Smart Cameras, Smarter Decisions: The Enalytix Interview
In an exclusive interaction, we spoke with Neerja Kumar, COO and Co-founder, and Rajul Tandon, CEO and Founder of Enalytix, to understand how the company is redefining AI-powered video analytics in India and beyond. From solving real-world deployment challenges to building privacy-first, scalable solutions for retail, manufacturing, and Safe City projects, the founders share insights into their growth journey, innovation roadmap, and global expansion plans.
- What service does your company provide? What was the motivation/vision with which you started?
Enalytix provides an AI-powered video analytics platform that transforms ordinary CCTV cameras into actionable intelligence systems. The company works across retail, QSR, hospitality, manufacturing, logistics, and Smart City environments, helping businesses improve efficiency, enhance safety, optimize workforce management, and elevate customer experience.
“Our SaaS platform delivers real-time insights and alerts for operations, workforce management, customer experience, and safety,” says the founders. “It enables teams to act on data rather than just collect it.”
The vision behind starting Enalytix was simple yet ambitious, to move businesses beyond passive surveillance. Across industries, organizations record vast amounts of video data but struggle to extract meaningful insights from it. Enalytix was built to convert raw footage into real-time intelligence that drives measurable operational impact.
“Our goal has always been to build practical AI solutions that make everyday operations smarter, faster, and more reliable, while keeping accuracy, privacy, and real-world applicability at the core.”
- What new features have been added in the past year? What is/are the USP/s of your SaaS?
Over the past year, Enalytix has expanded its product capabilities significantly. New features include automated pilferage detection, AI Video Scan for blacklisted-face and lost-child detection, enhanced customer journey analytics for retail and café chains, improved video-proof systems for e-commerce order verification, and upgraded workforce tools such as advanced facial attendance and automated shift management.
A key differentiator is that the platform works seamlessly with existing CCTV infrastructure, eliminating the need for heavy hardware changes. Unlike traditional systems, Enalytix analyzes video feeds live and generates instant alerts, enabling immediate action in scenarios such as crowd management, safety breaches, or operational delays.
The company’s thin Edge AI architecture runs on-premise and does not require constant internet connectivity, making deployments secure, reliable, and scalable across industries.
- What were the most significant challenges your company faced in the past year and how did you overcome them?
One of the biggest learnings for Enalytix was understanding that lab accuracy does not equal production accuracy. AI models that perform well in controlled settings often face challenges in real-world environments due to varying lighting conditions, camera angles, occlusions, and high-density movement.
“We realized that every client environment is unique. A single standardized model cannot solve every use case,” the founders explain.
To address this, the company created a strong feedback loop between deployment teams, clients, and its AI engineering unit. Continuous real-world data inputs enabled retraining and fine-tuning of models to achieve production-grade accuracy. Experience across retail, QSRs, temples, and other high-density public environments helped refine solutions for industry-specific nuances.
Scalability in safety and surveillance projects was another major hurdle. Monitoring thousands of camera feeds in real time requires substantial GPU power, which can limit cost-effective scaling. Enalytix tackled this by engineering thin Edge systems that process data closer to the source, reducing dependency on centralized infrastructure while maintaining speed and accuracy.
Privacy and compliance also became increasingly important, especially after the implementation of India’s Digital Personal Data Protection Act, 2023 in November 2025. While the industry grappled with stricter regulations around Personally Identifiable Information, Enalytix had already adopted a privacy-first architecture.
The platform processes data on-device, focuses on metadata instead of storing raw footage, and does not collect or process PII. For example, demographic insights such as gender are derived without facial identification. Additionally, every reported metric is supported by visual evidence in the form of images or short clips, improving transparency and customer trust while staying compliant.
“These challenges pushed us to strengthen both our technical architecture and our communication strategy. They ultimately made our platform more robust and responsible.”
- What are the important tools and software you use to run your business smoothly?
Enalytix operates on a combination of in-house systems and global enterprise tools. The company uses its own ERP platform to manage the deployment lifecycle, from pre-live planning to post-live monitoring, along with a custom-built helpdesk system for streamlined customer support.
For collaboration, the team relies on Microsoft Teams. Data analytics is powered by tools such as Power BI, while AWS supports hosting and scalability. Agile development and version control are managed through Jira, GitHub, and GitLab.
On the marketing side, tools such as Mailchimp, Google Analytics, and Semrush are used for campaigns and performance tracking, while Figma and Canva support design and branding consistency.
- How do you plan to expand the Customers, product features, and team base in the future?
Looking ahead, Enalytix’s growth strategy focuses on three pillars, customers, product, and team expansion.
On the customer front, after strengthening its presence in retail over the last two years, the company is expanding into manufacturing and Safe City projects. Having built a strong foundation in India, Enalytix is now targeting international markets including the Middle East, Africa, and the UK.
From a product perspective, the focus is on building holistic AI solutions that integrate seamlessly with enterprise systems and become part of core operational decision-making. This includes scaling AI-powered safety and surveillance offerings, on-prem alert platforms, crowd management systems, and live pedestrian maps for high-footfall environments such as temples, religious gatherings, and urban hubs.
In terms of team growth, the company initially invested heavily in building a strong engineering backbone. Now, it is expanding its sales, marketing, and strategic leadership teams, along with strengthening channel partnerships to accelerate both domestic and global expansion.
With a privacy-first approach, scalable Edge architecture, and sector-focused innovation, Enalytix is positioning itself as a next-generation AI intelligence partner for enterprises and smart infrastructure projects worldwide.
