On October 28, 2025, we had the opportunity to participate in the "Best Startup Project: Mongolia Semifinal" competition at the National Information Technology Park in Ulaanbaatar. Our Oyu Data AI project was selected as one of 15 startups competing to represent Mongolia in the regional finals.
About the Competition The Digital Startup Awards 2025, organized by Uzbekistan IT Park (StartupBase), brings together startup founders from eight Central Asian countries to promote innovation and technology collaboration across the region. The Mongolia semifinal served as a platform for local startups to showcase their solutions and compete for the opportunity to advance to the finals in Uzbekistan. The event was co-organized by: National Information Technology Park KITE Mongolia The Judging Panel We were fortunate to present before an experienced panel of judges who brought diverse perspectives from investment, government, and entrepreneurship: Madina Zokirova - Program Manager, Uzbekistan IT Park M. Shurentsetseg - Head of Investment and Project Department, National Information Technology Park J. Bat-Ireedui - Board Chairman & CEO, Gund Investment LLC A. Yadamsuren - Head of Developing Startup and Ecosystem Department, Ministry of Digital Development, Innovation and Communications Z. Uyanga - Founder & CEO, Happiness Sync Their questions and feedback provided valuable insights that will help us refine our approach and better serve our target market. Oyu Data AI: Our Submission Oyu Data AI is our solution for helping businesses make sense of their data through artificial intelligence. In an era where organizations collect vast amounts of information but struggle to extract actionable insights, Oyu Data AI bridges that gap. The platform focuses on: Data Integration and Processing Bringing together data from multiple sources and preparing it for analysis, eliminating the manual work that typically consumes significant time and resources. Intelligent Analysis Using AI algorithms to identify patterns, trends, and anomalies that might not be apparent through traditional analysis methods. Actionable Insights Translating complex data findings into clear, understandable recommendations that business leaders can act upon. Accessibility Making advanced data analytics available to organizations that may not have dedicated data science teams, democratizing access to AI-powered insights.
