
Challenge & transform the legacy sponsorship commerce structure underpinned by innovation11-50 Employees
- Early StageStartup in initial stages
Nanoyotta Technologies careers
Challenge & transform the legacy sponsorship commerce structure underpinned by innovation and data-science rather than conjecture
Nanoyotta Technologies, a subsidiary of Global Sports Commerce (GSC), is a AI-focused technology and analytical firm, specializing in the Big Data, Machine/Deep Learning and Computer Vision domains. Nanoyotta aims to challenge and transform the legacy sponsorship commerce structure underpinned by innovation and data-science rather than conjecture, using real-time analytics on text, image, video empowered with advanced data science and content overlay platform.
MAPLYTIKS is a real-time brand sponsorship analytics product that uses the latest Deep Learning and Computer Vision technology to enable stakeholders to make informed and intelligent commercial sponsorship decisions.
Offering: Track the holistic brand performance across media platforms, providing measurable metrics and also deep-data insights to unlock new and optimize existing sponsorship assets.
Nanoyotta Technologies, a subsidiary of Global Sports Commerce (GSC), is a AI-focused technology and analytical firm, specializing in the Big Data, Machine/Deep Learning and Computer Vision domains. Nanoyotta aims to challenge and transform the legacy sponsorship commerce structure underpinned by innovation and data-science rather than conjecture, using real-time analytics on text, image, video empowered with advanced data science and content overlay platform.
MAPLYTIKS is a real-time brand sponsorship analytics product that uses the latest Deep Learning and Computer Vision technology to enable stakeholders to make informed and intelligent commercial sponsorship decisions.
Offering: Track the holistic brand performance across media platforms, providing measurable metrics and also deep-data insights to unlock new and optimize existing sponsorship assets.
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Suresh Srinivasan
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