Supabase, the fast-growing PostgreSQL platform, has raised $100 million in Series E funding co-led by Accel and Peak XV, pushing its valuation to $5 billion as demand for AI-ready databases accelerates.
Core to their vision is the Multigres, Supabase’s enterprise-scale, AI-optimized evolution of PostgreSQL which will allow companies of all sizes to natively run and scale large language models, search, and recommendation engines without the usual headaches of bolted-on solutions. And pgvector, a Postgres extension that turns the classic relational database into a modern vector store, natively supporting “embeddings”.
This enables everything from semantic search to chatbot memory and personalized recommendations, right inside a trusted database architecture.
Founded by Paul Copplestone (CEO) and Ant Wilson (CTO), Supabase’s developer-first approach shines in how it integrates AI tooling. With pgvector fully managed and a user-friendly Python client, even non-experts can store, index, and retrieve embeddings at scale. The feature-rich API, support for serverless Edge Functions in JavaScript, and built-in Hugging Face integration enable seamless deployment and transformation of business data for AI use cases.
This developer experience is why the platform’s reach has doubled in months, growing from 2 million to over 4 million developers and fueling adoption by more than 100,000 customers, including innovation leaders and power users from recent Y Combinator cohorts.
An All-Star Technical Roster
Supabase’s ambitions are matched by its expanding team. To spearhead the rollout of Multigres, the company bought on Sugu Sougoumarane, co-creator of Vitess, the open-source tech that allowed YouTube and Slack to operate databases at global scale through sharding and clustering. His experience is crucial as Supabase adapts these principles for PostgreSQL, offering compatibility and an “on-ramp” for companies growing from startups to petabyte-scale systems.
He joins a technical brain trust that already includes Postgres core contributors, the co-founder of NGINX, and Y Combinator alumni. It’s a deep bench with credibility across every layer of cloud data engineering.
Unlike proprietary database upstarts, Supabase is doubling down on open source and community ownership. The company is reserving an allocation of the Series E round for direct community investment, unusual among venture-backed startups and a nod to the developer advocates who fueled its rise.
“Our community is what makes Supabase special, and it’s a priority to give them the opportunity to co-invest in what we’re building,” said CEO Paul Copplestone.
Supabase’s blog and documentation are awash in transparency, from detailed feature roadmaps to open discussions on architectural trade-offs. This open engagement has amplified its global footprint, with a self-serve model popular among solo devs and enterprise teams alike.
What Lies Ahead
The coming expansion, Multigres, aims to offer “Vitess for Postgres,” a solution with simple connection pooling for smaller use cases and petabyte-friendly sharding and failover at the high end. It promises global-scale performance without sacrificing the compatibility, reliability, or open standards that make Postgres a default choice for mission-critical apps.
Multigres will allow businesses not just to store and query structured and unstructured data, but to run sophisticated AI workflows, vector search, AI retrieval, content generation natively within the database. That reduces complexity, cuts costs, and positions Supabase to serve as the backbone for the coming explosion of AI services.
With $100 million in new funding, a swelling base of developers, and top-tier technical leadership, Supabase is betting that the future of AI will be built on trusted, open, and highly extensible data platforms.
