Try Everything 2026 puts AI, robotics and cross-border capital at the centre
Startup conferences often sell scale: bigger halls, longer speaker lists, more badges scanned at the entrance. Seoul is taking a different route with Try Everything 2026. As the city’s flagship startup festival returns to Dongdaemun Design Plaza on September 9 and 10, organisers are leaning less on crowd size and more on a harder question: […] The post Try Everything 2026 puts AI, robotics and…
The upcoming startup conference Try Everything 2026 in Seoul is shifting its focus from sheer size to more meaningful connections. Rather than simply attracting a large crowd, the organizers are emphasizing the quality of interactions between founders, investors, corporates, and market-entry partners. Last year's event saw 7,729 participants, but the crucial metrics were 541 on-site meetings and KRW 180.9 billion ($130 million) in secured investments.
This year, already over 1,200 meetings have been arranged. The event, themed "AI Changes Everything, Now Try Everything," aims to be a "matching machine" rather than just a showcase. Startups can pre-select potential partners or attend walk-up sessions, and the format extends to corporate-to-corporate matchmaking, recognizing that valuable conversations often occur between accelerators, city agencies, venture arms, and platform companies.
With a keynote by Stanford economist Erik Brynjolfsson on turning AI deployment into productivity gains, and presentations from Anthropic, Genspark, and Korea's AI unicorns, the conference emphasizes practical AI applications. Hyundai's robotics lab will showcase innovations like MobED and X-ble Shoulder, demonstrating how AI can be integrated into real-world environments.
The conference's emphasis on physical AI, hands-on demonstrations, and matchmaking could help Southeast Asian startups find the right corporate partners, local distribution channels, and regulatory guidance needed to succeed in Korea and beyond.
Written by urgent.news from e27's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
