ai-translation
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Matt Singer Keeps Choosing the Hard Categories
From HR software to city hall to multilingual AI, the San Diego marketer has made a career of turning complicated software into a reason to care.
Dave Deasy Has Spent a Career Making Complicated Technology Easier to Choose
From e-commerce and online privacy to cybersecurity and live AI translation, Dave Deasy has built a career around one stubborn marketing problem: making sophisticated technology useful, legible, and worth adopting.
Lina Tonk Is Teaching Marketing to Speak Revenue - and Every Language
The Colombian-born CMO built her career by translating between rooms that often misunderstand one another - marketing and sales, brand and revenue, headquarters and the customer. At Smartling, language itself has become the business.
Lakshman Rathnam Turned One Silent Conference Into a Billion-Minute Translation Business
At a conference in Japan, a veteran hardware engineer discovered what exclusion sounds like. His answer was Wordly - software designed to let every listener choose the language of the room.
Gunwoo Kim Is Teaching AI to Hear Between the Words
Before Cuckoo could translate a technical meeting in real time, its co-founder had to learn a subtler language: how engineers, customers and old friends decide what matters.
Fardad Zabetian
Fardad Zabetian is the founder and CEO of KUDO, a New York-based platform that puts live human interpretation and AI translation inside video meetings in more than 200 languages. An engineer by training, he spent two decades building the physical hardware of multilingual conferencing - including a role in the 2012 redesign of the United Nations General Assembly Hall - before turning that expertise into a cloud platform. He has founded five companies, invested in more than 20 startups, and built his career around a single idea: that language should not be the border between people.
Snow Huo
Snow Huo is the co-founder and CEO of Langfinity (formerly Byrdhouse), a San Francisco AI company building real-time voice and video translation across 100+ languages for global teams. A former remote Chinese interpreter and product leader at Groupon, Chowbus, and Disney, she moved to the US at 17 and was teased for not speaking English - an experience that became the founding seed for a tool that lets people understand each other instantly, no matter the language they speak.
Spence Green
Spence Green is the co-founder and CEO of LILT AI, a San Francisco-based enterprise AI translation platform that has raised $95.5M across three funding rounds. A Stanford PhD in computer science and University of Virginia computer engineering graduate, Green built LILT in 2015 alongside co-founder John DeNero after both worked on Google Translate. His research career spans Northrop Grumman defense systems, Johns Hopkins NLP research, and Google, where he developed English-to-Arabic translation models. LILT now serves government agencies including the U.S. Air Force and global enterprises, combining adaptive machine translation with human oversight. Green's guiding philosophy - 'the world belongs to the discontented' - reflects his conviction that universal multilingual information access remains an unsolved problem.