger models—reproducibly.