Embedded AI hardware · OEM / ODM
Engineering from board definition to production handoff
AIKerm helps product teams turn Rockchip-based requirements into considered carrier boards, embedded systems, and manufacturing-ready engineering deliverables.
Platform focus
A practical foundation for product teams selecting a high-capability or balanced embedded AI platform.
A platform for multi-sensor AI, media pipelines, and connected edge systems. We adapt carrier layouts to your camera, storage, networking, and mechanical needs.
A compact embedded AI direction for HMI, vision, and controllers where integration choices matter as much as the application processor.
Combine an application processor with a custom MCU companion board for real-time IO, control loops, and power-management responsibilities.
Program deliverables
A focused set of engineering outputs helps align product, firmware, mechanical, and manufacturing decisions.
Start with your requirementsTranslate interfaces, peripherals, power inputs, and enclosure constraints into a board-level direction.
Develop schematic and PCB implementation around the selected platform and required connectivity.
Coordinate hardware bring-up with BSP baseline, debug access, and practical integration checkpoints.
Plan fixtures, programming flows, and repeatable checks that support a controlled manufacturing handoff.
Engineering validation
Validation is built into the program flow, not added as an afterthought. Reviews are tailored to the interfaces and operating context of each design.
Program flow
Review platform, IO, form factor, operating context, and program priorities.
Develop schematic, PCB approach, power strategy, and integration details.
Bring up prototypes and document checks that guide the next design decision.
Prepare the engineering package, tooling plan, and production-support inputs.
Technical FAQ
Yes. An existing interface map, enclosure constraint, or reference design can serve as the starting point for a focused technical discussion.
The decision is shaped by application workload, interfaces, media paths, power budget, form factor, and the integration work around the processor.
Yes. A hybrid architecture can separate real-time IO or control responsibilities from the embedded Linux application side.
Share the intended application, target platform if known, key interfaces, physical constraints, and the questions your team needs to resolve.
Start a conversation
Share your application, interfaces, and constraints. The more context you provide, the more focused the engineering conversation can be.