DeepEdge builds the full stack — hardware devices, on-device models, and the software layer between them — making AI run privately, efficiently, and intelligently with minimal dependency on the cloud.
Deep Edge CEO Albert Lee was invited to lead a ZPilot study session on OpenClaw, covering safe usage, setup readiness, and practical skill workflows for new users.
Read more
Aquamind officially introduced at the Hong Kong Toys & Games Fair, attracting interest from designer toy IPs and partners.
Read more
CEO Albert Lee and advertising expert Winton Choi led a hands-on workshop on weaving AI through the full product lifecycle.
Read more
Looomyn made its public debut in Shanghai, drawing crowds and meeting guests including Hugging Face CSO Thomas Wolf and DeepSeek's founder.
Read more
A specialized AI training session for China's top students at Shenzhen InnoX Academy, covering hands-on AI applications and edge technology.
Read moreWe work at the intersection of embedded hardware and machine learning — optimizing models through quantization, pruning, and on-device fine-tuning so that real AI intelligence can live inside constrained devices.
This is technically hard, sparsely competed, and increasingly critical as the world moves computation closer to the user.
Inference runs primarily on-device. Sensitive data stays local by default — privacy is structural, not a setting.
Model compression through quantization and pruning delivers state-of-the-art intelligence in milliwatts.
Proprietary on-device memory architecture makes deployments personalize and deepen over time — without forced cloud sync.
We own hardware, models, and the software layer between them — enabling optimizations impossible with third-party components.
DeepEdge's compounding capability lies in our ability to compress, optimize, and deploy AI to the edge — and in the proprietary on-device memory architecture that makes those deployments smarter over time.
Our products demonstrate the DeepEdge platform in practice — both as commercial offerings and as working demonstrations of what constrained, private, on-device AI can achieve.
B2B Platform
DeepEdge's B2B platform enabling brands and institutions to deploy intelligent AI ambassadors across locations. Powered by edge-native models with on-device personalization memory — minimal cloud dependency, full brand control.
Consumer
An AI companion built around personalized astrology, Bazi analysis, and deep relationship memory — running primarily on-device. Looomyn knows you, and only you.
Consumer
A premium desktop holographic AI device. Oracube brings an ambient, intelligent presence into the home — powered primarily by on-device models.
Education
Purpose-built edge AI hardware for children's learning. Wondr Cam is the first agentic camera — it sees, reasons, and explains the world to curious minds, all on-device.
The hard technical work of making AI small enough, fast enough, and smart enough to run privately on constrained hardware.
We reduce model size and compute cost without sacrificing intelligence — enabling LLM-class reasoning in embedded devices.
Models continue learning on the device itself — no data ever transmitted. Personalization deepens entirely within the local hardware boundary.
Our on-device memory system enables long-term relationship memory across sessions — the foundation of truly personal AI.
From compact companion chips to desktop AI hardware — our software layer abstracts deployment complexity across device form factors.
