There is a quiet, frustrating reality at the front door of every large factory, corporate office, and hospital. Physical security and workforce attendance have remained largely stuck in the past, relying on a fragmented patchwork of biometric scanners, plastic ID cards, and security guards manually verifying faces. And when it comes to actual security, existing enterprise CCTV cameras are almost entirely passive — recording events only for someone to review them after a breach has already occurred. We have built incredibly smart software for the cloud, yet the way we manage human movement in the physical world remains painfully slow, deeply disconnected, and full of friction.
It takes builders with a profound grasp of deep tech and the ambition to turn passive hardware into real-time, proactive intelligence to solve this at the root. That is exactly what Suhas A and the team are doing with INUKA AI.
Founded in 2025, the Bengaluru-based team is building a deeply intelligent, privacy-first computer vision platform that transforms ordinary, existing enterprise CCTV networks into an active, autonomous security and intelligence system.
INUKA AI’s NexZig platform deploys edge AI and high-speed, walk-by face recognition that works entirely in real time. Instead of forcing employees to stop, queue up, and scan, the system continuously and accurately authenticates individuals as they simply walk through a lobby or across a factory floor — delivering touchless, sub-second attendance logs at massive scale. But it goes far beyond time-tracking; the platform autonomously handles liveness detection, real-time perimeter security, and access control without requiring enterprises to rip out and replace their existing cameras.
The true moat here is uncompromising speed paired with privacy-first architecture. INUKA AI doesn’t just capture raw video; it intelligently parses physical movement and turns it into structured, actionable data while ensuring biometric information remains strictly secure. It completely abstracts away the soul-crushing administrative busywork of managing lost access cards, manual registers, and buddy-punching. It shifts the paradigm entirely from retroactive surveillance to real-time, fluid enterprise intelligence.
The market? Large-scale manufacturing plants, massive corporate parks, retail chains, and hospitals that desperately need to manage physical access and workforce operations at scale without breaking their daily momentum.
Seeing homegrown founders head-down, quietly architecting the heavy-duty computer vision infrastructure that fundamentally modernizes how enterprises manage physical space, is profoundly inspiring. They are replacing physical bottlenecks with seamless movement, giving enterprises their time and their security back.
Let’s celebrate the builders.
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