Human Archive Analysis
What is Human Archive?
Human Archive is a data lab that models human embodied intelligence by collecting and synchronizing multimodal datasets. The company works with video, sensor, audio, RGB-D, tactile, and motion-capture data, and says its infrastructure supports research into manual labor automation, cognition, spatial computing, and prosthetics. It reports 100,000+ contributors, 500+ industry partners, backing from Y Combinator, and an $8.2 million seed round.
Location
San Francisco, United States
Employees
1-10
Founded
2026
Industry
Human Archive Operates In The Field Of **data Archiving And Analysis**, Specifically Focusing On **embodied Intelligence**. This Industry Involves The Collection, Storage, And Analysis Of Multimodal Data That Captures Physical Interactions And Experiences In The Real World. The Company Provides Solutions That Support Research In Cognitive Science, Facilitate Data Collection For Analyzing Physical Environments, And Assist Educational Institutions In Archiving Interactions Related To Embodied Learning. Additionally, Human Archive Aids Organizations In Developing Applications For Embodied Ai, Making It A Key Player In The Intersection Of Data Science, Cognitive Research, And Artificial Intelligence Technologies.
Business Model
Pure Industrial Software
Business Model v4
AI research
Delivery Model
Self-serve SaaS / software
Functional Type
Other
Funding Status
Seed
YC Batch
W26
YC Partner
Jared Friedman
Product Features & Capabilities
- Multimodal data archiving solutions
- Embodied intelligence frameworks
Use Cases
Support research in embodied cognition; Facilitate data collection for physical world analysis; Enable educational institutions to archive physical interactions; Assist organizations in developing embodied AI applications; Provide tools for analyzing multimodal data sets
Who are the founders of Human Archive
SM
Samay Maini
Co-Founder & CTO at Human Archive
RP
Raj Patel
Co-Founder | Human at Human Archive
Product Description
Human Archive offers multimodal data archiving solutions designed to support embodied intelligence. Their main product features include:
- Synchronized Multimodal Capture: This allows for the simultaneous collection of various types of data, enhancing the richness of the information gathered.
- 3D Pose Estimation: This feature enables the analysis of human movements in three dimensions, which is crucial for applications in cognitive science and embodied learning.
- Real-Time Hand Tracking: This technology facilitates the tracking of hand movements in real-time, which can be beneficial for interactive applications and research.
- Object & Scene Segmentation: This capability allows for the identification and separation of different objects and scenes within a dataset, improving the understanding of complex environments.
The benefits of these offerings include enhanced efficiency and profitability for businesses, particularly in sectors focused on AI and cognitive research. Human Archive targets researchers in cognitive science and educational institutions that emphasize embodied learning.
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