Costrike — Trainable Analog Neural Networks

> INITIALIZING ----- TRAINABLE ANALOG NEURAL NETWORKS...

COSTRIKE AI'S ANALOG NETWORK TAKES PURE ANALOG SIGNALS

IN AND MODIFIES THE SIGNAL TO PERFORM TRAINED OUTPUT FUNCTIONS.

THIS IS DONE BY TRAINING ANALOG NETWORKS TO LEARN PREDICTED OUTCOMES.

Universal Analog Compute - the evolution of digital.

HOW IT WORKS

Costrike’s analog networks process signals natively in hardware, delivering speed and efficiency without the heavy cost of digital conversion. By staying in the analog domain, our approach unlocks low-latency, ultra-low-power intelligence for real-world applications.

Inference

Our analog networks perform adaptive signal transformation directly in hardware. By processing sensor inputs entirely in the analog domain—without A/D or D/A conversion— they deliver ultra-low power, low-latency inference for speech, control, and sensor systems.

Let’s Talk

Want to explore applications, partnerships, or just brainstorm possibilities? Get in touch.