AI Innovation Takes Spotlight at Tech Summit

Peter Wang, founder and CEO of Sequents.ai, delivers a pitch presentation during the startup challenge at the Valley101 Annual Tech Summit on Oct. 5 in Sunnyvale, Calif. (Xiaobai Tong / Valley101)

SUNNYVALE, Calif. – On Oct. 5, 2025, more than 1,000 people joined the Valley101 Annual Tech Summit. Everything at the summit this year circles back to artificial intelligence.  

Besides panels exploring AI’s role in different fields, the organizer introduced a startup challenge for the first time.

“Many of our followers are entrepreneurs. Over the years, I’ve received a lot of feedback from people who said our podcast inspired them to start their own businesses,” said Hongjun Liu, founder and CEO of Valley 101. “This time, we decided to host a global startup challenge to see how many founders our show could bring together.”

Eighty-four teams around the world applied, and six made it to the final round to present at the summit. They pitched live for a Golden Award of $100,000 on the spot investment from Shanda Grab Ventures. Team Sequents.ai and Team Vybers.ai walked away with the Golden Award.

“I am impressed by how collaborative the Valley101 community is. I feel extremely fortunate to be a part of this community and be acknowledged for the work that we are doing,” Gavin Wang, founder and CEO of Vybers.ai said. “At Vybers, we aim to close the human-AI communication gap, make sure humans and AI can co-exist harmoniously in the coming AI era.”

Valley101 is a media platform based in the Bay Area to capture stories on technology innovation and business transformation, whose channel has over four million subscribers across the globe.

Author

  • Meisi Li

    Meisi (she/her) graduated from the University of Wisconsin–Madison with a bachelor's degree in journalism and information science. During her undergraduate studies, she worked as a research assistant at a computational communication research group, where she analyzed vaccine skepticism and misinformation on social media, contributing examples for supervised learning in model development. Through various internships, she also gained experience translating complex social science, medical, and environmental research into accessible content for the lay public. At Stanford, she looks forward to strengthening her storytelling skills using data and multimedia, while contributing her multicultural perspective to class discussions and supporting peers. In her free time, Meisi enjoys playing tennis and watching live music and sports—especially soccer and Formula 1.

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