# CrunchDAO

> Make your Machine Learning models work for you

CrunchDAO connects machine learning experts with organizations through a collective intelligence protocol that turns models into recurring revenue.

CrunchDAO operates a platform enabling machine learning engineers to submit predictive models through competitions called Crunches. The system matches models to real-world applications, distributes computational tasks across the network, and rewards participants based on model performance. CrunchDAO serves sectors including finance, healthcare research, and data analytics.

- Type: Protocol
- Sector: Data & Analytics
- Status: Active
- Founded: 2021-01-01
- Profile: https://thegrid.id/profiles/crunchdao

## Products

- [Crunch Hub](https://thegrid.id/profiles/crunchdao): Crunch Hub provides a competition platform interface enabling organizations to launch machine learning challenges and connect with data scientists globally through structured Crunches with defined rules, datasets, metrics, and prize pools. (Developer Tooling, Live, Main Product)
- [π (Pi)](https://thegrid.id/profiles/crunchdao): π implements data analysis through Solana blockchain integration, enabling users to query world data and discover financial insights. The system generates unique time series data and insights while providing on-chain rewards for valuable discoveries. (Data Terminal, Live)
- [Coordinator Nodes](https://thegrid.id/profiles/crunchdao): Coordinator Nodes enable organizations to configure and manage machine learning competitions through CrunchDAO's protocol infrastructure while maintaining data control and defining custom competition parameters, evaluation criteria, and reward structures. (Node Hosting, Live)
- [Crunch Protocol](https://thegrid.id/profiles/crunchdao): Crunch Protocol is a decentralized coordination layer built on Solana that distributes machine learning workloads across a global network of data scientists. The protocol enables Coordinators to create prediction challenges with defined rules and rewards while data scientists compete to build predictive models. On-chain smart contracts handle verifiable scoring and automated reward distribution in USDC, with model and data privacy protected through Trusted Execution Environments. (Compute Network, Open Beta)

## Assets

- [CRUNCH Token (CRNCH)](https://thegrid.id/profiles/crunchdao): CRNCH is the governance token of CrunchDAO. It is used to vote on protocol upgrades, research directions, and community grant allocations, and is earned by participants based on the performance of their machine learning model submissions. The platform connects machine learning engineers and data scientists who collaborate through Crunch Lab to design, test, and deploy predictive models for real-world applications. (Governance)

## Links

- [Main](https://www.crunchdao.com)
- [Blog](https://hub.crunchdao.com/news)
- [Privacy policy](https://hub.crunchdao.com/legal/privacy)
- [Terms of Service](https://hub.crunchdao.com/legal/terms)
- [Documentation](https://docs.crunchdao.com)
- [Forum](https://forum.crunchdao.com)
- [YouTube](https://www.youtube.com/channel/UCJojcucwteZRnxyLyu-7TZw)
- [LinkedIn](https://www.linkedin.com/company/crunchlabhq)
- [Discord](https://discord.com/invite/veAtzsYn3M)
- [Twitter / X](https://x.com/crunchdao)

## 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