SurrealDB develops an AI-native, cloud-native database that merges relational, document, graph, time-series, vector, search, geospatial and key-value models within a single Rust-based engine. The newly released SurrealDB 3.0 is billed as the platform’s most stable, high-performance and enterprise-ready version, delivering real-time functionality that reduces the need for multiple specialty databases and external API layers. A key enhancement targets AI agent memory and context management by embedding memory and context graphs directly in the database. The system also offers structured querying, graph traversal and embedded business logic, giving developers flexibility while maintaining scalability. Fresh capital will be directed toward boosting reliability, performance, security, cloud capabilities and overall enterprise readiness, while the team expands to support large-scale cloud deployments. To date, the company has raised $44 million across seed and Series A funding.

Total raised

$49M

Funding rounds

3

Latest round

Series A

Latest activity

Feb 2026