SurrealDB Inc. today revealed that it has raised an additional $23 million in funding for its multimodel artificial intelligence-native database.

The plan is to accelerate product maturity and adoption and expand its team to scale up its cloud offering and deepen support for production deployments. Founded in 2021, SurrealDB offers a multimodel database product that supports applications that combine structured data, graph relationships and machine learning workloads within a single system.

The company’s platform addresses the challenge of maintaining consistent state, contextual relationships and persistent memory for AI agents as data volume and complexity increase. It works by consolidating models inside one engine so that application logic and contextual data can be stored and queried together, rather than relying on separate relational, document and vector databases connected through external services.

Under the hood, the database is written in Rust and supports relational, document, graph, time-series, vector, geospatial and key-value data models through a custom unified query language called SurrealQL. The custom query language allows for structured records, embeddings and multimodal data such as images and audio to be stored and queried within the same environment.

The platform also includes an embedded logic layer that allows developers to define computed fields, record references and custom API endpoints directly within the database. SurrealDB is designed for cloud-native and distributed deployments, with support for real-time queries, graph traversal and embedded logic suitable for AI applications, transactional systems and data-driven services.

The company claims that its database has become the fastest-growing database of all time, having been downloaded 2.3 million times, having attracted 31,000 GitHub stars and having more than 1,000 forks.

Notable SurrealDB customers include Verizon Communications Inc., Walmart Inc., ING Groep NV, Nvidia Corp., Samsung Electronics Co. Ltd., Tencent Holdings Ltd. and Poly AI Ltd.

The new funding, an extension of the company’s previous Series A round, saw Chalfen Ventures and Begin Capital join existing investors FirstMark Capital and Georgian Partners to bring the full Series A round to $38 million.

“Every compute era requires a new database paradigm,” said Chalfen Ventures founder Mike Chalfen. “We are in the AI era, but most ambitious enterprise AI projects stall. They need a data platform that makes unprecedentedly large-scale contextual information available to agentic systems in a way that is synchronized across data sources, fast and secure.”

SurrealDB, he said, is that platform. “It meets the needs of both AI agents and enterprise data governance,” he said. “It is the best onramp for companies looking to get native AI initiatives off the ground and I believe that it can shape what it means for a business to be agent-ready.”

The funding extension comes as SurrealDB 3.0 is released into general availability. The company pitches it as being the most stable, performant and enterprise-ready release of the database.

SurrealDB 3.0 introduces architectural updates aimed at improving reliability and operational consistency, including a redesigned on-disk document representation, separation of stored values from executable expressions, ID-based metadata storage and synchronized writes enabled by default.

The release expands support for vector indexing and search, multimodal data storage and agent memory through context graphs embedded directly within the database layer. It also adds computed fields, record references and a plugin framework known as Surrealism. It allows business logic and access controls to be implemented as transactional, version-controlled modules inside the database runtime.

Image: SurrealDB