We don't just fine-tune or wrap existing intelligence. At PlusB Intelligence Lab, we engineer native architectures designed for a post-cloud future.
Designed to run flawlessly on low-quality, consumer-grade hardware. We heavily optimize inference pathways to democratize powerful AI capabilities without heavy infrastructure dependencies.
Despite the reduced parameter footprint, our models demonstrate emergent reasoning and high comprehension typically reserved for massive data-center models.
By rethinking the fundamental transformer architecture and memory bounds, we drop the computational cost of intelligence by orders of magnitude for sustainable scaling.
Our first proof-of-concept for highly-efficient intelligence. Proved that careful data curation and novel attention mechanisms could match much larger state-of-the-art systems on core reasoning tasks with a fraction of the hardware.
A significant architectural leap. Achieves state-of-the-art conversational dynamics and logical deduction while retaining the low-cost, low-hardware footprint established by its predecessor. Introduces dynamic context routing for improved multi-turn reasoning.
"Our ultimate objective is a ubiquitous intelligence layer—models that are so lightweight they can be embedded everywhere effortlessly, while remaining capable enough to solve complex, real-world problems."