• Aftkhar Aslam is the Co-Founder and Chief Executive Officer of yieldWerx and a semiconductor industry veteran with more than 30 years of experience spanning manufacturing, test engineering, yield management, IP strategy, and enterprise digital transformation. • Under his leadership, yieldWerx has become a trusted data and yield analytics platform supporting semiconductor companies across fab, assembly, test, advanced packaging, photonics, and AI-driven device manufacturing. • The platform enables organizations to unify fragmented manufacturing data into scalable, actionable yield intelligence. • Prior to founding yieldWerx, Aftkhar held senior leadership roles at Texas Instruments, where he served as Worldwide Director of Test & Yield Management Solutions & Director of Digital Transformation in the space of Design and Delivery systems and solutions across HW and SW. • He also served as a Director within Accenture’s Industry X (IX) practice, where he advised leading global technology organizations including Intel, GlobalFoundries, Qualcomm, Lam Research, Microsoft, STMicroelectronics, and Skyworks. • His consulting work focused on bridging the Design-to-Manufacturing divide - architecting Digital Thread and Digital Twin strategies that connected product design, IP management, manufacturing execution, test, and enterprise systems into unified operational frameworks.

Article Summaries:

  • YieldWerx CEO Aftkhar Aslam discusses data‑unification platform

Aftkhar Aslam, Co‑Founder and CEO of yieldWerx, highlighted the company’s role as a semiconductor‑focused data and yield analytics platform. With over 30 years of industry experience-including senior roles at Texas Instruments and Accenture-Aslam explains that yieldWerx unifies fragmented manufacturing data from fabs, assembly, test, inspection, and advanced packaging into a single, scalable environment. The platform targets complex, niche products such as chiplets, co‑packaged optics, MicroLED, and silicon photonics, where traditional tools struggle. By connecting electrical, optical, and defect data across stages, yieldWerx aims to accelerate yield learning, reduce ambiguity, and enable faster engineering decisions.

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