The Enterprise AI Platform For Embedded Software

Embedder works with major semiconductor ecosystems, covering more than 500 MCUs in total. Not seeing your part? There’s no approved-parts list: any part with a PDF datasheet can be brought into scope through custom upload, usually same-day.

The catalog covers 4,000+ peripherals, not just the blocks inside the MCU but the long tail of the bill of materials: sensors, radios, power management, displays, memory, and connectors. In-house and custom components come in the same way, by uploading their datasheets, so a board built around your own module is as legible to the agent as a vendor reference design.

Altium, KiCad, Eagle, PADS, and Xpedition. Schematics are parsed from native design files, not exported PDFs, into a queryable graph: components, nets, pin assignments, pull-ups, and power topology, so the agent knows what’s actually wired to what on your board.

C throughout, with C-to-Rust porting for safety-critical paths. FreeRTOS and Zephyr are supported natively, with migrations from ThreadX and bare metal.

Yes. Embedder supports embedded Linux projects alongside MCU-class Cortex-M, RISC-V, and Xtensa targets. If your product spans an application processor and an MCU, Embedder can work across both sides of the stack.

Embedder plans by turning datasheets, schematics, and your existing code into a concrete specification with citations back to the reference manual; acts by generating firmware and verifying it against real hardware; and debugs by running root-cause analysis against the live board and connected test equipment. Engineers approve the plan before code is written and review every change as a normal pull request; the loop runs on its own, the merge stays human.

Embedder generates hardware-in-the-loop tests from your part’s documentation, runs them on real silicon, and when a test catches a regression, patches the firmware and re-verifies on the board. It drives the instruments already on your bench, including debug probes, logic analyzers, power profilers, oscilloscopes, and programmable power supplies. That is more than 30 integrations, plus ingestion of exported logs and traces from anything without an API.

No. Embedder runs in VS Code alongside the toolchain you already use, works in your existing repos, and lands changes as pull requests. The same CLI your engineers run at the bench runs inside your CI, so hardware tests gate merges without new infrastructure.

Generic AI writes plausible code; Embedder verifies code against your actual hardware. Every generated value is cited to the reference manual or flagged, and every change is tested on the live board before it ships. It’s also cheaper to run: benchmarked across multiple customer environments, Embedder’s harness used 40%+ fewer output tokens than a general-purpose coding agent doing the same work.

Spec-first planning means you review and approve a cited plan before any code exists. You can configure autonomy as complete, partial, or none. With partial autonomy, approval policies are set per operation, so engineers can gate any action—including every operation that interacts with hardware.

Every value the agent emits is checked against the reference manual, SVD device file, schematic, and vendor errata before it reaches hardware. Anything without a source is flagged for human review instead of shipped.

Destructive operations like flash erase and fuse programming require explicit human confirmation, hardware I/O is rate-limited so a runaway loop can’t burn out a part, and instrument access is arbitrated so parallel agents never fight over the same JTAG line.

Your firmware, schematics, and documentation stay under your control, and every query and derivation is logged so you can trace how any value made it into your code. For enterprise teams, on-premises and air-gapped deployment options are available.

A board, its datasheet, and a probe you already own. That’s the whole setup: drop the documents into a project, plug in the board, and the first result shows up on the serial terminal inside the hour.

Plans are scoped to the team and the hardware, so the honest answer is a short call rather than a pricing table. Evaluation periods are available if you’d rather see it work on your own board before committing.