What is Staqu AI? Useful For Retail Stores Make Decisions, But How?

Staqu Technologies – an AI startup based in Gurgaon has made significant strides in the field of artificial intelligence. CEO Atul Rai highlights their journey which he began in the year, 2015 with the development of JARVIS, which is an AI-powered audio-video analytics technology that aided the Uttar Pradesh Police Department in extracting data from CCTV and other sources. The success of this platform led to collaborations with several state police departments in India including Rajasthan, Bihar, and Uttarakhand.

Staqu’s expansion continued as they supported the Bihar Election Commission by using CCTV for optical character recognition (OCR) during vote counting. Building on their success in security solutions; the company successfully ventures into enhancing revenue growth for various retail stores. They leveraged CCTV cameras to provide insights for the decision-making process regarding sales, operations, and marketing. Their services have been utilized by prominent and well-known retailers and manufacturers such as Adani Power, Croma, Starbucks, Café Coffee Day, and WeWork.

Staqu’s vision is to make every existing video streaming device intelligent by empowering it with its proprietary AI platform, JARVIS. This transformation aims to enhance security, safety, and operational efficiency, contributing to a more sophisticated nation.

In recent developments, Staqu expanded into the Middle East through a strategic partnership and established a presence in the United Kingdom.

AI plays a crucial role in Staqu’s products by providing customized solutions based on clients’ needs. These solutions improve customer engagement, enhance security with real-time threat detection, optimize resource allocation through demand forecasting, and automate operations to reduce costs.

Staqu has introduced audio analytics capabilities in JARVIS which enables the identification of scenes and individuals through microphone audio from CCTV cameras. This technology can detect SOS signals, triggering real-time alerts in critical situations.

Cloud technology and AWS have been instrumental in Staqu’s operations. The integration of cloud technology allowed for easy deployment, on-demand processing, and auto-scaling as needed. It eliminated the need for on-site hardware installations and reduced the total cost of ownership for customers. AWS services like Amazon S3, GPU servers and EC2 instances were used for various machine learning tasks which is further enhancing their offerings.