ai-manufacturing
(5)
Prototyping.io
Prototyping.io is a San Francisco startup (YC Spring 2026) building an AI-native manufacturing platform that turns CAD designs into finished mechanical parts in as little as one day. It automates the traditionally manual path from design to production - DFM analysis, sourcing, process planning, machine programming and setups - so hardware teams can iterate in days instead of weeks. The company serves customers from early-stage startups to multi-billion-dollar enterprises across robotics, AI infrastructure, energy, automotive and defense.
Ease.io
Ease.io is an Irvine, California software company that makes EASE, a cloud-based audit and inspection platform for manufacturers. The platform digitizes and automates plant-floor workflows - layered process audits, safety inspections, 5S evaluations, Gemba walks and custom audits - along with scheduling, task assignment, data collection, corrective actions and reporting. What began as an on-premises work-instructions tool has become a native SaaS platform used by leading manufacturers such as Dana, Tenneco, Eaton, 3M, Bosch and Aston Martin across 50+ countries, helping quality and operations teams turn plant-floor data into real-time insight and closed-loop issue resolution.
Factorem
Factorem is an AI-driven on-demand manufacturing platform based in Singapore. Founded in 2020 by Alexandra Zhang and Hardik Dobariya, it lets engineering and hardware teams upload a CAD file, get an instant quote, and order custom parts - CNC machining, 3D printing, sheet metal fabrication, injection molding and surface treatment - from a vetted network of Southeast Asian factories, with no minimum order quantity. The platform uses AI to scan designs, match them to the best-suited manufacturer, and manage end-to-end fulfilment, compressing prototyping timelines from months to days.
Alexandra Zhang
Alexandra Zhang is the co-founder and CEO of Factorem, an AI-native, on-demand manufacturing platform born in Singapore that connects hardware and photonics teams with a vetted network of factories across Southeast Asia. After hitting sourcing walls as an engineer building EV transmissions in Toronto, she built the platform she wished she'd had: instant quotes, no minimum order quantities, and lead times cut from months to days. A Forbes 30 Under 30 honoree, she relocated from Singapore to Colorado to open the U.S. market, which now drives nearly half of company sales.
John Kibarian
John Kibarian is the co-founder, President, and CEO of PDF Solutions (NASDAQ: PDFS), a Santa Clara-based semiconductor analytics company he has helmed for over 35 years. Armed with a Ph.D. in Computer Engineering from Carnegie Mellon, Kibarian started building yield-improvement algorithms while still a researcher at SEMATECH - then turned those algorithms into a company. Today PDF Solutions generates $219 million in annual revenue helping chipmakers, test facilities, and battery manufacturers squeeze more quality out of every wafer, with flagship products like the Exensio Analytics Platform and the Sapience Manufacturing Hub driving AI-powered collaboration across global semiconductor supply chains.