Early winners in the AI gold rush are selling the picks and shovels needed to develop and apply artificial intelligence. Take data labeling startup Scale AI and its long and diverse list of customers and investors.
Founded in 2016, the San Francisco-based startup developed software that labels image, text, audio, and video data that companies use to train machine learning models. Scale AI started by providing companies like Nuro and Zoox with the labeled data they needed to train machine learning models for self-driving cars. The company quickly expanded to government, e-commerce, enterprise automation, and robotics companies. Scale AI's current customer list includes GM, OpenAI, Microsoft, and the US Department of Defense.
It's also attracting investors: The company recently raised $1 billion in a Series F round at a $13.8 billion valuation from institutional and corporate investors, including early backers Accel, Amazon, and Meta.
Bottom line: Scale AI and its CEO and co-founder Alexandr Wang are at the center of the AI boom. Wang, who started Scale AI as a 19-year-old MIT student, is excited to announce that he will be attending Disrupt 2024 in San Francisco from October 28-30.
In our conversation with Wang, we go beyond the hype and dig deep into the business of AI, the direction of the industry, and how Scale will evolve in the future. And much more!
Don't miss out on Disrupt 2024, where hundreds of investors, founders, tech pioneers, builders and policymakers will come together to learn and network. Buy your tickets now.