Deep-tech hybrid AI infrastructure
We build product infrastructure that pairs on-device Edge AI with core Frontier Cloud LLMs — including secure, isolated business jailbox context when large-scope work requires it.
Product, Not Projects
We believe that deploying machine learning to the edge should not require one-off custom projects. We build standardized, production-grade product infrastructure.
Cloud-Native Model Prep
Standardizing the complex pipeline of model quantization, optimization, and packaging using automated cloud-native workflows.
Edge + Cloud Routing
Small-scope work stays on silicon. Large-scope work escalates to Frontier Cloud LLMs under policy — with isolated context when business data is involved.
Standardized Infrastructure
Replacing fragile, custom-built deployment scripts with a robust, unified platform designed for scale.
Founder Expertise
ByteHub AI was founded on a deep discipline of low-level systems engineering and embedded software development.
Low-Level Systems
Years of experience in bootloader customization, kernel driver development, and Yocto/BitBake BSP layers for physical target chips.
Robust OTA Delivery
Deep expertise in secure, atomic over-the-air update frameworks (such as RAUC and SWUpdate) applied directly to model releases.
Hardware Bring-Up
Hands-on experience with i.MX9-class and Jetson-class hardware bring-up, bridging the gap between physical silicon and high-level software.
Pre-Seed & Self-Funded
We are an independent, highly focused deep-tech startup seeking design partners and ecosystem programs.
Design Partners
We are seeking early design partners to validate our runtime and ModelOps control plane on physical hardware fleets.
Ecosystem Programs
Engaging with silicon vendors and hardware ecosystem programs to ensure deep integration and out-of-the-box optimization.
Independent Growth
Self-funded and product-driven, allowing us to focus entirely on engineering excellence and solving real customer problems.
Collaborate With Us
Are you deploying machine learning to constrained physical hardware? Let's discuss how our infrastructure can accelerate your deployment.
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