Standard context windows are reaching their physical and economic limits. At Nare Labs, we’ve developed DSM (Dynamic Segmented Memory) — a hybrid retrieval architecture that grants Small Language Models infinite-like memory with a 400,000x boost in computational efficiency.
Introducing our research lab focused on autonomous systems and reasoning.
A breakthrough in language model architecture that achieves 2.8x faster inference while maintaining state-of-the-art quality through dynamic expert routing.