The startup develops a decentralized data network platform that enables efficient extraction and transformation of blockchain data across multiple chains. By utilizing a modular architecture and open-source tools, it provides users with flexible infrastructure for building scalable decentralized applications.
Funding
$3.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Accessing and transforming blockchain data across multiple chains is often inefficient and complex, hindering the development of scalable decentralized applications (dApps). Existing data infrastructures struggle to meet the real-time, high-throughput demands of modern AI agents and decentralized systems.
Solution
Subsquid provides a decentralized data network and indexing toolkit designed for efficient extraction and transformation of blockchain data. The platform offers a modular architecture, enabling developers to build custom data pipelines tailored to their specific needs. By leveraging open-source tools and a decentralized network, Subsquid facilitates the creation of scalable dApps and AI agents with self-sovereign data access. The SQD token incentivizes network participation, ensuring sustainable rewards for node operators and delegators while capturing protocol revenue.
Target Audience
The primary target audience includes Web3 developers, AI engineers, and enterprises building decentralized applications that require efficient and scalable access to blockchain data.
Features
- Squid SDK: A powerful indexing toolkit for Web3 developers, supporting EVM, Solana, Polkadot, and other chains.
- SQD Network: A decentralized network of delegators, node operators, and gateways for data extraction and transformation.
- SQD Cloud: An enterprise-grade hosted indexing service for simplified deployment and management.
- Modular architecture: Allows developers to customize data pipelines and adapt to evolving requirements.
- Open-source tools: Provides transparency and community-driven development.
- Deflationary tokenomics: A portion of protocol revenues are used to reduce the SQD supply over time.
- Support for AI agents: Enables permissionless access to petabytes of data for AI applications.