The startup offers an artificial intelligence-based data management platform that utilizes blockchain technology to provide secure and interoperable data storage. This platform enables developers to access user data through dynamic permissions, ensuring true ownership and cryptographic security of client data.
Funding
$330K 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
Traditional data management systems often require centralized coordination and constant connectivity, making them unsuitable for edge environments and distributed applications. This reliance on the cloud can lead to increased latency, bandwidth costs, and vulnerability to single points of failure.
Solution
Source Network provides a decentralized data management stack designed for edge-first applications, enabling developers to build applications that operate efficiently in offline, intermittently connected, and distributed environments. The Source stack includes DefraDB, a decentralized database, SourceHub, a trust and interoperability layer, and Orbis, a distributed secrets management system. Source Network allows for peer-to-peer synchronization, local authority, and verifiable data integrity, ensuring data privacy, security, and governance at the edge.
Target Audience
The primary target audience includes developers building local-first software, mobile applications, autonomous systems, industrial IoT solutions, and AI/ML applications at the edge.
Features
- DefraDB: A decentralized database that supports offline-first functionality and peer-to-peer synchronization.
- SourceHub: A trust layer that uses blockchain to enforce user-centric data storage and management.
- Orbis: A distributed secrets management system for secure storage and sharing of credentials.
- Edge-first architecture: Optimized for low-power, resource-constrained devices.
- Cryptographically verifiable data structures: Ensure data integrity and tamper-evident history.
- Fine-grained access controls: Enable secure, local-first enforcement of data policies across distributed environments.
- Support for vector embeddings and retrieval-augmented generation (RAG) pipelines for AI use cases.