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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
I'm working on Lantern. We're building the best platform to develop AI applications. Before Lantern, I worked at Y Combinator, on my own startups, and at Facebook. I studied computer science at Princeton, and grew up in Americus, Georgia.
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.
Founded 2023 · Source
Source-based assessment · automated evidence rules
The source reports an inactive or acquired company; current product identity needs review.
Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.
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