manot
Model performance monitoring for computer vision
Industry: AI
Business Model: B2B
Founded: 2021
Startup Stage: Pre-Seed
Product Stage: Beta
About

manot allows companies that use Computer Vision systems to monitor the performance of their models in the real world. We reduce the feedback time from months to hours, filter out massive datasets to propose new samples of data for your training data

Recent News & Activity

manot is currently a part of UC Berkeley's Skydeck program. We are now actively working on delivering pilot projects for several customers.

Funds raised

Yes

Previous Round

Pre-seed

Investors

SmartGateVC, Berkeley Skydeck, Various Angel Investors

Team: 0-5

Members
 
Chinar Movsisyan
CEO
Chinar is a machine learning scientist with graduate degrees in informatics and computer science from Yerevan State University and Grenoble Institute of Technology. She is currently finishing her Ph.D. under the supervision of Sos Agaian.

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