Local AI.
Engineered for
embedded.
Run models on infrastructure you control. Flash prepares focused context from schematics, code, logs, and specifications—with cloud models only when you choose them.
On your machine.
Connect Flash to a locally running model. Keep project analysis and inference together on the machine where you build.
Your machine
Local analysis + local inference
Cloud models remain optional. Choose them only for the tasks where they fit your workflow.
Local AI, on real hardware.
Build an HC-SR04 driver with Flash CLI and a local model, then validate it with GDB.
Focused context.
Less token overhead.
Prepare the relevant engineering context for each task, instead of sending raw project dumps to the model.
Deterministic analysis prepares the context before the model runs. No LLM required for that step.
Your engineering.
Your boundary.
Keep sensitive hardware and firmware work within the environment your team controls.
Keep your project close.
Schematics, source code, and device logs can stay inside your environment, with analysis performed where the data lives.
Control model execution.
Use a local runtime or an endpoint your team hosts. Choose where inference happens alongside the rest of your engineering tools.
Choose what connects.
An external AI API is optional. Keep the workflow local, or enable a cloud model for the tasks you choose.
Run Flash on
your infrastructure.
Find the model and deployment that fit your team.