Lantern
Postgres vector database extension to build AI applications
Based based in San Francisco, CA, USA, Lantern works in b2b.
Profile
Lantern is the easiest way to build AI applications using Postgres.
We started Lantern because we believe AI is going to impact every single enterprise in every single industry. We want to allow every company to tap into their unstructured data to build better applications.
With Lantern Cloud, developers have access to everything they need to build an AI application: embedding generation, vector compression, vector search, efficient indexing, and more. All on top of the database they already know, Postgres, and using infrastructure that scales to billions.
Check out our code on Github: https://github.com/lanterndata/lantern
As a business in b2b, Lantern is listed here with the public details available about it.
Its base of operations is San Francisco, CA, USA.
The company is listed at the Winter 2024 stage of development.
Its team size is recorded as 3 employees.
Directory analysis
Lantern is a B2B startup headquartered in San Francisco that extends PostgreSQL with vector database capabilities to enable AI application development. It offers embedding generation, vector compression, search, and efficient indexing—all built on the familiar Postgres platform and designed to scale to billions of vectors. Lantern’s goal is to help enterprises leverage their unstructured data for AI use cases.
Positioning: Lantern targets developers and enterprises that already use PostgreSQL, positioning itself as a plug‑in that adds AI‑ready vector functionality without requiring a new database stack. Its emphasis on ease of integration and large‑scale performance distinguishes it within the AI infrastructure market.
Note: Lantern turns PostgreSQL into an AI‑ready vector database.
Auto-generated directory analysis from public data · updated 11 Oct 2026. Informational only, not investment advice.
| Sector | B2B |
|---|---|
| Headquarters | San Francisco, CA, USA |
| Country | USA |
| Employees | 3 |
| Stage | Winter 2024 |
Website: lantern.dev
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