Artemis Search

A search technology that actually finds what you’re looking for.

Y CombinatorSummer 2022ActiveB2BArtificial IntelligenceMachine LearningSaaSB2B

What they do

Problem

Traditional search systems return irrelevant results because they rely on textual or semantic similarity rather than understanding user intent.

Solution

Artemis Search provides a vector database search system that uses special-purpose deep-learning models to evaluate and rank results based on intent match.

Who it's for

Developers and organizations building search experiences who need more accurate, intent-aware retrieval.

Founders

Austin McCoy

Founder

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 Singh

Founder

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.