LanceDB is a Lakehouse Platforms company founded in 2022 and based in San Francisco, United States. It has raised $41M in total funding, most recently a Series A in 2025.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Jun 24, 2025 | Series A | $30M | — | Theory Ventures |
| May 15, 2024 | Seed | $8M | — | CRV |
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An open-source columnar data format designed for multimodal AI, combining fast random access with high-throughput scans so embeddings, documents, images, and video can live in one table on object storage. Downloaded more than 20 million times as of mid-2025, with native DuckDB and Hugging Face Hub support, 1.0.0 SDKs in Rust, Python, and Java, and a formal open governance structure added in early 2026.
An open-source, embedded retrieval engine built on Lance that delivers low-latency vector search, full-text search, and SQL filtering at billion-vector scale on a single node. It runs in-process with Python and Node.js bindings — a developer-friendly path from laptop prototype to production retrieval for RAG, recommendation, and search workloads — and anchors a GitHub project with over 10,000 stars.
A serverless managed version of LanceDB that separates storage from compute, storing data on low-cost object storage while scaling search elastically. Teams get production vector and hybrid search without managing infrastructure, paying for usage rather than provisioned clusters, with the same API as the open-source engine.
The flagship platform launched alongside the 2025 Series A, unifying four AI data workloads on one Lance-backed store: high-throughput search via a distributed serving engine, SQL-based exploratory data analysis, UDF-driven feature engineering with materialized views, and petabyte-scale training data management. Runs inside generative AI companies like Runway, Midjourney, and Character.AI, searching tens of billions of vectors.