The Enterprise AI Platform For Embedded Software

Embedder's catalog covers 500+ platforms across 13 manufacturers and 5,500+ peripherals, from sensors and radios to power, displays, memory, and connectors. You can add custom platforms and peripherals with their documentation and target details.

Altium, KiCad, Eagle, PADS, and Xpedition. Embedder turns native design files into board context—including components, nets, pin assignments, addresses, and power topology—so the firmware reflects the board you built.

C, C++, and Rust across bare-metal and RTOS projects. Embedder works with the stacks already in your repository, including FreeRTOS, Zephyr, nRF Connect SDK, ESP-IDF, STM32Cube, and MCUXpresso.

Yes. Linux-class boards such as Raspberry Pi and other application processors work alongside MCU targets, with the same repository, documentation, and hardware context.

Embedder brings your codebase, hardware documentation, schematics, toolchain, and live board into one engineering loop. It carries a task from understanding the requirement through implementation and physical verification, using each build, serial log, debugger state, or instrument capture to guide the next step. The result is a reviewable change backed by evidence from the target hardware.

Embedder creates and runs checks at the right layer: host tests, target builds, flash-and-serial smoke tests, debugger assertions, or bench measurements. It coordinates reusable hardware scripts with probes and instruments, then preserves the commands, captures, and pass/fail evidence with the project.

No. Embedder works in your existing repository with the compiler, build system, flasher, debugger, RTOS, and CI you already use. The VS Code extension is the primary interface; the CLI and daemon bring the same project context to terminal, GitHub, Slack, and CI workflows.

Engineers define the task, can review a cited plan before work begins, inspect every diff, and choose which actions need approval. Session and project policies govern file writes, commands, and external actions, while hardware arbitration and hard safety checks remain active.

Embedder checks register values, bit fields, timing constants, and pin assignments against the exact datasheet, reference manual, SVD, schematic, and errata. It cites the source behind hardware-specific decisions and flags unsupported values for review.

Embedder treats hardware access as a controlled operation. Programming and flash actions can require explicit approval, and an exclusive hardware lease prevents multiple sessions from driving the same board or probe at once.

You retain ownership of your source code, schematics, documentation, and data. Secure-cloud deployments process the context needed to provide the service, and neither Embedder nor its model providers use that content to train generalized AI models. On-premises deployment keeps the work inside infrastructure you control.

Bring a firmware repository, VS Code, a representative board, its documentation, and your normal flash or debug connection. Install the extension, select the hardware, run /init to capture the project's build and test workflow, and connect the Monitor for live verification.

Pricing is scoped case by case based on your team, deployment, and requirements.