Each nearbAI core is an ultra-low power neural processing unit (NPU) and comes with an optimizer / neural network compiler. It provides immediate visual and spatial feedback based on sensory inputs, which is a necessity for live augmentation of the human senses.

• Optimized neural network inferencing for visual, spatial and other applications


• Unparallelled flexibility: customized & optimized for the customer s use case


• Produces the most optimal NPU IP core for the customer s use case: power, area, latency and memories trade-off


• Minimized development & integration time

Ideal for battery-powered mobile, XR and IoT devices


Why nearbAI?
Highly computationally efficient and flexible NPUs

• Enable lightweight devices with long battery life ... with ultra-low power, run heavily optimized AI-based functions locally


• Enable truly immersive experiences ... achieve sensors-to-displays latency within the response time of the human senses


• Enable smart and flexible capabilities ... fill the gap between swiss-army knife XR / AI mobile processor chips and limited-capability edge IoT / AI chips

Let s do a custom benchmark together:
provide us with your use case:

- Quantized or unquantized NN model(s):
ONNX, TensorFlow (Lite), PyTorch, or Keras

- Constraints:
Average power & energy per inference, silicon area, latency, memories, frame rate, image resolution, foundry + technology node