From Text Prompt to Circuit Board: siliXon's Vision
UK-based startup siliXon has raised $1.5 million in a seed round led by German early-stage investor System.One, with participation from Antler, to build AI tools that generate complete printed circuit board designs from text prompts. The company aims to make hardware design as accessible as writing a software specification.
How Text-to-PCB Works
siliXon's approach treats circuit board design as a generation problem—similar to how large language models generate text or image models generate pictures from descriptions:
Input example: "Design a Bluetooth Low Energy sensor board with BME280 temperature/humidity sensor, LSM6DSO accelerometer, nRF52840 MCU, CR2032 coin cell power, 25mm circular form factor, I2C debug header"
Output: Complete schematic, component selection, PCB layout, BOM, and Gerber files ready for fabrication.
The system is trained on databases of existing PCB designs, component datasheets, and manufacturing design rules. For well-characterized patterns (IoT sensor nodes, motor controllers, LED drivers, USB hubs), the generation can produce reasonable first-pass designs.
The European Manufacturing Angle
siliXon explicitly frames its mission beyond just design automation. The company wants to "help Europe reclaim its technology supply chain" by:
- Lowering barriers to entry: If designing a PCB requires only describing what you want, more European companies can develop custom hardware without outsourcing design
- Enabling local manufacturing: Simpler, standard-geometry designs generated by AI are well-suited to European PCB fabricators
- Reducing prototype cycles: When iteration is cheap and fast, companies keep manufacturing closer to R&D
Where This Fits in the AI EDA Landscape
The AI-powered EDA market has rapidly segmented into three tiers:
| Tier | Company | Approach | Best For |
|---|---|---|---|
| Generative | siliXon | Text-to-complete-design | Beginners, rapid prototyping |
| Autonomous | Quilter | Schematic-to-layout | Professional engineers, complex boards |
| Augmented | Siemens Fuse, Cadence Cerebrus | AI copilot in existing tools | Enterprise design teams |
siliXon targets the most ambitious tier—generating designs without requiring the user to create a schematic first.
Technical Challenges Ahead
Despite the impressive demo potential, text-to-PCB faces real engineering challenges:
Design rule complexity: A simple text prompt doesn't capture the hundreds of constraints needed for a manufacturable board (impedance requirements, thermal considerations, EMC compliance, testability).
Safety validation: For anything beyond hobby electronics, generated designs need simulation verification (SI/PI analysis, thermal modeling) that current AI tools don't fully automate.
Manufacturing awareness: Without knowing the specific fabricator's capabilities (minimum trace width, layer count limits, material availability), AI may generate designs that are theoretically correct but practically unfabricatable.
Liability: When an AI-generated design fails in the field, the responsibility chain is unclear—this limits adoption in safety-critical markets.
Market Opportunity
The PCB design services market was valued at approximately $4.8 billion in 2025. siliXon's bet is that text-to-PCB can capture the long tail of simple designs that currently go to freelance designers.
If the technology works as promised, it could:
- Reduce simple PCB design costs from $500–$5,000 to near-zero for tool subscribers
- Compress prototype timelines from 2–4 weeks to hours
- Enable non-specialists (mechanical engineers, software developers) to create functional hardware prototypes
The Bigger Picture: EDA's AI Moment
EDA tool revenue for PCB design reached $4.2 billion in Q1 2026, marking 20 consecutive quarters of growth. The acceleration isn't from incremental improvements—it's driven by AI-native features that command premium pricing because they demonstrably reduce design time.
Whether text-to-PCB becomes as transformative as text-to-code remains to be seen. But the investment is flowing, the demos are improving, and hardware engineers should be paying attention.
Originally published at AtlasPCB Engineering Blog
For engineers looking to turn AI-generated or traditional designs into production-quality PCBs, check out AtlasPCB's manufacturing capabilities — free DFM review included with every order.
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