Physical AI on edge devices
Give robots, drones, vehicles and industrial machines AI that sees, decides and acts in real time, running on the device itself rather than in the cloud.
Edge AI · Any processor
AI that runs on the device.
On every XPU.
EdgeAI XPU builds the software that takes AI models from the cloud onto edge hardware, and makes them fast, small and power-efficient on whatever processor the device has.
- NPU
- GPU
- DSP
- CPU
- MCU
Our objectives
Where we're headed
AI on every XPU
Make AI models run fast, small and power-efficient on whatever processor a device has: NPU, GPU, DSP, CPU or MCU.
What we do
From trained model to shipping device
01
Optimize
Quantization, pruning and graph-level tuning that shrink models to fit edge memory and power budgets while keeping accuracy.
02
Map to the XPU
Compile and partition each model across the NPU, GPU, DSP and CPU on the chip, so every part of the network runs where it runs best.
03
Deploy & measure
Run on real hardware, profile latency and energy, and ship a runtime that behaves the same in the field as it did in the lab.
Why the edge
Faster, private, and always on
- Low latency. Decisions happen on the device, with no round trip to a server.
- Privacy by design. Audio, video and sensor data stay where they were captured.
- Works offline. Products keep working without a network connection.
- Lower cost. Less cloud compute and bandwidth for every unit shipped.
Leadership
Founders
SA
Surbhi Agarwal
Founder & CEO
Leads EdgeAI XPU's strategy, operations and partnerships.
AK
Ayush Kansal
Co-founder
Builds the software behind EdgeAI XPU's platform and products.
Bringing AI to your device?
Tell us about your hardware and your model. We'll get back to you.
hello@edgeaixpu.com