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Ottonomy is building robots for real-world logistics

With a production facility in Noida, Sunnyvale-based deeptech startup Ottonomy has deployed its products across North America, Europe, the Middle East, and India.

Ottonomy is building robots for real-world logistics

Ritukar Vijay, CEO of Ottonomy, a deeptech startup founded in 2020, has been working on revolutionizing logistics with autonomous robots. The company's focus lies in the "messy middle" of logistics – moving samples, meals, parts, and parcels between buildings and campuses. This is a notoriously challenging area where labor shortages have always been a significant hurdle, and traditional robotics has made little headway.

The COVID-19 pandemic acted as a catalyst for change. Hospitals, industrial campuses, and travel hubs suddenly required contactless movement of goods and supplies. The startup pivoted its efforts to cater to these needs, leveraging Vijay's two decades of experience in robotics and autonomous driving, along with the expertise of his college mate Hardik Sharma and former colleagues Pradyot Korupolu and Ashish Gupta.

Ottonomy is headquartered in Sunnyvale, California, but its team of over 60 members are primarily based in Delhi's National Capital Region (NCR), India. The startup recently won the prestigious Accenture Tech Next Challenge 2026 in the 'Supply Chain and Engineering' category. This victory provided the team with valuable insights into scaling Physical AI in the enterprise and connections with leaders driving change in large organizations.

Aditi Kulkarni, Lead of Advanced Technology Centers Global Network and Advanced Technology Centers in India at Accenture, emphasizes the transformative potential of autonomous technologies. She states that through initiatives like the Accenture Tech Next Challenge, these innovations can be brought closer to clients, industry experts, investors, ecosystem partners, and academia, ultimately paving the way for real-world applications and scalable enterprise reinvention.

Written by urgent.news from YourStory's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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