Staqu partners with IIT Delhi-FITT to promote Indian innovative sphere

Premier Artificial Intelligence (AI) implementation enabler, Staqu, has partnered with the Foundation for Innovation and Technology Transfer (FITT) at the Indian Institute of Technology (IIT), Delhi.

With this, Staqu aims to leverage the research-backed data available with IIT Delhi and maximize its utility and functionality for enhancing and improving the quality of real-time data collected by JARVIS, an AI-based video analytics platform.

FITT appointed Professor Chetan Arora as the project in charge (PI) for this research collaboration.

According to the statement, Staqu aims to integrate research-backed data to revolutionize the Indian innovation sphere. By utilizing the expertise of IIT Delhi’s researchers and FITT’s technology transfer capabilities, Staqu said it hopes to create a one-of-a-kind platform that is based on research-backed data and has real-time capabilities.

Atul Rai, CEO and Co-founder of Staqu, said, “We are excited to collaborate with IIT Delhi’s FITT and leverage their expertise in technology transfer. This collaboration will help us integrate research-backed data with JARVIS to make it more reliable and effective. We believe that this collaboration will help us in our goal of revolutionizing the Indian innovation sphere.”

FITT provides superior program management services and is steadily increasing its operational landscape. The many responsibilities played by FITT can be seen in its support of technological innovations and entrepreneurship, business alliances, technology development, consulting, cooperative R&D, technology commercialization, development initiatives, corporate memberships, etc.

These positions are required by the Foundation’s main mission, which is to demonstrate the Institute’s “intellectual ware” to the industry to unlock its knowledge base and embed industrial relevance in IIT Delhi’s teaching and research.

Staqu and FITT at IIT Delhi will work together to ensure that the research-backed data is optimally utilized to enhance the capabilities of JARVIS.

This collaboration will help JARVIS to better analyze data collected from various sources, including CCTV cameras, mobile phones, and social media, and provide critical insights to stakeholders in real time.

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