As AI models grow larger and more computationally intensive, deploying advanced intelligence has increasingly required massive datacenter infrastructure. This limits real-time, on-device AI experiences due to latency, hardware, and privacy constraints.

PrismML addresses this challenge by fundamentally rethinking neural networks at the mathematical level. Instead of traditional 16- or 32-bit architectures, the company creates models with a native 1-bit structure. This dramatically reduces inference compute and memory requirements without sacrificing reasoning performance.

On a range of intelligence benchmarks, 1-bit Bonsai 8B is competitive with leading full-precision 8B models, including Llama3 8B, while being:

• 14x smaller
• 8x faster
• 4-5x more energy efficient