Human Archive
Category: Robotics / Embodied AI
Multimodal data provider for robotics and world modeling, collecting egocentric and tactile data via gig workers to train physical AI systems Human Archive was founded in 2026. The company is led by Raj Patel. Based in San Francisco, California, United States. Team size: 4-20. Total funding raised: $8.2M. Latest round: Seed. Key investors include Wing Venture Capital; NVP Capital; Y Combinator.
AMW Analysis
Human Archive is a multimodal data provider that collects egocentric and tactile data from gig workers to train physical AI systems. The company equips workers in India’s home services, hotel, restaurant, and food delivery sectors with custom headset cameras and multi-sensor rigs, including tactile gloves, to capture aligned datasets of human physical interaction for robotics foundation models.
The company recently raised $8.2 million in seed funding from Wing Venture Capital, NVP Capital, Y Combinator, and angel investors from OpenAI, Nvidia, Google, and Meta. This funding round, reported across multiple outlets in late May 2026, represents Human Archive’s first publicly disclosed capital raise. The news flow consistently highlights the company’s operational model of deploying gig workers in India to generate training data, positioning it as an infrastructure provider for the physical AI and robotics training market.
AMW analysis, generated from 3 tracked news signals.
- Founded
- 2026
- Headquarters
- San Francisco, California, United States
- Team size
- 4-20
- Total funding
- $8.2M
Value proposition
Collecting and labeling the world's largest aligned multimodal dataset of human physical interaction to train robotics foundation models and general-purpose robots
Products and solutions
HA-Multi (fully aligned multimodal dataset with vision, stereo depth, tactile gloves, body IMUs, wrist cameras); HA-Ego (mono RGB vision and wrist cameras dataset with annotations); Custom hardware rigs (camera caps, tactile gloves, full-body motion capture suits, wrist cameras); Data annotation and QA pipelines; Internal models for policy benchmarking
Unique value
Only company able to synchronize and collect headset RGB-D, force feedback, full-body motion capture, and synchronized chest/wrist camera data at scale across diverse real-world environments (homes, hotels, restaurants, factories, construction, agriculture)
Target customer
Frontier AI labs, robotics foundation model developers, general-purpose robotics companies, and university research labs building embodied AI systems
Industries served
Home services; Hospitality (hotels, restaurants); Manufacturing; Construction; Agriculture; Retail; Industrial
Technology advantage
Custom multi-sensor hardware (7+ products) capturing RGB-D, tactile force, motion capture, and audio synchronously; 1,000+ active headsets deployed; 50,000+ contributor network; 125+ industry partnerships; Proprietary QA, anonymization, and annotation pipelines; Internal model training for data quality validation on robots
How they differentiate
Custom hardware rigs capturing synchronized multi-modal data (vision, depth, tactile, motion capture) — not just video; deployment in diverse real-world environments across India; ability to fine-tune AI models and test on robots to demonstrate data quality
Main competitors
Scale AI (robotics data labeling); Humyn AI; Neocambrian AI; FPV Labs; Objectways
Key partnerships
125+ partnerships across hotels, restaurants, quick commerce platforms, construction sites, and factories in India; Y Combinator (W26 batch); Snabbit (exploratory discussions)
Major milestones
Founded 2026 by Stanford and UC Berkeley dropouts; Accepted into Y Combinator W26 batch; Raised $8.2M seed round (May 2026); Deployed 1,000+ custom headsets; Collected tens of thousands of hours of multimodal data; Launched HA-Multi and HA-Ego datasets; Built 25-person operations team in India
Growth metrics
1,000+ active headsets deployed; 50,000+ contributor network; 125+ industry partnerships; 7+ custom hardware products; 8,000 hours/day data collection capacity
Market positioning
Early-stage entrant in the rapidly growing robotics training data market, differentiated by multi-modal sensor fusion and real-world data collection at scale via gig economy partnerships in India
Geographic focus
India (primary data collection hub); San Francisco (HQ); Asia expansion
About Raj Patel
UC Berkeley dropout; previously a farmer (sold mangoes & planted trees)
Latest news about Human Archive
More Robotics / Embodied AI companies
Official website: https://www.humanarchive.ai/
