Zephyr DX
AI-assisted Zephyr development grounded in upstream source, board configuration, drivers and hardware tests.
- Board and SoC context
- Modules and customer applications
- Build, test and device evidence
Embedded DX
A tailored AI environment for the embedded engineering stack.
Embedded DX brings approved open-source projects, customer code, toolchains and validation into one controlled engineering environment. It is adapted to the platform rather than imposed as a generic code generator.
Four ecosystems. One engineering standard.
Each DX environment is configured around the repositories, hardware and evidence required for the customer programme.
Yocto DX
A controlled environment for Linux BSPs, Yocto layers, images, update strategy and long-term platform work.
- OE and vendor layers
- Kernel and BSP sources
- Build, CVE and SBOM evidence
FPGA DX
Assisted FPGA and embedded-logic workflows connected to HDL, IP, tool outputs and verification results.
- Customer and reusable IP
- Simulation and synthesis
- Reviewable verification evidence
Mobile DX
Connected-device engineering across mobile applications, device APIs and embedded product interfaces.
- Customer application source
- BLE, API and update flows
- Device and application testing
Understand. Generate. Validate. Enable.
The system supports engineers; it does not replace the person accountable for architecture, review and release.
Understand
Structure requirements, dependencies, interfaces and platform constraints before code generation.
Generate
Produce bounded changes with source context, conventions and acceptance criteria attached.
Validate
Build, static analysis, tests and hardware results become part of the evidence chain.
Enable
Patterns, prompts, review gates and training are transferred to your engineering team.
Deliverables
Constraints are a feature, not a limitation.
Embedded work has electrical, timing, memory, safety and security realities. Embedded DX keeps those constraints visible to every assisted step.
- Source-linked outputs
- Change boundaries and review ownership
- Reproducible builds and automated checks
- Hardware-in-the-loop confirmation
- Clear release accountability
Team enablement
AI for Embedded Engineers
A 120-hour program over six months for teams that want repeatable productivity without weakening engineering standards.
Start with the technical context
Bring us the hard embedded problem.
Tell us the board, the current software baseline and the target milestone.
Discuss Embedded DX