Funding · AI & Deep Tech

Human Archive raises $8.2m Series A

What they do

Human Archive collects human sensorimotor data to train physical AI and robots

The company raised $8.2 million in a Series A round led by Wing Venture Capital

It has partnered with over 125 companies across India's service and industrial sectors

Human Archive raised $8.2 million in a Series A funding round.
The round was led by Wing Venture Capital.
The startup collects human sensorimotor data to train physical AI systems and robots.
Four co-founders aged 20 dropped out of UC Berkeley and Stanford University.
They use cameras and sensors to capture movement for robot training datasets.
It aims to scale up to millions of hours of training data.
The founders are backed by angels from OpenAI, NVIDIA, and Google.

Physical AI requires vast amounts of real-world human movement data to function.
Young founders are disrupting the data collection space with low-cost gig models.
The sector is seeing increased interest from top-tier tech investors.

Human Archive gathers sensorimotor data from humans performing various tasks.
It uses 4K cameras, depth-sensing cameras, and tactile gloves.
Workers wear wrist-mounted cameras and arm/chest IMUs during tasks.
The data undergoes anonymisation and annotation before being sold.
Proprietary models handle motion capture and hand-tracking reconstruction.
The company targets millions of hours of high-quality training data.
It operates primarily in India with partners in hotels and factories.
Workers earn between $1 and $10 per hour for their participation.
The business model relies on scaling data collection through gig workers.