Postgres vector database extension to build AI applications
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
Last stage
Seed
Investors
Narek Galstyan
Now building the only database you'll need for your AI applications. I was an early engineer at Timescale, a billion-dollar Postgres company, where I contributed core features. I did my undergrad at Princeton, where I built a safe OS schedule in Rust for my thesis. More recently, I was a PhD Student at UC Berkeley working on distributed systems.
LinkedInDi Qi
Before Lantern, Di worked at Y Combinator building internal tools, co-founded Racer (a quick-commerce YC-backed startup), and worked on Ads Ranking at Meta. She studied CS at Princeton.
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.