Run complex ML models on custom edge Accelerators. We bridge the gap between heavy AI models and constrained edge devices.
Discover the TechPioneering the future of decentralised AI processing.
We compress and optimize state-of-the-art ML models (LLMs, Vision Transformers) to run efficiently on low-power devices without sacrificing accuracy.
Design and deployment of bespoke NPU architectures tailored for your specific inference workloads, maximizing TOPS/Watt performance.
Full-stack support from model training and quantization to hardware deployment on our custom silicon solutions.
Our custom hardware architecture eliminates the bottlenecks of general-purpose GPUs. By optimizing memory access patterns and computing units for inference, we achieve unprecedented efficiency.
Faster Inference
Less Power
Latency Issues
Whether it's drones, smart cameras, or IoT sensors, our platform ensures your models run reliably across thousands of distributed devices.
Founded by an industry veteran with over two decades of experience in VLSI design across multiple technology nodes. We don't just write code; we understand the silicon it runs on. This deep hardware expertise allows us to design accelerators and optimize models that defy conventional performance limits.