Humyn Labs Commits $20M to Build Human Data Infrastructure for Physical AI

Humyn Labs, an AI company developing human data infrastructure for physical AI firms worldwide, today announced a $20 million commitment to accelerate its objective of organising and validating human intelligence at scale.

The committed capital will be deployed across three key pillars to build the infrastructure powering next-generation Physical AI systems at Humyn Labs, co-founded by Manish Agarwal and Ishank Gupta.

At its core, Humyn Labs is scaling egocentric, source-first data collection, capturing first-person, real-world human activity through visuals and movements across commercial, agricultural, and residential environments in India, Southeast Asia, LATAM, and the Middle East. This includes how humans see, navigate, and physically interact with their surroundings, creating rich, context-aware datasets for training Physical AI systems.

Voice is emerging as a critical interface for Physical AI, powering real-world commands, inputs, and human-robot interactions. To support this, the company is expanding its voice data capabilities across 33 languages, dialects, accents, and code-switching patterns, ensuring that Physical AI systems can understand, interpret, and respond to human instructions with deep contextual and cultural accuracy.

Further strengthening this stack, Humyn Labs will launch its Robotics Labs to build high-fidelity simulation environments and world models seamlessly integrating real-world egocentric data with training frameworks to accelerate the deployment of intelligent, responsive, and globally adaptable Physical AI systems.

Manish Agarwal, Co-Founder, Humyn Labs, said, “Every real-world AI system will need continuous human data to train and validate, making this a foundational, always-on infrastructure layer. The demand is immediate and global. As Physical AI scales, we see Humyn Labs growing rapidly to serve this need at scale and becoming a key enabler of next-generation AI systems.”

Humyn Labs collaborates with frontier technology companies to convert signals from real-world communities into structured human data systems used to train and evaluate next-generation AI models. The diversity of physical environments, operational conditions, and edge cases that Humyn Labs draws from gives its validation infrastructure a distinct edge.

Ishank Gupta, Co-Founder, Humyn Labs, adds, “The world’s best AI models are only as good as the human intelligence behind them. Having operated across five continents, I can tell you - the Global South isn’t just where this data comes from, it’s where the future of AI is being built.”

The global AI training data market is projected to reach $25 billion by 2030, with Physical AI validation emerging as its most technically demanding and fastest-growing segment. Humyn Labs is building at that frontier as the infrastructure company that organises and validates the human data the industry can depend on.