Artemis Search
ActiveA search technology that actually finds what you’re looking for.
About
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.
Founders · 2
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.
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.
Launch
Drag-and-drop to make interfaces for any program
Artemis offers a drag-and-drop webtool to design front-ends for internal tools, producing interfaces that run in a browser (and offline) and can be integrated into code with minimal steps. It targets developers building internal dashboards, control panels, and GUIs, available for $9/month after a 1-week free trial.
From the original launch (Aug 2022) — may be outdated.
Formerly “Artemis”, “Artemis Labs”, “Umbria (by Artemis Labs)”
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