SurrealDB, a UK company developing a multi-model, AI-native database, has secured an additional €19 million ($23 million) in Series A funding, bringing the company’s total investment to-date (including Seed) to €37 million ($44 million).
Chalfen Ventures and Begin Capital join existing investors FirstMark and Georgian in this Series A extension, bringing the series total to €32 million ($38 million). This follows 2024’s €18.6 million raise, as reported by EU-Startups.
Tobie Morgan Hitchcock, co-founder and CEO at SurrealDB says: “This fresh investment demonstrates a growing level of excitement for our category-defining, developer-friendly database. Chalfen Ventures and Begin Capital have joined this round due to our strong momentum in real-world usage, and clear path to large-scale production.”
SurrealDB’s Series A extension comes amid sustained investment across Europe in AI-native infrastructure, agent platforms and developer-focused tooling.
In the UK, London-based Overmind secured €2.3 million in Seed funding to build a supervision layer for AI agents in regulated sectors, while Stanhope AI raised €6.7 million to advance adaptive AI systems. Also in the UK, Nscale attracted approximately €936 million to scale AI cloud and data centre infrastructure.
Elsewhere in Europe, Sweden’s Ivy Interactive raised €917k to accelerate AI-powered internal developer tools, Finland’s Agileday secured €6.4 million to build an AI operating platform, and Germany’s Blockbrain closed a €17.5 million Series A to develop enterprise-grade AI agents.
Additional rounds include UK-based Toyo, which raised €3.6 million for secure AI agents, Sweden’s Lovable with a €281 million Series B to scale its AI-native application platform, Prague-based Ankar, which raised €17 million for AI-driven intellectual property software, and Bandits, which secured €400k to streamline AI integration workflows.
Taken together, these 2025–2026 rounds amount to approximately €1.27 billion in disclosed funding across adjacent AI infrastructure, agent and developer tooling segments, reflecting continued capital allocation toward platforms that underpin autonomous systems, data orchestration and AI-native application development.
Within this context 0 and alongside several UK-based peers – SurrealDB’s expanded €32 million Series A positions it within a broader European investment cycle focused on foundational AI infrastructure and integrated data platforms designed to support production-grade, agent-driven systems.
Mike Chalfen, Founder at Chalfen Ventures and incoming Director of SurrealDB, says: “Every compute era requires a new database paradigm. 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 synchronised across data sources, fast, and secure. SurrealDB is that platform. It meets the needs of both AI agents and enterprise data governance.
“It is the best on-ramp 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.”
Founded in 2022, SurrealDB is a modern, cloud-native, multi-model database built to power the future of real-time and AI-native applications. With support for structured querying, graph traversal, embedded business logic, and now MCP-based agent memory, SurrealDB aims to simplify data infrastructure without compromising on power, scale, or developer experience.
The funding extension comes as SurrealDB 3.0 is released under General Availability (GA) as the most stable, performant, and enterprise-ready release of the popular database.
The company explains that AI Agents need a unified view of state (semantic context, structured facts, and durable memory) but struggle to remember facts consistently, understand relationships, and to keep context and memory – particularly when data size and complexity grows. SurrealDB 3.0 is reportedly the only database to enable first-class agent memory and context graphs inside the database, so models run next to the data, context stays synchronised, and agent logic remains simple.
The new funding will help accelerate product maturity and adoption – especially around reliability, performance, security, cloud, and enterprise readiness. SurrealDB will also expand its team to scale its cloud offering and deepen support for production deployments.
Justin Foley, VP of Engineering at Later says: “Every integration you carry is a compounding tax on speed and a ceiling on what you can build. SurrealDB collapses your data infrastructure into one. On that foundation, we built autonomous AI capabilities that would have been impossible on a conventional stack. Simplicity compounds into everything you build next.”
SurrealDB 3.0 is a next-generation database, built in Rust, and is designed to unify multiple data models into a single, powerful solution. It combines relational, document, graph, time-series, vector, search, geospatial and key-value data types with real-time capabilities. This allows developers to build AI applications faster and more efficiently.
This is important because juggling multiple databases, and complex API layers to integrate them, reduces speed, increases complexity and cost. Consequently, AI Agents don’t have the right data, context or memory to generate relevant outcomes.
SurrealDB 3.0 moves beyond storing data: becoming the foundation for agent memory and intelligence. As developers build increasingly autonomous systems, the line between data, logic, and perception blurs. SurrealDB 3.0 evolves from a multi-model database into a multi-modal platform for AI agents – one that can understand, recall, and extend its own context.
SurrealDB 3.0 also handles structured records alongside images, audio, and documents – queryable within SurrealQL. Enhanced vector search andindexing let agents store and retrieve embeddings with millisecond precision.
As adoption has grown, the company says developers are asking for a more predictable, extensible, and expressive way to build with SurrealDB. 3.0 brings a refined model that’s simpler to reason about and faster to build on. Developers can now define custom API endpoints directly within the database, manage complex workflows through client-side transactions, and express logic safely with Computed Fields and Record References.
Read the orginal article: https://www.eu-startups.com/2026/02/london-based-surrealdb-raises-additional-e19-million-to-scale-multi-model-database-for-ai-applications/
