Pratiek Sanklecha has spent 20+ years across business, technology and industry — starting inside distribution and physical operations, and eventually moving from operating businesses to building the technology those operations needed.

• 20+ Years Across business, technology & industry
• 2 Granted Patents Named inventor
• NASSCOM Former member, Regional Council – West Region
• ET Edge 40 Under 40 – West Recipient

That path began at the Sanklecha Group of Companies, the family enterprise established in 1941, where he worked in supply chain and distribution across FMCG and telecom, in businesses associated with brands including Unilever, Britannia, Cadbury, Vodafone, Idea and Reliance. It was an education in the physical economy conducted at close range — networks of retailers and routes, warehouses and working capital, and the exacting relationships between principals and the channels that carry their products to market.

Industrial work followed. The development of a 70,000 sq. ft. warehousing facility brought procurement, tendering, vendor negotiation and systems implementation together under a single set of deadlines — an early lesson in how closely digital systems and physical infrastructure depend on one another.

He founded Uniberry Technologies in 2017. The move from running operations to building technology for them is the through-line of his work: he had spent years depending on enterprise software before he started designing it.

What he is working on

His current work sits on a narrower question than “AI for enterprise”: what happens when AI meets real operating environments. Imperfect data. Accountability. Decisions that carry consequences and need someone to answer for them.

Enterprise systems were built around screens, forms and predetermined workflows. As software becomes more agentic, that assumption is worth re-examining — not by adding a chatbot to an ERP, but by asking which decisions should be automated, when a human should approve or override, and how a system should communicate its own uncertainty. These questions increasingly intersect with supply chains, industrial systems and the infrastructure on which AI depends.

His education has accumulated alongside the work rather than before it — commerce, computer applications, operations management, and continued study across data science, cyber law and AI-powered supply chains. The point was never the qualifications. It was staying able to move between the operating problem and the technical one without losing either.

Beyond the work

Beyond business, he is interested in mentoring and social-impact initiatives, particularly improving access to medical treatment and creating opportunities for children and underserved communities.

Connect

He welcomes conversations with entrepreneurs, industry leaders, researchers, investors and institutions working at the intersection of technology, enterprise and industry.

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