Understand
Schematics, board documents, datasheets, SDKs and requirements become structured engineering context.
Embedded developer experience
Accelerate embedded work without giving up engineering control.
Embedded DX combines structured rules, specialised workflows and human review to turn technical documentation into traceable, reviewable engineering assets.
Offline capableOn-premiseHuman-in-the-loopTraceableReviewableTailored
A controlled workflow
From technical context to validated engineering output.
The system is adapted to semiconductor documentation, boards, SDKs and secure firmware processes.
Generate
Focused workflows produce draft drivers, firmware assets, configuration and technical evidence for review.
Validate
Builds, tests, traceability and engineering rules expose failures before an engineer accepts the output.
Enable
A structured adoption model transfers the workflow and operating discipline into the partner team.
Designed for embedded constraints
Engineering automation that respects the evidence.
Embedded systems cannot accept plausible-looking output as proof of correctness.
- Air-gapped or on-premise deployment options
- Task-specific workflows instead of one generic assistant
- Source traceability into generated assets
- Build and validation feedback loops
- Human approval before acceptance
- Team-specific rules and templates
Applicable workflows
- Datasheet and schematic understanding
- Driver and BSP scaffolding
- Devicetree and Kconfig assistance
- Firmware and test generation
- Documentation and traceability
- Engineering workspace enablement
Enablement model
Build the workflow with the people who will own it.
A 120-hour programme over six months combines an onsite foundation with structured mentoring through implementation, evaluation, validation and deployment.
Not autonomous sign-off
Embedded DX accelerates preparation and verification work. Qualified engineers remain responsible for architecture, review, testing, safety, security and release decisions.
Start a conversation
Choose one expensive, repeatable engineering workflow.
The strongest first use case has clear inputs, measurable outputs and enough repetition to justify controlled automation.