SurrealDB is expanding its AI-native database platform to support scalable, real-time applications and improve AI agent memory and context management, with new funding aimed at accelerating product development and enterprise adoption.
London-based SurrealDB, the company behind a multi-model, AI-native database, has raised an additional $23 million in Series A funding, bringing the round’s total to $38 million. Chalfen Ventures and Begin Capital joined existing investors FirstMark and Georgian in the extension, while Mike Chalfen of Chalfen Ventures will join the company as a director. The latest investment brings SurrealDB’s total funding to date, including seed financing, to $44 million.
SurrealDB is a cloud-native, multi-model database designed for real-time and AI-native applications. The platform combines structured querying, graph traversal, embedded business logic, and AI-focused capabilities to simplify data infrastructure while supporting scalability and developer flexibility.
The funding extension coincides with the general availability release of SurrealDB 3.0, which the company describes as its most stable, high-performance, and enterprise-ready version to date.
Built in Rust, SurrealDB 3.0 is designed to unify multiple data models within a single platform, including relational, document, graph, time-series, vector, search, geospatial, and key-value data types. The system also provides real-time functionality intended to reduce the complexity and cost of operating multiple databases and integrating them through additional API layers.
The release focuses on addressing challenges related to AI agent memory and context management, enabling models to maintain consistent information and manage relationships as data scales. SurrealDB 3.0 introduces features designed to support agent memory and context graphs directly within the database, helping data and logic remain closely integrated.
The new funding will support continued product development and adoption, with a focus on reliability, performance, security, cloud capabilities, and enterprise readiness. SurrealDB also plans to expand its team to scale its cloud offering and strengthen support for production deployments.