Contextual understanding
We aim to interpret activity alongside its timing, location and surrounding events, turning visual signals into useful information.
FROM FOOTAGE TO UNDERSTANDING
We’re building Kamaris, an agent-based video intelligence product that brings context to existing camera footage.
Explore KamarisCurrently in development
YOUR RULE
“Notify me if someone enters the loading area after hours.”
An entry was detected in the loading area outside the defined working hours. The event was summarized for review.
Illustrative scenarios showing our product approach.
Part of our startup journey
THE KAMARIS APPROACH
We combine computer vision with agent-based AI to help surface relevant events and reduce the effort of reviewing camera recordings.
We aim to interpret activity alongside its timing, location and surrounding events, turning visual signals into useful information.
We’re developing a way to describe the situations you want to monitor in everyday language.
We plan to turn long recordings into concise event summaries, with relevant notifications based on the rules you define.
WE ARE CAGE
We’re a team of four, building video intelligence for real-world needs.
Based at MEF Technology Center, we bring engineering, software and computer vision together in Kamaris. CAGE has been accepted into the TÜBİTAK BİGG 1812 program and MEF TEKMER.
GET IN TOUCH
For product inquiries and collaboration, get in touch with our team.