The team

We’re building OpenVector.

We connect camera monitoring to the software teams use every day, so an empty shelf can trigger a restock request and a missed procedure can trigger an alert.

OpenVector reviews how each workflow performs and identifies where it can improve. It can adjust the steps, prompts, and choice of model to meet your requirements. You decide which changes run automatically and which need your approval.

Backed by
Professor Shimon Ullman

Humans navigate the visual world quite robustly and perform many types of useful work using vision. It has been challenging to bring similar abilities to machines, but in the age of large vision language models, that is starting to become possible. OpenVector is exciting because it makes this technology work in real-time, for any camera, which can enable the automation of many types of labor.

Professor Shimon UllmanEECS, MIT
Affiliations & recognition
  • Google
  • MIT
  • Tata
  • Harvard University
  • Carnegie Mellon University
  • Weizmann Institute of Science
  • Computer Vision Foundation
  • HI Lab
  • Sundai Club
The launch

Watch the launch.

A two-minute look at what OpenVector does and why we built it.