Miami-based Subquadratic claims to have solved a decade-old mathematical bottleneck limiting large language models. The startup recently emerged from stealth, initially offering few details to back its assertions. It is now sharing evidence to prove the efficiency gains. If verified, this reduces the computational overhead required for scaling long-context windows.