Artemis Search is a vector database search with a twist. We use special-purpose deep-learning models instead of using textual / semantic similarity to evaluate how good a search result is. This enables us to actually reason how well search results match the intent of the search query, eliminating the problems that come from evaluating search results on how much they look like the search query.
Austin is a Caltech CS graduate with an emphasis in applied mathematics and finance. Austin has an academic background developing and publishing computer graphics technology and machine learning models at Caltech's Aerospace Robotics and Control (ARCL) laboratory. Austin also has experience launching and selling several small technology businesses ($100k - $1M ARR) centered around developing and selling B2B and B2C software products.
Cofounder of Artemis Labs, we built Umbria. I'll rebuild your product docs in Umbria for free!
Manvir is a self-taught software engineer who specializes in building robust and intuitive technology accessible to clients from all backgrounds. He has coordinated with his co-founder, Austin, on previous ventures and looks forward to bringing his experience to bear with Artemis.
Umbria is the fastest way to launch designer grade docs!
Here’s how it works:
See our own site & docs built with Umbria here: Umbriadocs.com
You can get started for free — or contact Kyle for a special deal! (kyle@umbriadocs.com)
We’re going to build docs for 24 hours straight on a YouTube stream next Wednesday (the 11th)!
Why? Becuase we can. Reach out for a shoutout, we’ll feature your docs!