SurrealDB Secures $23M to Supercharge AI-Native Multimodel Database
business#agent📝 Blog|Analyzed: Feb 17, 2026 14:02•
Published: Feb 17, 2026 14:00
•1 min read
•SiliconANGLEAnalysis
SurrealDB's $23 million funding round is a significant step forward for AI-native databases! Their multimodel approach, supporting structured data, graph relationships, and machine learning workloads, is truly innovative. This expansion promises exciting advancements in how we manage and utilize data for AI applications.
Key Takeaways
- •SurrealDB's database is designed for applications combining structured data, graph relationships, and machine learning.
- •The platform uses a unified query language called SurrealQL for diverse data models like relational, document, and vector.
- •The new funding will accelerate product maturity, team expansion, and cloud offering scaling.
Reference / Citation
View Original"SurrealDB Inc. today revealed that it has raised an additional $23 million in funding for its multimodel artificial intelligence-native database."