Anna Patterson
Founder and CEO
Ceramic.ai
Ceramic provides enterprise-grade AI infrastructure designed to accelerate large-scale model training. Their platform utilizes novel architectural approaches and distributed training optimizations to deliver significantly faster training speeds while reducing compute requirements. This infrastructure enables organizations to build better models more efficiently, supporting very long-context training capabilities.
- Artificial Intelligence
- Blockchain & Cryptocurrency
- Developer Tools
- Software Only
- Web3 & NFTs
Updated yesterday
Funding
Raised to date
$12MRaised 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.
+1Funding rounds are not available yet.
Founders
Product
Problem
Many applications require decentralized data storage and management, but existing solutions often lack the flexibility, scalability, and real-time capabilities needed for dynamic data. Traditional databases are centralized, creating single points of failure and control, while blockchain-based solutions can be slow and expensive for frequently updated data.
Solution
Ceramic provides a decentralized data network for building verifiable, composable, and dynamic data applications. It enables developers to create and manage streams of data that can be updated in real-time, secured cryptographically, and shared across different applications. By leveraging a decentralized identifier (DID) based identity system and a content-addressable storage network, Ceramic ensures data integrity, ownership, and portability. This allows applications to build user-centric data models where users control their data and can seamlessly move it between different platforms.
Target Audience
Ceramic targets developers building decentralized applications (dApps), Web3 platforms, and other applications that require verifiable, composable, and dynamic data.
Features
- Decentralized data streams that can be updated in real-time
- Cryptographic security and data integrity using DIDs
- Content-addressable storage for verifiable data
- Interoperable data models that can be shared across applications
- User-centric data ownership and control
- Scalable architecture for handling large volumes of data