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Overview
LanceDB is an open-source vector database designed for AI applications, storing and managing high-dimensional vectors and multimodal data. It runs serverlessly with a compute-storage split to lower costs and offers multiple indexing options, including vector indexes, for fast queries; it provides hybrid search by combining semantic and full-text search as point lookups inside the database. Its open-core model plus a managed cloud (LanceDB Cloud) for enterprises gives it a cost-aware and scalable option compared to traditional managed databases. The goal is to provide developers with a production-ready, scalable, and cost-efficient datastore for AI embeddings and multimodal data, enabling easy deployment and integration for AI-powered apps.
About LanceDB
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
11-50
Company Stage
Series A
Total Funding
$38.1M
Headquarters
San Francisco, California
Founded
2022
Your Connections
People at LanceDB who can refer or advise you
Simplify's Take
What believers are saying
- Midjourney, Runway, and Character.ai validate production demand for multimodal AI infrastructure.
- Hybrid vector, full-text, and SQL search simplify retrieval stacks for AI teams.
- Open-source adoption funnels developers into LanceDB Cloud and enterprise governance offerings.
What critics are saying
- Pinecone, Milvus, and Weaviate already dominate vector-database evaluation cycles.
- Databricks and Snowflake can bundle native multimodal search into existing contracts.
- Open-source usage converts poorly, leaving LanceDB Cloud with weak paid pull-through.
What makes LanceDB unique
- Chang She co-created Pandas and led engineering at Tubi and Cloudera.
- LanceDB stores vectors, metadata, and raw multimodal data in one table.
- Compute is stateless over object storage, avoiding RAM-bound vector infrastructure.
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Funding
Total Funding
$38.1M
Above
Industry Average
Funded Over
3 Rounds
Y CombinatorIndustry standards
Benefits
Remote Work Options
Hybrid Work Options
Flexible Work Hours
Health Insurance
Dental Insurance
Vision Insurance
Wellness Program
Mental Health Support
Professional Development Budget
Conference Attendance Budget
Stock Options
Company Equity
401(k) Retirement Plan
401(k) Company Match
Phone/Internet Stipend
Home Office Stipend
Meal Benefits
Paid Vacation
Paid Sick Leave
Paid Holidays
Parental Leave
Family Planning Benefits
Fertility Treatment Support
Adoption Assistance
Childcare Support
Elder Care Support
Relocation Assistance
Pet Insurance
Gym Membership
Growth & Insights and Company News
6 month growth
↑ 2%1 year growth
↑ 7%2 year growth
↓ -2%We have closed another funding round to accelerate development of the Multimodal Lakehouse - a unified platform for AI data infrastructure.
Bengaluru, June 24, 2025 - LanceDB, an open-source platform designed to handle large-scale multimodal AI workloads, has raised $30 million in its latest funding round.
LanceDB has secured $30 million in Series A funding to enhance its AI data platform, with major investors like Theory Ventures and Y Combinator participating. The funding will support LanceDB's efforts to integrate multimodal data types, such as text, video, images, and audio, which are crucial for advancing AI capabilities. This investment reflects confidence in LanceDB's strategy to help enterprises manage complex data workflows, essential for future AI models.
LanceDB raises $8M to speed up AI models with its open-source vector database - SiliconANGLE
LanceDB raises $11M to build an open-source multimodal AI database for app development.
LanceDB is Hiring for 2 Jobs on Simplify!
Find jobs on Simplify and start your career today
About LanceDB
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
11-50
Company Stage
Series A
Total Funding
$38.1M
Headquarters
San Francisco, California
Founded
2022
LanceDB is Hiring for 2 Jobs on Simplify!
Find jobs on Simplify and start your career today