OPEN-X — Open Innovation — Build Beyond the Brief
Define your own real-world problem and build a GenAI, Agentic AI or intelligent automation solution.
Problem Context
Not every problem fits a predefined category. OPEN-X invites teams to identify a genuine real-world challenge and demonstrate that an agentic or AI-powered system can meaningfully address it.
Challenge Requirement
Teams may define their own real-world problem using GenAI, Agentic AI or intelligent automation. The solution must demonstrate a meaningful AI or agent component — not merely a UI wrapper around a foundation model.
Mandatory Capabilities (7)
Illustrative Scenario
Examples could include: an autonomous research agent that synthesises academic literature, an AI system that monitors supply-chain anomalies in real time, or an agent that assists humanitarian organisations in coordinating resources. The scope is yours — the bar is agency, reasoning and real-world impact.
RECOMMENDED EXECUTION TRACE
BUILD REQUIREMENT
A complete, end-to-end working system demonstrating genuine agentic reasoning and real-world applicability. Judges will evaluate using the same seven criteria as curated challenges.