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September 2025

JARVIS transforms CCTV into intelligent surveillance with AI-powered audio and video analytics.

STARTUPS & INNOVATORS

1 TRADITIONAL CCTV CAMERAS TURNING INTO INTELLIGENT EYES!

Founded in 2015 by engineers Atul Rai, Anurag Saini, and Pankaj Sharma, Gurgaon-based Staqu Technologies specialises in intelligent audio-video analytics, turning traditional CCTV cameras into AI-powered surveillance and insight-generation tools.

Its flagship product, JARVIS, acts as a real-time video and audio analytics engine capable of extracting actionable insights from standard CCTV feeds without requiring any new hardware. Connecting an existing camera's IP address to the JARVIS portal enables instant monitoring and analysis.

While describing its features, Atul explains that JARVIS carries out both security and operational functions across multiple domains. In security scenarios, it can detect incidents such as violence, intrusions, fires, and overcrowding. Additionally, it performs activity recognition by analysing context-based behaviour over time, enabling it to identify events such as physical altercations or monitor routine tasks, such as cleaning.

For operational or commercial applications, such as in retail, hospitality, and co-working spaces, JARVIS generates insights including footfall count, gender ratio, customer journey mapping, area engagement analysis, queue times, and conversion rates.

While explaining the origin of the company's name, Atul shares that, as engineers, they wanted something rooted in computer science. 'Stack' and 'queue' are two fundamental data structures, so they combined the two forming 'Staqu' as a nod to its technical background.

On the electronics front, Atul explains that JARVIS operates using a suite of AI models. It utilises convolutional neural networks (CNNs) for visual detection and incorporates advanced transformer-based models, including large vision models (LVMs), for classification tasks. On the audio side, JARVIS employs models for both speaker and scene recognition.

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