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Metis: Fall 2025 Burton D. Morgan Finalist
Metis was a Top 10 Fall 2025 Burton D. Morgan finalist building sandboxed AI-training simulations to help organizations adopt AI tools while managing regulatory risk.
Historical finalist profile — Fall 2025. This page was published in 2026 from Purdue and founder-linked sources.
Metis was a Top 10 finalist and received a $3,000 Standout Concept prize.
Team: Ashish Chenna, Devansh Khandelwal, Rohin Gupta, and Tanay Gondil
What Metis pitched at Burton Morgan
Purdue's competition archive describes the Fall 2025 Metis concept as a platform to help organizations train their workforce to adopt AI tools without exposing the organization to regulatory risk, using sandboxed simulations.
Rohin Gupta's public profile independently describes the Burton Morgan pitch as an AI security solution using sandboxed simulations to capture human-AI interactions and detect risky behavior. Those sources align on the competition concept: organizational AI adoption, training, and risk detection inside a controlled environment.
Why the earlier project-repository match was misleading
The same four students also had a public repository named Metis that described an ideation/project-planning tool. Matching founders and a project name was not enough to prove that repository represented the concept pitched at Burton Morgan. Purdue's competition archive is the stronger historical source for what the team actually presented at the final.
This profile therefore treats the sandboxed AI-training concept as the competition record and does not use the separate repository as evidence of the Burton Morgan product.
Sources
- Purdue's Burton D. Morgan competition archive
- Rohin Gupta's public profile
- Fall 2025 finalists overview