GeekyAnts Wins AI and Digital Transformation Excellence Award at ET Now Business Conclave 2026

GeekyAnts won the "Excellence in AI & Digital Transformation" award on June 16, 2026, at the ET Now Business Conclave & Awards, Gujarat Edition, in Ahmedabad. ET Now, part of the Times Network, presented the award at an event that drew business leaders, policymakers, and technology executives from across the state.

Times Network organizes the conclave each year to bring regional growth priorities into conversation with the broader case for innovation. Shri Arjun Modhwadia, Cabinet Minister for Science and Technology in the Government of Gujarat, attended the event, and ET Now ran the proceedings throughout, including the award presentation.

GeekyAnts was nominated in the same category back in late May, based on its work in AI-led product engineering, enterprise modernization, cloud-native systems, and digital customer experience. The company is headquartered in San Francisco and also runs offices in Bengaluru and London, where its teams build cloud infrastructure and full-stack products for enterprise clients.

Three leaders from GeekyAnts were present at the conclave: Founder and CEO Kumar Pratik, Co-Founder Sanket Sahu, and Chief Revenue Officer Kunal Kumar. Pratik also joined a panel discussion at the event, where he returned to a point he makes often: technology systems should be built around outcomes a business can measure, not proofs of concept that stall out before reaching production.

The nomination in May and the win in June trace back to the same body of work. The "Excellence in AI & Digital Transformation" category is built around exactly what GeekyAnts has focused on: moving AI programs out of pilot stage and into production systems tied to client workflows that run day to day.

Kumar Pratik, Founder and CEO of GeekyAnts, stated, "AI-led transformation creates value when enterprises connect intelligence with secure systems, product workflows, and people who own outcomes. This recognition from ET Now validates the engineering discipline our teams bring to AI programs, from discovery and architecture to production deployment and measurable business impact."