YUCE

YUCE positions itself as the first prediction market built for institutions on Canton Network. Its homepage frames prediction markets as infrastructure for decision-making, giving institutions a way to hedge risk, test strategies, and gain market signals without exposing their hand.

The project focuses on aggregating fragmented judgment into market-based probabilities while preserving privacy for participants who operate under uncertainty at scale.

YUCE is built for private, institution-oriented forecasting and decision support.

• Private prediction markets built around Canton Network
• Designed for institutions, funds, project teams, enterprises, and market makers
• Privacy-preserving market participation without exposing identity or strategy
• Conditional prediction engine for scenario-based decision-making
• Market-based probabilities that can support hedging, planning, and strategy testing

YUCE uses Canton as the privacy-preserving foundation for institutional prediction markets. Canton’s privacy model fits YUCE’s stated goal: allowing participants to trade views and discover probabilities without publicly revealing strategy, identity, or positioning.

YUCE focuses less on retail prediction-market entertainment and more on institutional foresight. The product describes prediction as infrastructure: markets aggregate beliefs, process them through privacy-preserving Canton workflows, and output probabilities for strategic decisions.

Three Pillars

YUCE highlights a privacy computing network, conditional prediction engine, and innovation acceleration layer.

Decision Workflow

Inputs include beliefs, expectations, and information. The process is privacy-preserving prediction markets on Canton. The output is actionable probabilities for institutional decisions.

Audience

The site targets institutions and funds, project teams, enterprises, and market makers.

The app is structured as a Canton-based prediction market with onboarding, wallet, history, rewards, rules, and settings sections. The public page emphasizes private market participation and institutional decision support.

YUCE adds a prediction-market use case to Canton’s application layer, showing how privacy can support forecasting, risk pricing, strategy testing, and institutional decision-making.

The natural roadmap is broader market coverage, deeper institutional workflows, richer conditional prediction tools, stronger liquidity, and more integrations with Canton wallets and private settlement infrastructure.