ProsilAI
ProsilAI provides an AI agent that automates analog chip layout, the last manual step in semiconductor design. The agent autonomously handles placement, routing, and physics constraints to generate multiple production-ready layout candidates, with every output validated and scored against industry-standard physical design metrics. The platform targets custom silicon for automotive, neural/BCI implants, aerospace and defense, and AI infrastructure applications.
- Semiconductor
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Analog layout is the only step in chip design that has never been automated, creating a persistent bottleneck in every tape-out across every industry. While digital layout was automated decades ago because it follows rules, analog circuits are custom, with continuous parameters and unique physical constraints, forcing engineers to do this work manually.
Solution
ProsilAI removes the analog layout bottleneck with an AI agent that reasons through the three decisions that define every analog layout: placement, routing, and physics constraints. The agent autonomously generates multiple production-ready layout candidates, with physics defining validity while designers remain in control. Every output is validated and scored against industry-standard physical design metrics, ensuring measurable quality at every step. The platform targets the AI compute boom's unprecedented demand for custom silicon, where every chip has analog components.
Target Audience
Senior IC design and layout engineers at leading semiconductor companies, including those at Apple, Qualcomm, OnSemi, and Microsoft, working on custom chips for automotive, AI infrastructure, aerospace, and defense applications.
Features
- AI agent that autonomously decides placement, routing, and physics constraints for analog circuits
- Generates multiple production-ready layout candidates for engineer review
- Physics-enforced validation ensures designs meet real physical constraints
- Quality scoring against industry-standard physical design metrics at every step
- Targets multiple sectors including automotive (ADAS, EV power, radar), neural/BCI implants, aerospace and defense, and AI infrastructure