Below is our recent interview with the team from Intozi:
Q: Could you provide our readers with a brief introduction to your company?
A: Intozi is a deep-tech Vision AI company headquartered in Gurugram, India. Our platform, Ikshana, turns a customer’s existing IP/CCTV infrastructure into a real-time operational intelligence, layering AI-driven analytics on top of cameras organizations already have. We work across governments, industries, and enterprises, and today serve 500+ customers with 300+ ready-to-deploy AI use cases spanning manufacturing, smart cities,traffic & transportation, defense, airports, and oil & gas.
Q: What makes you the best choice? How are you unique?
A: Most vendors ask organizations to rip out and replace their surveillance systems before they can get any AI value from them. We don’t. Ikshana works seamlessly with the IP/CCTV infrastructure our customers already have, and supports Edge, On-Premise, Air-Gapped, or Cloud deployment depending on the requirement.
We deploy fast – in days, not months, with zero coding required to adapt use cases to a specific site. Our proprietary AI models help in faster customization, higher accuracy, and up to 50% lower compute costs than off-the-shelf alternatives.
The platform itself is built for real operational use, not demos. Real-time video analytics with self-learning algorithms that continuously improve accuracy, 300+ ready-to-deploy AI use cases with no-code custom analytics capabilities, intelligent alerts and incident management, and an enterprise dashboard for centralized visibility across multiple sites.
Q: Who is your ideal client and why?
A: Our ideal clients are large enterprises or infrastructure-heavy organizations — smart city administrations, defense and government agencies, airports, manufacturing companies, traffic & transportation authorities, warehouse & logistics operators, and oil & gas majors – that already operate extensive camera networks but aren’t extracting operational value from that footage. These are environments where real-time detection and analytics directly translate into safety, efficiency, or compliance gains.
Q: What’s the core technology or innovation behind what you do?
A: Ikshana is built around real-time computer vision models that run against a customer’s existing IP/CCTV feeds – no new cameras, no hardware overhaul. The platform currently supports 300+ ready-to-deploy AI use cases, from perimeter and safety monitoring to operational analytics. The innovation isn’t just the AI itself, it’s making that AI deployable on infrastructure organizations already have, which is usually the biggest barrier to adoption.
Q: What problem were you solving when you started the company?
A: Organizations were sitting on huge investments in CCTV infrastructure that did nothing but record – footage nobody watched until after something went wrong. We started Intozi to turn that passive infrastructure into a real-time intelligence layer, so the same cameras that were only ever used for after-the-fact review could actively help detect and prevent issues as they happen.
