India is preparing for Census 2027, its 16th national count, set to become the world’s largest digital enumeration exercise. The plan includes digital integration and mobile-based data collection to capture detailed demographic, social, and economic information. Authorities also intend to conduct comprehensive caste enumeration, with government funding approved to support accurate policymaking.
Humyn Labs, a physical AI startup, plans to deploy $20 million to scale its human data layer, aimed at making robots learn beyond controlled environments. The funding will expand data collection operations across India, Southeast Asia, Latin America, and the Middle East—addressing a major bottleneck for robotics companies: limited availability of high-quality, real-world human data.
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Indian startups are rushing into egocentric data collection, capturing first-person video and actions to train robots for safe movement and advanced manipulation. Robotics labs want billions of hours of such footage, and companies like Humyn AI and Objectways are building datasets across diverse real-world contexts. The race is turning everyday human perspective into the fuel for next-gen robotics.
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