After growing up in the shadows of America’s nuclear weapons program, Alexandr Wang dropped out of MIT at 19 to cofound Scale AI. Now he is helping outfits like the Air Force, Army, GM and Flexport unlock their data’s potential.
grew up in the shadow of New Mexico’s Los Alamos National Lab, the top-secret site where the United States developed its first atomic bomb during World War II. His parents were physicists who worked on weapons projects for the military. Now he does too: Wang’s six-year-old San Francisco–based company, Scale AI, has already inked three contracts worth up to $110 million, contingent on the government’s needs, to help America’s Air Force and Army employ artificial intelligence.
Scale’s technology analyzes satellite images much faster than human analysts to determine how much damage Russian bombs are causing in Ukraine. It’s useful not just for the military. More than 300 companies, including General Motors and Flexport, use Scale, which Wang started when he was 19, to help them pan gold from rivers of raw information—millions of shipping documents, say, or raw footage from self-driving cars.
A $325 million funding round last year valued Scale, which generates an estimated $100 million in revenue, at $7.3 billion. Wang’s estimated 15% stake is worth $1 billion, making him the world’s youngest self-made billionaire. “I told my parents it was just going to be a thing I did for the summer. Obviously, I never went back to school.” As a kid, Wang was a math whiz who competed in national math and coding competitions. In 6th grade, he signed up for his first national math competition intent on securing a free ticket to Disney World. He didn’t win the competition, but he clinched his trip to the magic kingdom.
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