Future Tech Webinar Series: Accelerating Hardware Design with Kipo AI

As electronic systems grow more complex, the bottleneck is no longer just design. It involves finding the right parts, managing obsolescence, and maintaining accurate component libraries. In this Future-Tech webinar, we explore how Kipo AI is transforming the scale-up from design to manufacturing by providing high-quality parts data.

Kipo AI is an intelligent part search and library creation platform built for modern hardware teams. Design engineers can instantly identify components that meet precise electrical and mechanical specifications, especially for analog design. Supply chain teams gain powerful tools to identify cross-references for obsolete, hard-to-find, or cost-sensitive components, reducing risk and improving resilience, and automating the repetitive task of sending RFQs and reviewing bids. Meanwhile, library teams can automatically generate high-quality symbols and footprints, eliminating tedious manual work and ensuring consistency across designs.

This session will demonstrate how AI-driven workflows can compress design cycles, improve part selection decisions, and streamline library management—all while reducing errors and rework.

Who Should Attend:

• Hardware Design Engineers
• Component Engineers and CAD Librarians
• Supply Chain & Sourcing Professionals
• Engineering Managers and Product Developers

Speaker Bio

Arjun Tambe is the CEO and Founder of Kipo AI. Previously, he was a robotics engineer at Ripcord Robotics, and a researcher at the Stanford Intelligent Systems Lab and Microsoft Research. He is the sole author of a new chapter in the forthcoming 8th edition of the industry-hallmark Printed Circuits Handbook (ed. Clyde Coombs & Happy Holden) covering the use of Artificial Intelligence in the design of printed circuit boards and supply chain management for electronic components.