# Bittensor > Incentivizing intelligence Bittensor creates decentralized AI markets where machine intelligence is valued by peer networks through stake-based consensus. Bittensor operates decentralized AI commodity markets through specialized subnets where miners produce machine intelligence and validators evaluate quality using Yuma Consensus. The protocol rewards contributors with TAO tokens based on their computational value to the network. Bittensor enables permissionless AI development while maintaining democratic control over artificial intelligence resources. - Type: Network - Sector: Blockchain Platforms - Status: Active - Founded: 2021-06-01 - Profile: https://thegrid.id/profiles/bittensor ## Products - [Bittensor Network](https://thegrid.id/profiles/bittensor): Substrate-based blockchain implementing Yuma Consensus for AI incentive mechanisms, enabling decentralized subnet coordination and TAO token emissions through stake-weighted validation of machine intelligence outputs. (L1, Live, Main Product) - [Bittensor Wallet](https://thegrid.id/profiles/bittensor): Browser extension wallet implementing SS58 address format for TAO transfers, staking operations, and subnet participation with security-first design. (Wallet, Live) ## Assets - [Bittensor (TAO)](https://thegrid.id/profiles/bittensor): TAO is the native token of the Bittensor network. It is used for staking, paying network fees, and governing the protocol, as well as for subnet deployment and accessing machine learning services. The network operates decentralized AI markets where miners produce machine intelligence and validators evaluate quality through Yuma Consensus, with the total supply capped at 21 million tokens. (Native) ## Links - [Main](https://bittensor.com) - [Documentation](https://docs.bittensor.com) - [Whitepaper](https://bittensor.com/whitepaper) - [Blog](https://blog.bittensor.com) - [GitHub](https://github.com/opentensor) - [Twitter / X](https://x.com/opentensor) - [Discord](https://discord.gg/bittensor) - [LinkedIn](https://linkedin.com/company/bittensor) - [Telegram](https://t.me/taobittensor) ## Relationships - [Opentensor Foundation](https://thegrid.id/profiles/opentensor_foundation): Parent organization - [SimplyTao](https://thegrid.id/profiles/simplytao_ai): Subsidiary ## 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