Human Aligned, Planet Safe
CPU-Native
Next-Generation AI.
Reduces training and inference costs by over 100×
Who we are
We deliver AI optimized for maximum performance per watt from silicon to deployment.
Over 100× lower energy consumption in comparable reasoning workloads, achieved through symbolic rather than matrix computation.
Architectural AI efficiency reduces power and cooling demands, increases rack density, and enables scalable deployment within existing power and thermal budgets.
Why GPU Costs Crush AI Budgets. And How to Avoid the “GPU Tax”
Traditional language models are built on dense, compute-heavy architectures originally designed for large-scale statistical pattern matching.
Solutions for
Chipmakers
Stronger performance-per-watt benchmarks
Higher silicon utilization across broader workloads
Clear differentiation without custom accelerators
Server Manufacturers
Higher AI density on standard server SKUs
Lower cooling and power requirements per system
Faster time-to-market for AI-enabled offerings
Data Centers
Predictable scaling within existing power and thermal budgets
Higher rack utilization and lower operational overhead
AI deployments that align with long-term infrastructure planning
Our Story