The AI platform for embedded software.Validated on real hardware.
Flash gives AI agents deep hardware-aware context from your firmware, schematics, datasheets, and board logs — so they can build, debug, test, and validate on real devices. Run local or cloud models with production-ready performance.
30-minute engineering eval: board map, init plan, and first firmware diff.
Run locally, on-prem, or in the cloud. No public AI APIs required.
- 11+
- MCU SDKs
- 12+
- RTOS / platforms
- 6
- EDA formats
- 0
- data leaves your network
Works across your embedded + AI stack
Firmware & SDKs
RTOS & frameworks
Hardware design
Local & cloud AI
+ more integrations
See it run
Not a chat box. A board-aware engineering surface.
One engine, two surfaces: the Flash CLI in your terminal and Flash Desktop. Board model, firmware context, build output and the serial-debug loop — all on your machine.
flash · CLI — the real TUI layout
Illustrative mock of the Flash terminal UI: a chat transcript adding a BME280 i2c driver — plan, datasheet lookup, a file edit awaiting approval, the build and the serial read — next to a board panel with the Platform, System and Peripherals views.
- 1resolve BME280 · datasheet from cache
- 2add component bme280 — i2c driver + 2 s sampling task
- 3build for esp32c6 · flash · verify on serial
Allow edit? components/bme280/bme280.c
- yes, and don't ask again for this file
- yes, once
- no, tell Flash what to do differently
↑↓ move · ↵ confirm · esc deny
I bme280: 24.8 C · 41 %RH
ESP32-C6normalized
Illustrative mock of the Flash Desktop shell: a sidebar of chats, the same BME280 conversation with tool cards and an approved diff, and a board dock carrying Project, Build and Debug.
Illustrative data · read-only demo — every tab, sub-tab and view control works
The problem
AI can already write code. It still can’t reach your board — or your IP.
Two separate gaps, and most teams hit both. Fixing one without the other leaves the tool unusable in the lab.
The model doesn’t know your hardware
It has never seen your schematic, pin map, clock tree, SDK version or power rails. Four things stay manual:
Reconstruct the board
Read schematics, trace pins, identify buses, check clocks, map peripherals.
Translate hardware into SDK configuration
Pin muxing, peripheral setup, init code, build settings.
Apply senior embedded judgment
Clock trees, reset circuits, voltage domains, bus timing, SDK quirks.
Debug the hardware–firmware gap
Wrong SPI mode. Invalid alternate function. Missing pull-up. Clock mismatch.
And the assistants that could help can’t run where your IP lives
Every useful answer costs you a copy of the design. For most hardware teams that price is not payable:
Cloud-only by design
Every prompt ships schematics, firmware and board data to a third-party API.
The contract already forbids it
NDA’d customer designs, defence, medical and automotive programmes.
The bench has no internet
Air-gapped labs, secure sites, export-controlled projects.
So the tool gets banned
Or used off the record on a personal account — which is the worse outcome.
Flash is built so that closing one gap never opens the other.
Architecture
One platform. Any approved model.
Flash builds the hardware context itself — that part never leaves your machine. The model is a slot: a local runtime, a private endpoint, a frontier API, or a hybrid split. Your security policy picks it, not us.
OLLAMA · LM STUDIO · LLAMA.CPP · OPENAI-COMPATIBLE · OPENAI · ANTHROPIC
BOARD STATE, BUILD OUTPUT, TRACES AND FAILURES RETURN TO THE CONTEXT ENGINE
ANSWERS GAP 01
The context engine is the product. It reconstructs the board once and keeps it loaded across bring-up, integration and debugging.
ANSWERS GAP 02
The model layer is swappable. Air-gapped labs run fully local; regulated teams run private endpoints; the rest can use frontier models or split the work.
CLOSES THE LOOP
Nothing is accepted because the model said so. Build output, traces and failures come back as evidence.
Better firmware generation starts before the model generates code.
Why Flash
The same task, with and without the board.
The difference is not the model — it is the hardware context around it, and where that context is allowed to run.
Hardware context
Generic AI assistants
You describe the board manually every session
Flash
Reads schematics, datasheets, specs, and existing code
SDK targeting
Generic AI assistants
Guesses from broad training examples
Flash
Targets your SDK version, APIs, and build system
Where it runs
Generic AI assistants
Cloud-only. Your design leaves the building
Flash
Local, private, or hybrid — inside your security boundary
Debug loop
Generic AI assistants
You paste errors into a new prompt
Flash
Reads build logs, runtime errors, and debug output to iterate
Impact
Built for how embedded teams actually work.
Close the hardware feedback loop
Flash keeps board and firmware context loaded while you iterate through build logs, runtime errors, and debug feedback.
Reduce repetitive bring-up work
Flash handles repetitive bring-up, driver init, and boilerplate so senior engineers focus on architecture.
Help junior engineers move with senior context
Flash explains constraints, trade-offs, and patterns as it works, so juniors move faster without flying blind.
Stop explaining your hardware to tools that don't understand it.
Flash is in private beta. Request a demo and we'll run Flash on your board using a private, local-first workflow.
No commitment · Board map, init plan, and first firmware diff · 30 minutes · Private deployment available
Private / air-gapped deployment → request a secure deployment demo