The Power of Brain-Inspired Computing
The Power of Brain-Inspired Computing
Huge data centres can use over 20 megawatts of electricity to juggle streams of data. Meanwhile, the human brain can have the same amount of operations, managing similarly complex tasks using mere 20 watts - as much as a lightbulb
Compute in memory
In a typical computer, information constantly travels between the processor and memory, burning energy just to move data around. Compute-in-memory puts the "brain" where the data lives—no more shuttling information back and forth. With logic built directly into memory, your system processes data faster and uses far less power.
Event based processing
Our brain like our chip, doesn’t waste energy on idle neurons. It fires only when it matters, ensuring that every spike of activity delivers meaningful insight. Using event based processing instead of running all circuits at full throttle, it activates its spiking neural networks (SNNs) only in response to essential signals. This selective, event-driven approach trims power usage, slashes data movement, and unlocks remarkable efficiency gains.
Cut cloud connection
With sparse networks and compute-in-memory architectures, our hardware brings advanced AI processing directly onto the device—no lengthy trips to distant servers required. By filtering and acting on critical information right at the edge, you reduce energy usage, cut down on bandwidth, and keep sensitive data closer to home.
Transparent AI Processing for Medical Devices
In healthcare, where AI decisions affect human lives, transparency isn't just a feature—it's a responsibility. While most AI systems hide their decision-making process, our hardware reveals it.
The BIOT chip supports efficient processing that maintains traceability of AI operations.
Our technology enables:
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Traceable AI processing paths
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Simplified AI Act compliance
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Enhanced confidence in device decisions
By building transparency directly into the hardware, we create AI that we have reason to trust. This isn't just about meeting regulations—it's about creating a fairer future for healthcare, where every AI decisions are clear, traceable, and serves people equally.