Brain On Chip
AI is locked to multi-layer SOFTWARE and expensive HARDWARE for training/deploying small & large models for commercial use.
Our Hardcoded RNU circuit architecture is challenging the delicate balance between velocity, energy efficiency, affordability, and compactness. Validated on a FPGA micro-processor; not ideal, but scaling to ASIC will unlock a new era of programmable AI computing.
97% Energy Reduction
Our HARDCORED RNU uses gated circuits to model entirely programmable neural network workflows free from software, and reduce cost by 1/20th.
Our highly optimized design reaps the benefits of both enhanced performance and superior energy efficiency.
Designed for Scale
Our Hardcoded AI Chip acts like neurons in the brain, in which a trained AI model gets converted into a fixed programmable circuit structure within the chip; called the Reconfigurable Neural Units (RNU).
Our chip receives direct input for blazing fast transmition and processes it along a fixed link in the chip.
AI Safety
Our solution does not require cloud-based services or general-purpose CPU & GPU, beyond the necessary input devices and output specifications for your desired application. This facilitates local computation, ensuring that your most sensitive interactions and data remain secure and within your control.
