Prospect Markets Announces AI Collaboration with ASAPI.AI to Explore Prediction Market Modeling

Calgary, Alberta--(Newsfile Corp. - March 5, 2026) - Prospect Prediction Markets Inc. (TSXV: MKT) (OTCID: MKTSF) (FSE: DEP) ("Prospect Markets" or "Prospect" or the "Company") is pleased to announce a collaboration with ASAPI.AI, an artificial intelligence research and technology company, to explore the development of machine-learning-driven prediction models in support of the Company's evolving prediction markets strategy.

The collaboration is structured as a limited-scope design and evaluation initiative, under which the parties will assess the potential application of AI-powered prediction models to event-driven markets. The initiative is intended to support proof-of-concept development and, if successful, inform the potential deployment of such models within Prospect's prediction market platform, Prospect Markets.

About ASAPI.AI

ASAPI.AI is an artificial intelligence company focused on building cloud-based systems that autonomously train and host machine learning models for prediction and decision-making under uncertainty. The company's platform is designed to support scalable experimentation and evaluation of probabilistic models across real-world use cases.

ASAPI.AI was founded by Dr. Qingchen Wang. Dr. Stefano Ermon is a founding advisor. Both are recognized researchers in artificial intelligence and machine learning.

Dr. Wang is an AI researcher with experience spanning probabilistic inference, large-scale modeling, and applied machine learning systems. Dr. Wang is a Kaggle Grandmaster. Dr. Ermon is a Professor of Computer Science at Stanford University, where his research focuses on probabilistic modeling, deep learning, and AI systems for decision-making under uncertainty.

Prediction Models and Strategic Rationale

Prediction models are computational systems that analyze historical and real-time data to estimate the likelihood of future outcomes. In prediction markets, such models can be used to support market calibration, evaluate informational signals, and enhance the understanding of how probabilities evolve as new information enters the market.

Under the collaboration, Prospect Markets and ASAPI.AI will explore the development of machine-learning-based models designed to predict event outcomes relevant to prediction markets. The initiative will involve iterative evaluation of model outputs and an assessment of their potential applicability within a live market environment. If the proof-of-concept models demonstrate promise, the parties may consider advancing toward production-scale deployment under a future commercial agreement.