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