# Dark Research > Infinitely supercharged AI Dark Research provides AI tools that automatically integrate new capabilities and uplevel themselves over time. Dark Research develops DARK, a trusted execution environment (TEE) for AI that automatically integrates new tools, enabling continuous improvement and advancement of AI capabilities without manual intervention. DARK serves as an infrastructure layer that enhances AI systems through automated tool integration. - Type: Company - Sector: Infrastructure - Status: Announced - Founded: 2025-04-01 - Profile: https://thegrid.id/profiles/darkresearch_ai ## Products - [DARK](https://thegrid.id/profiles/darkresearch_ai): DARK implements a trusted execution environment (TEE) for for Model Context Protocol (MCP) servers that automatically integrates new tools into AI systems, enabling continuous capability expansion and performance improvement without manual intervention. (Developer Tooling, In Development, Main Product) ## Assets - [Dark Eclipse (DARK)](https://thegrid.id/profiles/darkresearch_ai): DARK is the utility token of Dark Research, an AI infrastructure platform operating on Solana. It is used to pay for computational resources, reward AI agents, and participate in governance decisions. The network utilizes Trusted Execution Environments and the Model Context Protocol to enable AI systems to automatically integrate new tools and capabilities, allowing the AI to continuously improve itself over time. (Memecoin) ## Links - [Main](https://www.darkresearch.ai) - [Twitter / X](https://x.com/darkresearchai) - [GitHub](https://github.com/darkresearch) ## 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