Atul Rai
CEO

Staqu's JARVIS is an AI-driven audio and video analytics platform that transforms CCTV footage into actionable insights, enabling real-time alerts and operational efficiency. It addresses the challenges of security management by providing precise data analytics for various sectors, including retail, manufacturing, and public safety, resulting in significant reductions in operational costs.
Raised to date
$2.2MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Organizations across various sectors struggle to efficiently analyze vast amounts of CCTV footage, hindering their ability to proactively address security threats, optimize operations, and improve customer experiences. Traditional methods of monitoring and reviewing video feeds are labor-intensive, prone to human error, and often fail to extract actionable insights in a timely manner.
JARVIS is an AI-powered audio and video analytics platform that transforms existing CCTV infrastructure into an intelligent surveillance and business intelligence system. By applying computer vision and deep learning algorithms to video and audio streams, JARVIS automatically detects and classifies events, objects, and behaviors, generating real-time alerts and actionable insights. The platform's user-friendly dashboard provides a centralized view of critical incidents, enabling security personnel and operations managers to respond quickly to potential threats, improve operational efficiency, and enhance customer engagement. JARVIS integrates seamlessly with existing CCTV systems, minimizing capital expenditure and enabling organizations to leverage their existing infrastructure for advanced analytics.
JARVIS targets organizations across various sectors, including retail, manufacturing, infrastructure, hospitality, public sector, and smart cities, seeking to enhance security, improve operational efficiency, and gain valuable business insights from their existing CCTV infrastructure.