Name

Human Archive

Legal name

Human Archive Inc.

Website

https://humanarchive.ai

Company type

Private

Founded year

2025

Operating status

Operating

Headcount range

51–100 employees

Ownership category

akta.pro rank

Product category

AI Training Data

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG)

Keywords

• Multimodal training data
• Egocentric video datasets
• Physical AI data
• Robotics training datasets
• Embodied intelligence data

Headquarters

HQ city

Mountain View

HQ country

United States

HQ region

North America

Offices3 records

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Supply Chain, Operations, Infrastructure, Others

Revenue model

1. Data licensing to AI developers: Core revenue stream: collects, labels, and organizes egocentric video, sensor, audio and motion data captured by gig workers, then licenses/sells the resulting datasets to AI developers — including frontier AI labs and humanoid-robotics companies — for training physical AI systems.
2. Hardware/data-collection service offering: Human Archive plans to launch a paid-to-record service across India and globally, where partner businesses/workers are paid (base rate ~$1/hour) to use Human Archive's camera and sensor rigs; revenue derives from the resulting data assets rather than hardware margins.

Pricing tiers

Go-to-market motion1 record

Distribution channels3 records

Marketing channels4 records

Core offering

Human Archive operates a multimodal data-collection platform that captures, labels, and time-synchronizes egocentric video (RGB, RGB-D), audio, tactile, and motion-capture data from camera-equipped headsets, wrist cameras, sensor hardware, and tactile gloves worn by gig workers across homes, hotels, restaurants, agriculture, construction, industrial, and retail environments. The company aggregates these streams through 100,000+ contributors and 500+ industry partners into long-horizon datasets that it licenses to frontier AI labs and humanoid-robotics companies for training physical AI systems.

Product overview

Human Archive operates as a single, unified data-collection platform — described by the company as a "data lab modeling human embodied intelligence" — built around proprietary hardware (camera-equipped headsets, wrist cameras, sensor hardware, motion-capture systems, and tactile gloves in development) that capture first-person video, audio, and sensor data, paired with a software stack that labels and synchronizes the streams into multimodal datasets. The hardware components (Data-Collection Headsets, Wrist Cameras, Sensor Hardware Devices, Motion-Capture Systems, and Tactile Gloves) feed the core Human Archive Multimodal Data-Collection Platform, which then exposes organized, anonymized multimodal datasets to customers through the gated Human Archive Researcher Dashboard (offering RGB, RGB-D, audio, tactile, and mocap samples) for training physical AI and robotics systems.

Differentiator

Problem solved

Functional benefit

Products and services

• Human Archive Multimodal Data-Collection Platform End-to-end data-collection platform that equips gig workers with camera-equipped headsets and sensor hardware to capture, label, and synchronize first-person egocentric task data for robotics and physical AI training across homes, hotels, restaurants, agriculture, construction, and industrial environments; datasets are licensed to frontier AI labs and humanoid-robotics developers.
• Paid-to-Record Data Collection Service Paid-to-record service that recruits gig workers and industry partners in India (and expanding globally) to wear Human Archive's camera-equipped headsets and sensor hardware while performing tasks across home services, hospitality, food service, agriculture, construction, and industrial sectors; the service supplies the underlying data asset for the company's dataset-licensing business.
• Human Archive Researcher Dashboard Gated researcher and customer dashboard that provides off-the-shelf multimodal dataset samples (RGB, RGB-D, audio, tactile, and mocap) to qualified researchers and prospective enterprise customers who request access via the company's contact form.

Quantifiable outcome

• More than 1,000 egocentric data-collection headsets and 50+ sensor devices deployed in the field.
• +2 more outcomes

Segments6 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability8 records

Feature6 records

Partnerships

Three partnerships are on record, tiered early-stage commercial partnership discussion, early-stage, with public friction between the founders and core supply-side channel for distributed data capture.

• Snabbitearly-stage commercial partnership discussionStrategic or Co-development PartnerSnabbit confirmed signing a mutual NDA with Human Archive over discussions similar to Pronto's egocentric-data pilot, indicating exploration of a paid-to-record data-collection partnership across home services.
• Prontoearly-stage, with public friction between the foundersStrategic or Co-development PartnerHuman Archive explored a paid-to-record partnership with Pronto (Bengaluru/Gurugram-based home services startup) for egocentric data collection inside homes; Pronto ultimately did not move forward, and Human Archive founder Rushil Agarwal publicly criticised Pronto's approach after reports of in-home recording emerged.
• 500+ industry partners across homes, hotels, restaurants, agriculture, industrial, construction, and retailcore supply-side channel for distributed data captureChannel Partner/ Reseller/ DistributorHuman Archive's website states it collects, labels and synchronizes multimodal data through 500+ industry partners across these sectors, providing access to gig workers and physical environments for headset deployment.

Scale indicators9 records

Recent moves7 records

Expansion highlights7 records

Direct peers

• Skild AI: Skild AI develops robot foundation models that ingest large-scale, real-world manipulation data. Like Human Archive, it sits at the intersection of embodied AI and data infrastructure and competes for the same scarce human demonstration datasets.
• Figure AI: Figure AI develops humanoid robots that require exactly the kind of long-horizon, multimodal human demonstration data Human Archive is collecting. It is a high-value prospective buyer and a potential long-term competitor in dataset ownership.
• Defined.ai: Defined.ai operates a training-data marketplace that sells labeled datasets to AI developers, including specialized datasets for robotics and computer vision. It mirrors Human Archive's data-monetisation revenue model and shared target buyer profile of enterprise AI teams.
• Scale AI: Scale AI is the largest AI data-labeling platform and has been expanding into robotics and embodied-AI training data. It competes directly with Human Archive for frontier-AI-lab dataset contracts and pursues a similar model of organizing human labor into AI-ready training data.
• 1X Technologies: 1X is a humanoid-robotics company whose NEO platform relies on egocentric and teleoperation data. It is both a representative Human Archive customer archetype and an emerging player that could internalize data collection.
• Physical Intelligence (Pi): Physical Intelligence builds foundation models for robots and is a flagship buyer type for egocentric, multimodal human demonstration data. It represents both a likely Human Archive customer and a credible alternative path for capturing embodied-AI value.

Broad incumbents

• Meta (Ego4D / Ego-Exo4D): Meta has funded the large-scale Ego4D and Ego-Exo4D egocentric video datasets and is one of Human Archive's stated angel investors. It represents both the most credible competing public egocentric dataset and a strategic channel partner.
• NVIDIA: NVIDIA's Isaac sim, GR00T foundation model, and Cosmos world-model platform represent a sim-to-real alternative to real-world egocentric data. As a Human Archive angel investor and dominant physical-AI infrastructure provider, NVIDIA is a key strategic counterpart.
• Google DeepMind: DeepMind co-led the Open X-Embodiment / RT-X consortium, the dominant open multimodal robotics dataset. As a Human Archive angel-investor constituency and frontier-model developer, it is both a competitor in open data and a high-value customer for proprietary extensions.

Others

• Appen: Appen is a long-established AI training-data vendor with global crowd operations, comparable to the supply-side gig-worker model Human Archive operates in India. It is an incumbent adjacent player whose customers overlap with Human Archive's buyer base.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• Xx.com/babugi28

Revenue estimate

Valuation estimate

Number of profiles

Profiles4 records

Funding overview

Funding rounds2 records

Investors4 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Human Archive