SurrealDB Raises $23M for AI-Native Database
SurrealDB, a startup building a multi-model database designed for AI, secured a $23M Series A extension, bringing its total funding to $44M. The company also launched version 3.0 of its database, which features tighter integration for "agentic AI." The platform is designed to natively support AI agents, complex data types, and flexible, multi-modal queries.
- The company was founded by brothers Tobie and Jaime Morgan Hitchcock, who previously spent years building complex systems with multiple databases and wanted to create a single, simplified backend solution. - New investors in this round include Chalfen Ventures and Begin Capital, joining existing backers FirstMark and Georgian. As part of the deal, Mike Chalfen, who has invested over $300 million in software startups, will join SurrealDB's board of directors. - The database is written in Rust and unifies relational, document, graph, time-series, vector, and key-value data types into one platform, queryable via its own language, SurrealQL. - Version 3.0 introduces major architectural changes for improved stability and performance, such as separating data values from data expressions and redesigning how documents are represented on disk. - A key feature in the 3.0 release is "Surrealism," a new plugin ecosystem that allows developers to write custom business logic and access controls as version-controlled modules that run directly inside the database. - The company is headquartered in London and has a hybrid work policy, requiring three days a week in the office. It is actively hiring for senior roles, including database engineers with experience in Rust, C, or Go. - This funding is notable in a climate where venture capital for data management companies has slowed considerably since the market peak in 2021 and early 2022.
