Build Firmware
with AI Agents
Embedder is an AI agent that reads your datasheets, writes the code, flashes the board, runs the tests, and fixes its own mistakes — autonomously. Ship production-grade embedded software in days, not weeks.
- 500+
- Supported MCUs
- 3,000+
- Peripherals covered
- 30+
- Test instruments
Embedder is an AI agent for firmware that reads your datasheets, writes the code, flashes the board, runs the tests, and fixes its own mistakes — grounded in reference manuals, schematics, and errata, with closed-loop validation across 500+ MCUs, 3,000+ peripherals, and 30+ pieces of test equipment.
Datasheet Intelligence
Every line of generated code cites the reference manual section it came from. No hallucinated registers. No invented clock trees.
Learn More →Schematic Ingestion
Embedder reads your schematics alongside your datasheets — so generated code already knows how the board is wired.
Learn More →
Hardware Interaction
Embedder drives the test equipment your team owns — debug probes, logic analyzers, power profilers, oscilloscopes — and folds the signals back into the loop.
Learn More →Runtime visibility without leaving the session
Embedder reads serial output and drives GDB sessions, stepping breakpoints, inspecting registers and memory, and correlating runtime state with the code under review. Failures get diagnosed against what the chip actually did, not what the source implied.
Signals as reviewable evidence
Embedder turns logic analyzer captures and oscilloscope waveforms into structured data. Timing violations, protocol errors, and signal integrity issues surface as reviewable evidence, grounding firmware changes in the electrical behavior of the bus.
Every microamp accounted for
Embedder drives power profilers like Joulescope and Nordic PPK2 to capture current draw across a workload, correlates the high-draw windows back to what the firmware was doing, and proves every low-power change by re-measuring on real silicon.
Agent Orchestration
Embedder coordinates multiple specialized agents that build, flash, test, and repair firmware in a closed loop — turning multi-hour workflows into minutes.
Learn More →Divide complex tasks across specialized agents
Embedder decomposes multi-step firmware tasks into parallel subagent work streams that execute concurrently and merge their results.
Build, flash, test, fix — autonomously
The orchestrator chains compilation, flashing, runtime observation, and code repair into a tight loop. When a test fails the agent diagnoses the fault, patches the source, and re-validates without human intervention.
Hallucination Detection
Generic AI tools generate plausible-looking code, and in firmware plausible is dangerous. Embedder flags uncited registers, bit positions, and timing values for review.
Learn More →Every value checked against the source before it ships
Register addresses, bit fields, reset values, and timing constants are cross-referenced against the reference manual, errata, and SVD device files. When a value has no source, it's flagged and the agent is sent back to the documentation instead of straight to the board.
Uncertain values are flagged for review, not silently emitted
Each generated value carries a confidence score based on source corroboration, documentation recency, and how specifically it matches your exact part. Anything below your configured threshold surfaces for human review rather than getting quietly written into firmware.
Security &
IP Protection
Embedder runs against your most sensitive IP — schematics, source, and bench instruments. We hold ourselves to the same controls your security team expects from any vendor in the loop.
FAQ
Frequently asked questions about Embedder.
01Coverage
Which MCUs does Embedder support?
Embedder works with the major semiconductor ecosystems: STMicroelectronics (STM32), Espressif (ESP32), Nordic Semiconductor (nRF52/nRF91), Raspberry Pi (RP2040/RP2350), Microchip (SAM, PIC, AVR), NXP, Texas Instruments, Infineon, Silicon Labs, Renesas, and RISC-V families including SiFive, GigaDevice, and WCH — 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.Datasheet Intelligence →
Which peripherals does Embedder understand?
The catalog covers 3,000+ 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.Datasheet Intelligence →
Which EDA tools do you support for schematics?
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.Schematic Ingestion →
What languages and RTOSes does Embedder work with?
C throughout, with C-to-Rust porting for safety-critical paths. FreeRTOS and Zephyr are supported natively, with migrations from ThreadX and bare metal.Platform Migrations →
Does Embedder support embedded Linux?
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.Talk to an engineer →
02Workflow
How does Embedder work?
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.Agent Orchestration →
How does testing work?
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 — debug probes (J-Link, ST-Link, OpenOCD, GDB), logic analyzers (Saleae, Digilent), power profilers (Nordic PPK, JouleScope), and bench equipment including PicoScope, Siglent, and Rigol oscilloscopes and programmable power supplies — more than 30 integrations, plus ingestion of exported logs and traces from anything without an API.Automated Testing →
Do I have to change my toolchain?
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.Hardware Interaction →
How is Embedder different from Copilot, Cursor, or Claude Code?
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 on a customer’s firmware project, Embedder’s harness used 40%+ fewer output tokens than a general-purpose coding agent doing the same work.Hallucination Detection →
03Trust & Control
How do engineers stay in control?
Spec-first planning means you review and approve a cited plan before any code exists. Approval policies are per-operation, not all-or-nothing: autonomy on the boring work, explicit sign-off on anything that touches flash on a board you care about. Approvals show up where your team already works — PR comments, Slack, or the Embedder console — and the agent waits.Agent Orchestration →
How do you prevent hallucinated register values?
Every value the agent emits — register addresses, bit fields, timing constants, peripheral names — 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, and each value carries a confidence score based on how specifically its source matches your exact part.Hallucination Detection →
Can the agent damage my hardware?
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.Hardware Interaction →
Where does our IP go?
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.Talk to an engineer →
04Getting Started
What do I need to get started?
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.Rapid Prototyping →
What does it cost?
Plans are scoped to the team and the hardware, so the honest answer is a short call rather than a pricing table. Pilot projects are available if you’d rather see it work on your own board before committing.Request a demo →