Human Archive
"Archiving the physical world for embodied intelligence"
Data lab capturing aligned multimodal human-interaction data to train robotics and embodied-AI foundation models.
Human Archive is a US-based data lab building large-scale multimodal datasets for robotics and embodied (physical) AI. Founded by Stanford and Berkeley researchers and backed by Y Combinator, the company collects and labels aligned multimodal data that captures how humans physically interact with their environment, addressing the data bottleneck that limits progress in embodied spatial intelligence. Human Archive uses custom hardware rigs - including camera-equipped headsets, tactile gloves, and motion-capture systems - to record and synchronize egocentric video, depth mapping, and haptic sensory logs from real-world settings. Captured data passes through internal pipelines for quality assurance, anonymization, 3D pose estimation, and annotation, producing diverse, high-fidelity datasets delivered at scale to frontier AI labs and general-purpose robotics companies developing robotics foundation models and world models.
The company has built a distributed data-collection operation, including tapping India's gig and services workforce to record real-world human activity for physical-AI training. Human Archive raised an $8.2 million seed round to scale its capture infrastructure and annotation operations. By positioning itself as a multimodal data provider purpose-built for robotics and world modeling rather than a general AI software vendor, the company supplies the labeled, sensor-aligned training data that humanoid and manipulation robots require to learn dexterous, human-like physical behavior.
Primary type & automation activities this supplier delivers:
Company Facts
Founded
-
Primary Role
Software/Algorithm
Company Size
-
Primary Region
North America
Annual Sales
-
Funding Stage
Early-Stage VC
Funding Total
-
Certifications & Memberships
Inside Saga Robotics: UVC Light vs. Crop Disease
Saga Robotics CPO Damian Flynn on the Thorvald platform's UVC treatment system, its jump from UK strawberries to California wine grapes, and why he's “incredibly bullish” on applying automation and robotics into industries “most chaotic environment.”
WAIC Review 2/4: World Models vs. VLA: Robotics' Next 'ChatGPT Moment'
At WAIC 2026, world-model and VLA camps staked rival paths to generalist robots; Zhiyuan, SenseTime and NVIDIA predict a robot 'ChatGPT moment' in 2-5 years.
WAIC Review 4/4: From Port AGVs to Hospital Night Shifts: What WAIC 2026 Reveals About Real Robot Deployments
From 530+ AGVs at a Singapore port to robots on Apple's line, WAIC 2026 speakers shared concrete data on where embodied AI robots are actually working today.
ROBOTTODAY Weekly July 20 – 24, 2026
Your weekly robotics briefing: AGIBOT unveils four new robots at WAIC 2026, the NDAA bars Chinese humanoids from the U.S. military, SoftBank eyes Gravis Robotics for its Roze vehicle, and Anduril reveals its Thunder autonomous attack tiltrotor at Farnborough.
Big Joe's Four-Product AMR Push at Automate 2026: What It Reveals About the North American Warehouse Automation Market
RobotToday analyzes Big Joe's four new autonomous vehicles launched at Automate 2026 — AP44, ASC40, ATC100, ACV40 — in the context of North America's warehouse labor shortage and AMR market growth.
The Most Important AI at WAIC Wasn't a Robot
At WAIC 2026, AI-native platforms quietly replaced interpreter hardware — what invisible AI infrastructure means for robotics and embodied AI.
WAIC 2026 Ten Flagship Exhibits
WAIC 2026 named ten Flagship Exhibits from 3,000+ products — spanning domestic AI superclusters, humanoid robots, general-purpose agents, AI wearables, and protein design AI. Engineering breakdown by RobotToday.
AI for Science 2026: The Global Race for Scientific Discovery
2026 AI for Science landscape report: WAIC 2026 exhibitor breakdown, MIT Boltz-2 and CMU Coscientist case studies, US/China/EU policy comparison, Anthropic Claude Science, and US academic cautionary views.
WAIC 2026: Embodied Intelligence Enters Industrial Deployment Era
WAIC 2026 in Shanghai (July 17–20) saw 200+ embodied intelligence companies, 300+ live robots, and first confirmed humanoid deployments in logistics and pharmacy. RobotToday engineering analysis.
India's $1/hour Data Collection Model Gains Popularity
A novel data collection model is emerging in India, utilizing head-mounted cameras worn by workers to capture first-person footage. This innovative approach, spearheaded by the teenage founders of Egolab AI, has garnered significant attention and was recently acquired by a US company, highlighting its growing importance in the industry. Additionally, the startup Human Archive has successfully raised $8.2 million to enhance this data collection method. This initiative not only aims to provide valuable data for artificial intelligence training but also offers workers an opportunity to earn supplementary income. The combination of technology and economic support is positioning these startups at the forefront of a transformative movement in data collection.
Data Collection AI Training Wearable Technology Gig Economy
This startup is betting India’s gig economy can train the world’s robots
Human Archive, a startup established by researchers from Berkeley and Stanford, is engaging gig workers in India to wear camera-equipped caps and sensor devices. This initiative aims to gather real-world physical training data, which is increasingly sought after by AI and robotics laboratories. By leveraging the capabilities of gig workers, the company is addressing the growing demand for diverse and comprehensive datasets necessary for advancing technology in these fields. The project highlights the intersection of innovative research and practical application, as it seeks to enhance the development of AI and robotics through firsthand data collection.
AI robots wing vc physical ai Human Archive
Agricultural Robotics | Post-Harvest Automation: The $7.5B System Shaping the Food Supply
Post-harvest robotics automate sorting, grading, packing, and cold storage across the $7.5B equipment market. Deep-dive on TOMRA, Unitec, MAF Roda, Greefa, JBT, Bühler, and the AI-driven platforms replacing 450,000+ packhouse workers by 2030.
