Vision AI is entering an inflection point. As enterprises seek to digitize physical operations, video is emerging as one of the richest yet least-utilized data sources. In this interview, Vikram Gupta, Founder & CEO, Awiros shares why the next decade will belong to Physical AI, why platforms will outperform point solutions, and how India can become a global powerhouse in enterprise Vision AI.
As more organisations are adopting Vision AI, how is Awiros positioning itself to address this growing demand?
The growing adoption of Vision AI across industries is a strong indicator that organisations increasingly recognize the value of visual intelligence in improving safety, security, operational efficiency, and business decision making. As adoption accelerates, enterprises are looking beyond standalone AI applications toward platforms that can manage Vision AI deployments at scale.
At Awiros, we have been enabling this transformation for years. Our Vision AI Operating System powers largescale enterprise deployments across airports, smart/safe cities, transportation, manufacturing, aerospace, airframer supply chain, energy, logistics, and other critical sectors. The platform abstracts infrastructure complexity and enables organisations to deploy, orchestrate, and continuously improve hundreds of AI applications across thousands of cameras from a single platform.
Our conviction is simple: enterprises will not buy hundreds of isolated AI products; they will adopt one intelligent platform capable of running every visual workflow. As Vision AI becomes a foundational enterprise technology, organisations need a scalable, interoperable platform that can evolve with their business. That is exactly what Awiros delivers today.
Which sectors will drive the next wave of Vision AI adoption?
The next wave will be driven by industries where milliseconds matter and operational excellence directly impact profitability and safety. Manufacturing, aerospace, aviation, logistics, energy, mining, defense, law enforcement and critical infrastructure are already moving beyond digitization toward autonomous operations.
The remarkable part is that the infrastructure already exists. Millions of cameras have been deployed over the past decade, but most still function as passive recording devices. Vision AI transforms them into intelligent sensors capable of understanding events, predicting failures and automating decisions.
Just as cloud computing became the backbone of digital enterprises, Vision AI will become the intelligence backbone of physical enterprises.
Which use cases have matured from pilots to enterprise deployments?
The conversation has fundamentally shifted. A few years back, customers asked, ‘Can AI detect this?’ Today they ask, ‘How quickly can we deploy this across 200 facilities?’
Safety compliance, quality inspection, predictive maintenance, process adherence and operational analytics are now board level transformation initiatives because they deliver measurable ROI through lower downtime, higher productivity and improved safety.
This evolution signals that Vision AI is no longer experimental technology, it is becoming enterprise infrastructure.
Is existing CCTV infrastructure fully utilized?
Not even close. More than 95% of enterprise video is never analyzed in real time. Organisations have invested billions in cameras but derive only a fraction of their potential value.
Video is the largest untapped enterprise dataset. The next competitive advantage will come not from installing more cameras, but from extracting intelligence from every existing camera and converting visual information into autonomous business decisions.
How has your global product strategy evolved?
We discovered that business problems vary by geography, but platform requirements remain universal: scalability, openness, security and rapid deployment.
Instead of building different products for different countries, we built one enterprise grade platform that adapts to regional regulations while supporting industry specific workflows. That approach allows customers to innovate faster without vendor lock-in and protects their AI investments over the long term.
Why build a platform instead of standalone applications?
History consistently favors platforms. Enterprises that adopted cloud platforms outpaced those managing individual servers. Smartphone ecosystems outperformed standalone mobile software.
Vision AI will follow the same trajectory. A unified platform enables customers to deploy one application today and hundreds tomorrow without rebuilding infrastructure. That dramatically lowers the cost of innovation while creating an ecosystem where developers, partners and enterprises can continuously create new value.
What breakthroughs will define the next decade?
We are moving from computer vision to cognitive infrastructure. Vision AI will evolve from detecting objects to understanding context, reasoning about events and orchestrating autonomous actions.
Multimodal AI, edge computing, robotics and AI agents will converge into what we call Physical AI, systems that continuously observe, understand and improve real-world operations.
In the future, factories will optimize themselves, airports will coordinate themselves, and industrial assets will request maintenance before failure. Cameras will become the intelligent collaborators rather than passive sensors.
Our long-term vision at Awiros is to establish our Vision AI Operating System as the platform powering the autonomous physical world. We believe Vision AI will become as fundamental to industry as ERP systems have been to enterprise software and cloud platforms have been to digital transformation.
Our Vision AI Operating System already enables enterprises to deploy, manage, and scale AI-powered visual intelligence across diverse industries, and we continue to expand its capabilities to support the next generation of autonomous operations.
Artificial Intelligence has transformed digital workflows over the last decade. The next decade will be about transforming the physical world. The organisations that can convert visual data into intelligence, intelligence into decisions, and decisions into autonomous action will define the next industrial revolution. That is the future we are building at Awiros.”