LanceDB
LanceDB, founded in 2022 in San Francisco, USA, develops a vector database supporting multimodal AI models for text, image, and video.
About
LanceDB, founded in 2022 in San Francisco, USA, develops a vector database supporting multimodal AI models for text, image, and video. The vector database market is highly competitive, with rivals including Qdrant, Vespa, Weaviate, Pinecone, and Chroma. LanceDB differentiates itself with greater flexibility, performance, and scalability.
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Capital graph
Company· 9
Investor· 3
Founders / team· 1
Funding history
- 2024-05Seed$8M
Investors · CRV, Essence VC, Swift VenturesSource · SVTR Weekly #053
Comparable companies· by market
This company
BusinessLatest roundTotal raisedDate- LanceDB
Vector database for multimodal AI models that process text, images and video
Seed · $8M · 2024-05
$8M
United States
BusinessLatest roundTotal raisedDate- Eventual
Data processing engine for AI developers to handle unstructured text, image, audio and video data on one platform
Series A · $20M · 2025-06
$20M - NomadicML
VLM-based video understanding and data management platform for autonomous driving, robotics and industrial automation customers, including Zoox, Mitsubishi Electric Automotive America and Zendar; claims to cut manual labeling costs by over 80%.
Seed · $17M · 2026-04
$17M - Superlinked
Tools for data engineers to convert all types of data into vector embeddings for machine learning and AI applications
Seed · $10M · 2024-03
$10M
China
BusinessLatest roundTotal raisedDate- MolarData
AI Power data annotation platform processing image, point cloud, 4D and RLHF training data for automakers and universities
Series A · $7M · 2024-08
$7M - 九有数据库
Database products focused on multimodal hyperconverged AI databases
Series A · 2026-03
— - 星忆科技
Multimodal data collection hardware and software
Angel · $1M · 2026-04
$1M
Europe
BusinessLatest roundTotal raisedDate- Heex
Helps process and analyze the large volumes of data generated by autonomous vehicles
Seed · $7M · 2024-01
$7M - SurrealDB
Multi-model database platform offering a single database system for developers who work with diverse data models and queries
Series A · $43M · 2026-02
$43M - BeatpulseLabs
Converts multimedia content and domain expert knowledge into structured, labeled and validated training datasets for enterprise AI teams, addressing high-quality data supply for multimodal model training, fine-tuning and evaluation.
Pre-Seed · $2M · 2026-06
$2M
Other / unspecified
BusinessLatest roundTotal raisedDate- Visual Layer
Analyzes hundreds of millions of images in AI training datasets to find mislabeled, corrupted or duplicate data automatically
Seed · $7M · 2023-05
$7M - Spike
Generative AI to help healthcare organizations manage and analyze large volumes of health data
Seed · $4M · 2024-06
$4M - Config
Training data infrastructure for robotics foundation models
Seed · $35M · 2026-05 · Valuation $200M
$35MValuation $200M
Confirmed rounds only. Matched on subsector, sector, stage and funding scale — each verifiable on the company profiles.
Investors that may fit
Y Combinator
22 Data deals in the last 24 months · 9 at a nearby stage · 22 in Silicon Valley
Request intro →Andreessen Horowitz
12 Data deals in the last 24 months · 4 at a nearby stage · 12 in Silicon Valley
Request intro →Lightspeed
12 Data deals in the last 24 months · 4 at a nearby stage · 12 in Silicon Valley
Request intro →General Catalyst
10 Data deals in the last 24 months · 6 at a nearby stage · 9 in Silicon Valley
Request intro →Felicis Ventures
9 Data deals in the last 24 months · 5 at a nearby stage · 9 in Silicon Valley
Request intro →Ranked by each firm’s deals in this sector over the last 24 months, weighted by nearby stage and shared geography. Indicative only — no rating judgment.