Crystal-Based Photonic Hardware for Edge AI Inference
The global AI industry is approaching fundamental physical limits in semiconductor performance, energy, and thermal management.
Two proprietary compute engines built on non-von Neumann photonic principles.
| Metric | Current Silicon | Crystallum AI |
|---|---|---|
| Power Draw | 250–400W per unit | 1.2W per unit |
| Cooling Required | Active liquid / forced air | Passive ambient |
| Inference Speed | 12–80ms latency | <0.4ms latency |
We are actively seeking research collaborators, deep tech investors, and strategic industry partners to accelerate commercialization of photonic AI hardware.