# dFusion AI > Source and synthesize data into valuable AI assets dFusion AI helps you convert private data into valuable AI assets by providing decentralized validation and monetization tools. dFusion AI helps data contributors monetize information through decentralized validation systems. Users can contribute knowledge to build AI datasets, earn rewards for quality submissions, and participate in data liquidity pools. dFusion AI democratizes access to AI training data while ensuring contributors maintain ownership and receive compensation. - Type: Project - Sector: Data & Analytics - Status: Active - Founded: 2024-04-01 - Profile: https://thegrid.id/profiles/dfusion_ai ## Products - [Genesis Knowledge](https://thegrid.id/profiles/dfusion_ai): Genesis Knowledge Ingestion implements community-driven data validation through AI-powered nodes, enabling contributors to submit knowledge pieces for protocol rewards. The system processes submissions with AI filtering and human validation to build verified datasets. (Off-Chain Data APIs and Services, Live, Main Product) - [Social Truth DLP](https://thegrid.id/profiles/dfusion_ai): Social Truth DLP implements decentralized chat data monetization through VANA network integration, enabling users to contribute Telegram conversations for VFSN token rewards. The system maintains privacy through anonymization while building conversational AI datasets. (Customer Engagement Platform, Live) - [Data Oracle](https://thegrid.id/profiles/dfusion_ai): Data Oracle Filters implements customizable domain-specific filtering through EigenLayer security, enabling on-chain validation and retrieval-augmented generation pipelines. The system provides modular intelligence filtering for blockchain applications. (Oracle, In Development) - [Vericore](https://thegrid.id/profiles/dfusion_ai): Vericore implements AI fact-checking through decentralized consensus mechanisms, enabling semantic intelligence verification for content validation. The system builds truth verification based on meaning rather than popularity metrics. (Oracle, In Development) - [Subnet Slots](https://thegrid.id/profiles/dfusion_ai): Subnet Slots is a decentralized data rubric management through NFT-based ownership, enabling users to configure domain-specific filters and earn protocol rewards. The system provides subnet validation infrastructure with DFSN token staking requirements. (Developer Tooling, Early access) ## Assets - [VFSN (VFSN)](https://thegrid.id/profiles/dfusion_ai): VFSN is the utility token of Social Truth DLP, a data liquidity pool on the VANA network. It is used to reward users who contribute Telegram chat data, participate in governance, and earn a share of revenue from data licensing. VFSN holders receive protocol fees generated when third parties access the anonymized conversational datasets that contributors have built up over time. (Utility) - [DFSN (DFSN)](https://thegrid.id/profiles/dfusion_ai): DFSN is the governance token of the dFusion AI protocol. It is used to stake for subnet slot ownership, pay for data query fees, and participate in protocol governance decisions. Holders can stake tokens to boost visibility and influence within domain-specific data rubrics, earning protocol rewards and access fees as subnet operators contribute validated knowledge to the decentralized AI knowledge graph. (Utility) ## Links - [Main](https://www.dfusion.ai) - [Documentation](https://www.dfusion.ai/how-it-works) - [GitHub](https://github.com/dfusionai) - [Telegram](https://t.me/dFusionAI) - [LinkedIn](https://www.linkedin.com/company/dfusion-ai-labs) - [Twitter / X](https://x.com/dFusionAI) ## Legal This data is provided under two licensing models. Model 1 - open data. The open data core is licensed under the Open Database License (ODbL) — a copyleft/share-alike license allowing free use, modification, and sharing for any purpose. Attribution is required: include "Powered by The Grid" linking to https://thegrid.id wherever the data is used. Derivative databases must be shared under ODbL terms. Trademarks, logos, and brand names (marked "Special TPIP") are not covered by the ODbL. For ML/AI use: training datasets that substantially extract ODbL data are Derivative Databases and must be shared under ODbL if publicly used; models must be attributed in documentation. Model 2 - commercial licenses. The Grid Data Service (TGDS) is also available as a commercial license. See [Web Services Terms](https://about.thegrid.id/legal/web-services-terms) for commercial use that is not covered by the open data service. The following applies to both licensing models. - All data is provided AS IS with no guarantees of accuracy. - The Grid does not provide investment, legal, or tax advice, and - a project's presence in The Grid's data does not imply endorsement. - [Data Licensing & Disclaimers](https://about.thegrid.id/legal/data-licensing-and-disclaimers): Licensing models and disclaimers - [Open Data (ODbL)](https://about.thegrid.id/legal/open-data): Open Database License terms and scope for The Grid's open data service. - [Attribution Guidelines](https://about.thegrid.id/legal/open-data-attribution-guidelines): How to attribute The Grid's data when using the open data service. - [Web Services Terms](https://about.thegrid.id/legal/web-services-terms): commercial Terms for using data services. - [All Legal Documents](https://about.thegrid.id/legal): Full index of terms, policies, and disclosures ## Optional - [TGS Field Descriptions](https://github.com/The-Grid-Data/workspace-public/blob/main/references/tgs-field-descriptions.md): Schema field definitions for The Grid's data model - [TGS JSON Structure](https://github.com/The-Grid-Data/workspace-public/blob/main/references/tgs-json-structure.md): Data model structure and relationships - [Product Type Definitions](https://github.com/The-Grid-Data/workspace-public/blob/main/references/product-type-definitions.md): Definitions for each product type - [Product Type Classification](https://github.com/The-Grid-Data/workspace-public/blob/main/references/product-type-classification.md): Guide for classifying products into types - [Grid MCP Guide](https://github.com/The-Grid-Data/workspace-public/blob/main/grid-search/skills/grid-query/references/grid-mcp-guide.md): How to query The Grid programmatically via MCP