Prospect Prediction to work with ASAPI.AI

Executive Summary

• Prospect Prediction Markets Inc. has entered into a collaboration with ASAPI.AI to explore the development of machine-learning-driven prediction models for its prediction market platform.
• The initiative is a limited-scope design and evaluation effort focused on assessing the applicability of AI-powered models to event-driven markets, with potential for future commercial deployment if the proof-of-concept is successful.
• The collaboration does not involve the issuance of securities and is strictly exploratory, with no assurance of a resulting commercial agreement.

Key Details

• Parties Involved: Prospect Prediction Markets Inc. (sports-focused prediction market platform) and ASAPI.AI (AI research and technology company).
• Objective: To explore the development of machine-learning-based models designed to predict event outcomes relevant to prediction markets, supporting market calibration, evaluating informational signals, and enhancing understanding of probability evolution.
• Scope: Limited-scope design and evaluation initiative; intended to support proof-of-concept development.
• Future Potential: If proof-of-concept models demonstrate promise, parties may consider advancing toward production-scale deployment under a future commercial agreement.
• Financial/Securities Impact: The collaboration does not involve the issuance of any securities.
• Key Personnel:
  • ASAPI.AI: Founded by Dr. Qingchen Wang (Kaggle Grandmaster, AI researcher); Founding adviser Dr. Stefano Ermon (Professor of Computer Science at Stanford University).
  • Prospect Markets: Trevor Broad, Co-founder and Chief Technology Officer.

Notable Quotes

• "Prediction markets offer a natural environment for applying probabilistic modelling and machine learning techniques," said Dr. Wang, founder of ASAPI.AI. "We are interested in exploring how modern AI methods can contribute to more robust prediction and evaluation frameworks, and we look forward to collaborating with Prospect Markets as part of this exploratory initiative."
• "As we continue to build out the technical foundation for Prospect Markets, we are exploring how advanced machine learning can complement our platform development," said Trevor Broad, co-founder and chief technology officer of Prospect Markets. "This collaboration allows us to evaluate AI-driven prediction models in a disciplined, limited-scope manner while remaining focused on long-term platform scalability."