Key Highlights
Aidentyx joined NextRise 2026 Seoul for the first time, connecting with startups, investors, partners, and industry leaders across Korea’s innovation ecosystem to share our vision for practical Manufacturing AI.


Our team had a great time at NextRise 2026 Seoul, where startups, enterprises, investors, and innovation leaders came together to explore what is next for technology, business, and global collaboration.
It was Aidentyx’s first time participating in NextRise, and we were grateful for the opportunity to connect with many people across Korea’s startup, venture capital, and manufacturing ecosystem.
Throughout the event, we shared how Aidentyx is building Agentic AI solutions for manufacturing — helping industrial teams connect complex operational data, understand real production context, and move from insight to action.
At our booth, we introduced the PODO® AI Framework and discussed how AI agents can support smarter manufacturing operations by helping teams detect issues earlier, diagnose root causes faster, and act with greater confidence.
The conversations we had throughout NextRise reinforced a clear opportunity: manufacturers are looking for AI systems that go beyond dashboards and disconnected analytics. They need practical intelligence that can support real operational decisions across equipment, processes, people, and business impact.
Through 1:1 meetups with Korean VCs and conversations with partners, startups, and industry professionals, we were able to share Aidentyx’s direction as a US startup building vertical AI solutions for manufacturing — in Korea and beyond.
At Aidentyx, we believe the future of Manufacturing AI will be built on connected data, industrial context, and AI agents that can help teams turn complex signals into trusted action.
What’s Next
Thank you to everyone who visited our booth, met with our team, and showed interest in Aidentyx at NextRise 2026 Seoul.
We look forward to continuing the conversations with manufacturers, partners, investors, and innovation leaders who are working to bring more practical, trusted, and operationally impactful AI into industrial environments.
