SynapseXY builds neuromorphic processors and neural interfaces: event-driven spiking silicon that sips power, and the hardware that lets neurons and machines talk.
Event-driven processors that compute only when signals arrive, like real neurons, for orders-of-magnitude lower power.
On-device intelligence that runs for years on a coin cell, because computation follows the spikes, not a clock.
High-channel-count electrode arrays and low-noise front-ends that read and write neural signals cleanly.
On-chip decoding of neural activity with the latency a closed-loop interface actually requires.
What is neuromorphic computing?
Hardware modeled on the brain: event-driven spiking neurons instead of clocked arithmetic. It computes only when signals arrive, which makes it extraordinarily power-efficient for sensory and temporal data.
Where does this beat a GPU?
Always-on, low-power edge inference on sparse, event-driven data, audio, vision, and biosignals, where a GPU's constant power draw is impractical.
What are neural interfaces for?
Reading and writing neural signals: restoring movement, sensing, and communication for people with neurological injury, and longer term, richer human-machine interaction.
Is the neural interface work invasive?
We work across the spectrum, from non-invasive arrays to research-grade implantable systems, with safety and ethics governing every stage.
How can we work together?
We partner with research institutions, medical device makers, and edge-AI companies. Reach out and we will find the right fit.
Neuromorphic silicon and neural interfaces, engineered for the real world.
Talk to UsA brain runs on roughly twenty watts and outperforms data centers at perception. The lesson is not faster arithmetic; it is a fundamentally different, event-driven way to compute.
Read more →Sensors produce sparse, asynchronous events, a pixel changes, a sound arrives, a nerve fires. Clocked processors throw that structure away. Neuromorphic chips exploit it.
Read more →Reading the brain is less about electrodes and more about extracting a tiny, noisy signal from a hostile environment without harming the tissue you are listening to.
Read more →An interface that only reads the brain is half a system. The moment you want to write back, to restore sensation or close a control loop, latency becomes a hard physiological constraint.
Read more →As intelligence moves onto devices that run for years on tiny batteries, the constant power draw of conventional accelerators becomes the limit. Brain-like computing is the way past it.
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