Crowdsourcing AI Models with 5,000 Members and 600 PhDs

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Enabling Distributed Collaboration

Our Platform facilitates distributed collaboration, enabling individuals and teams from around the world to contribute their unique skills and knowledge to solve our customers' problems.

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Community Driven

Over the last two years, Crunch Foundation has attracted the best talents in AI.

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Transparent and Ethical Framework

The Foundation emphasizes transparency and ethical considerations in its operations. It ensures that data handling and contributor interactions adhere to high standards of integrity and openness, fostering trust among all participants.

Unlocking a new kind of collaboration

The $CRUNCH enables a new AI market.

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Burn-and-Mint Equilibrium Model

The $CRUNCH, CF Platform's native cryptocurrency, follows a "burn and mint equilibrium model". AI Research Credits are sold for a fixed USD value, and corresponding tokens are burned from its 10.7M maximum supply.

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Shared Value

The Token value accrual model is based on max limited supply  of  $CRUNCH and a growing demand in AI model procurement from the financial market. The role of the foundation is then to capture this value in order to grow, support the ecosystem and distribute part of it back to the ecosystem.

Join our local Quant Clubs

1,000

Members in our local quant clubs

Each event features talks by industry professionals, open discussions, and networking sessions, facilitating knowledge sharing and creating opportunities for like-minded individuals to connect.

6

Local Quant Clubs

Paris, New York, Bangalore, London, Bandung & Abu Dhabi. 

Our guest speakers, hailing from top companies and academia, are sheding light on the latest advancements, cutting-edge tools, and futuristic trends in machine learning and quantitative studies.

Areas of Interest

Unlocking Value for the Foundation

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Causality

Integrating machine learning with causal inference equips researchers to unveil resilient, reproducible causal mechanisms. This synergy enhances decision-making in the ever-changing landscape of finance, providing a solid foundation for navigating complexities.

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Market Stability

Market regimes, crash detection, and regime drift are crucial in quantitative finance. Understanding shifts in market behavior is critical to market stability. Machine learning models play a vital role in optimal decision-making while facing non-linearities.

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Decentralize AI

The problem of decentralized AI involves balancing the need for transparency, especially in the context of blockchain technology, with the need for confidentiality to protect both institutional interests and Intellectual Property.

Frequently asked questions

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Do you offer a free trial?

Soon to be! The incorporation process of the Foundation has started.

Why a Foundation?

This approach ensures that the DAO attracts the most talented researchers, regardless of their physical location. The Foundation framework ensures a secure and transparent environment for managing the $CRUNCH Token and the DAO.

Do you offer team accounts?

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How does Darktech X work?

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How to enable user tracking?

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Is this tool GDPR compliant?

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Litepaper
Soon

Our Shared Journey