parallel acquisition
Per complete update.
Remove the control bottleneck
from hybrid computing.
Without TrueLoop, keeping the physical device accurate takes more digital time as the system grows. With TrueLoop, sequential hardware visits stayed flat across the tested range.
digital work
Per control cycle.
channels maintained
Independent simulation.
Keep logic and orchestration digital.
The host runs the application.
Read the architecturePut dense physical transforms in hardware.
The device does what physics does best.
See photonic systemsKeep the maintenance loop beside it.
Control stays within the hardware's time and bandwidth budget.
See analog AIWhat this unlocks
A larger physical compute design space.
On-device intelligence
Photonic and analog AI coprocessors.
Data-centre acceleration
Quantum and photonic systems.
Autonomous field systems
RF, radar, sensing, and communications.
Production engineering
Simulators, digital twins, and hardware in the loop.
On-device AI
The weights stay in physics.
Only vectors cross the boundary.
8 layers. 8.4 million simulated analog weights. Fidelity held under drift.
The maintenance layer is demonstrated in simulation. An end-to-end physical hybrid AI system is not yet demonstrated.
Digital orchestration
Training, semantics, routing, planning
Physical forward pass
n² resident transforms with n-vector input and output
Stability contract
One parallel read, O(n) work, bounded memory per channel
Why this matters