MissionPCB
MissionPCB is the first end-to-end AI hardware engineer that designs PCB boards and circuits for very specific applications (such as Med-Tech, Space-Tech, or Auto-motives) that have many product constraints.
Core trick
Translates a product sentence into thermal, RF, and noise rules from datasheets, then checks and iteratively revises the PCB layout until failures reach zero.
Description
MissionPCB is the first end-to-end AI hardware engineer that designs PCB boards and circuits for very specific applications (such as Med-Tech, Space-Tech, or Auto-motives) that have many product constraints. Some examples of these constraints include temperature, moisture, RF, sound, signals, etc. that could render entire boards useless once fabricated. Currently, no existing PCB designing tool or AI system is capable of learning about these design constraints or applications. This forces electrical and computer engineers to spend countless hours designing, fabricating, and reiterating. In MissionPCB, you describe your product in one sentence, like "a rechargeable heart monitor worn on the chest for seven days," and MissionPCB does two things. An AI reads that sentence and turns it into a set of engineering rules. For example, something like "worn against the skin" actually means a surface temperature limit. GPT Astra parses for these specific constraints, checks the board against those rules, and does the math to design the board automatically. It doesn't just grade the board either. It rearranges it, taking our initial design from multiple failures to zero, and pushes the fix into tools engineers already use like KiCad and Blender. Every specification and design choice traces back to a page of a manufacturer's datasheet.
README excerpt
# MissionPCB **An AI hardware engineer that generates PCB designs from real-world mission constraints and validates them with simulation before you build.** Most AI PCB tools are fast schematic assistants. MissionPCB is something different: it starts from the *mission* — the real product the board must live inside — and works backwards through mechanical fit, heat, RF interference, and sensor reliability before a single trace is drawn. --- ## The Core Idea Hardware projects fail on constraints that live outside the schematic: - A component fits on the board but not inside the enclosure. - A hot regulator is too close to skin, a battery, or a temperature sensor. - A switching regulator's noise floor masks the microvolt signal the AFE is trying to measure. - A BLE antenna sits next to a metal battery can, and range collapses even though every trace is correct. Existing AI PCB tools can draw circuits. MissionPCB answers the questions that come before and after routing: > Will the board fit? Will it run hot? Will it interfere with itself? Does the design still work under real operating conditions? --- ## Architecture: Judgment vs. Arithmetic The system has a hard split that must stay clean. **A language model sets the rules.** "Worn against skin all day" has no closed form. Turning it into `skin_contact: true` and `max_surface_temp_c: 43` is engineering judgment — only a model can make that call. The same applies on the way out: explaining *why* a failure matters in p