Problem Statement

AI development relies on vast, high-quality datasets, but:

• Centralized Control: Big tech companies hoard data, limiting access for smaller players and exploiting users without compensation.

• Privacy Risks: Centralized storage increases data breach risks, eroding trust.

• Data Scarcity: Niche or specialized datasets (e.g., rare diseases, autonomous driving) are scarce, hindering innovation.

• Lack of Incentives: Contributors receive no rewards for their data, discouraging participation.

• Opaque Governance: Users have no say in how their data is used or prioritized.

DataCrowd addresses these challenges by decentralizing data collection, using AI to ensure quality and generate intelligence, and rewarding users via an attention-driven token economy.