UnitX builds AI-powered visual inspection systems for manufacturers who can't afford to ship defective products. Their flagship platform - combining OptiX (software-defined imaging), CorteX (AI edge computing), GenX (synthetic defect generation), and FleX (the full integrated system) - cuts defect escape rates by 9x and deploys in about a week. With 820+ systems running across 170+ factories globally, UnitX has inspected over $6.1 billion worth of goods and counts five of the world's top ten automotive tier-1 suppliers among its customers.
Keven Wang is the Co-Founder and CEO of UnitX, a Santa Clara-based AI robotics company transforming industrial quality control through machine vision. A Stanford computer science alumnus with roots in SalesforceIQ engineering, Wang founded UnitX in 2018 alongside Adam Yang and Weixiong Zheng. The company has since deployed 820+ AI inspection systems across 135+ factories worldwide - inspecting $6.1B worth of products annually - and raised $92M in total funding. UnitX's flagship platforms (FleX, GenX, OptiX) help automotive, EV battery, and electronics manufacturers cut defect escapes by 9x and reduce scrap rates by up to 50%, with a philosophy Wang distills as: 'automate everything and maximize human intellect.'
Ari Morcos is the Co-Founder and CEO of DatologyAI, a Redwood City-based startup that automates the curation of training data for AI models. A Harvard-trained neuroscientist who spent two years at DeepMind and five at Meta AI Research (FAIR), Morcos pivoted from studying how biological brains learn to solving how artificial ones should eat - coining the phrase 'models are what they eat.' His company has raised $57.65M across seed and Series A rounds backed by Felicis Ventures, Radical Ventures, and angel investors including Geoffrey Hinton, Yann LeCun, and Jeff Dean. With an h-index of 35 and over 12,000 citations, Morcos bridges rigorous ML research and venture-scale ambition, targeting the data layer as AI's most underinvested frontier.
Kevin McNamara is the Founder and CEO of Parallel Domain, a San Francisco-based synthetic data and simulation platform that has raised $43.9M to power the next generation of AI perception systems. With a rare career arc spanning Pixar's animation pipeline, Microsoft's Xbox game studios, and Apple's secretive autonomous systems group, McNamara distilled a career of building virtual worlds into a platform that lets autonomous vehicle, drone, and robotics companies train their AI on infinite synthetic scenarios - accelerating ML development cycles by over 180x compared to real-world data collection.
Josh Tobin is a machine learning infrastructure pioneer who spent three years as a research scientist at OpenAI - contributing to the famous Rubik's cube robot hand - before earning his PhD from UC Berkeley under Pieter Abbeel. He co-founded Gantry, an ML monitoring and continual learning startup that raised $28.3M, and created Full Stack Deep Learning, the first course focused on production ML engineering. His domain randomization technique, which transfers neural networks trained in simulation to the real world, has been cited over 600 times and reshaped how robotics teams build perception systems. He runs a newsletter focused on ML infrastructure and ops.