Hyperspace AI is building the next generation of ultra-efficient edge AI compute. 

We enable faster, more private and energy-efficient AI inference for consumer electronics, wearables, robotics, industrial systems and embedded applications.


At the heart of our technology is the Hyperspace Transformer Core — a purpose-built ASIC architecture designed to run language models, edge AI models, ASR, voice user interface and other transformer-based workloads directly on MCU class processors.

The core is supported by our own transformer library, compiler primitives and compiler stack, allowing models to be mapped efficiently from high-level frameworks down to the underlying hardware. This hardware/software co-design gives us control across the full inference path — from model operators and memory movement through to execution on the ASIC — with a particular focus on low power, low latency and efficient use of constrained on-device memory.

For further enquiry please contact admin@h-space.io