Startup cuts complex hardware prototyping cycles using AI

This article is a part of Startup Spotlight, a series that features young, up-and-coming startups.

KnowYi founder Ella Meng. Photo credit: KnowYi

While building hardware, Ella Meng encountered undocumented engineering knowledge. Determining why specific components were chosen or which tolerances mattered often required starting from scratch. She founded KnowYi to capture these physical constraints mathematically and compound engineering experience.

😟 Problem

Moving hardware from prototype to production requires resolving thousands of unwritten engineering constraints. Companies face delayed timelines and scrapped physical builds when relying on fragmented spreadsheets. Without verifiable systems, some initial prototyping cycles waste up to 10 weeks translating designs.

💡 Solution

The startup applies reasoning machine learning to turn engineering ideas into workable production plans. The platform provides several core capabilities, including:

• Clarifying missing specifications and evaluating component risks before manufacturing begins.
• Coordinating manufacturing, testing, and delivery through a vetted production network.
• Connecting physical outcomes back to the reasoning model to improve future hardware builds.

Photo credit: KnowYi

📊 Market size

AI is steadily expanding into physical system design and operations. For enterprise hardware programs, recurring production orders present a substantial financial opportunity. A focused customer base can generate US$100 million in annual contract value without requiring millions of users.

🤝 Team

• Ella Meng. Founder and CEO. Has a mathematics background from the University of Waterloo, was named to the Forbes China 2026 Top 100 list, and contributes to US robotics safety standards.
• Rishabh Aggarwal. Advisor. He works as CTO at Raise Robotics and brings hands-on experience deploying hardware in demanding environments.
• Roberto Romero. Technical partner. He is a technologist at the University of Waterloo, specializing in electronics validation and testing.

🚀 Traction

• Secured 12 enterprise customers across aerospace, robotics, and medical devices.
• Achieved a 100% reorder rate among enterprise clients with completed initial deliveries.
• Built a network of over 200 vetted manufacturing partners for physical production.
• Reduced a critical prototyping cycle for Reel-In Robotics from 10 weeks to three weeks.

🏆 Competition

The industrial technology sector features software like PhysicsX for simulation and Instrumental for manufacturing intelligence. Digital procurement platforms like Xometry also operate in this broader hardware space.

KnowYi differentiates itself by focusing strictly on engineering judgment. The startup tracks why specific materials are chosen and connects those decisions directly to observed physical outcomes.

💰 Financials

Enterprise customers pay for engineering programs and the delivery of physical components. Pricing scales based on product requirements, engineering scope, and production volume. The company currently holds a US$2 million annual contract with FORT Robotics.

🚩 Risks