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Human Archive
Human Archive
Visibility15
Vibe85
Businesses/Artificial Intelligence/Human Archive
Human Archive
AI Visibility & Sentiment

Human Archive

Human Archive is an AI data company focused on archiving physical world data for embodied intelligence applications. They collect real-world task data from humans to train AI systems, positioning themselves at the intersection of robotics, AI, and human motion capture.

Active Monitoring
humanarchive.ai
Artificial IntelligenceYC25-26
AI Visibility Score
15/100

Invisible

Sentiment Score
85/100
Score by Priority

How often this business is recommended to users across different types of conversations — from direct product queries to broader open-ended conversations where AI could recommend this company's products and services

core
15
adjacent
13
OverviewLandscapeInsights & ActionsConversationsCitationsBrand Voice

Is this your business?

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Human Archive today.

Human Archive functions as a specialized powerhouse within the Claude ecosystem, yet it remains a ghost to the broader AI industry across ChatGPT and Google AI Overviews. While the brand holds a commanding lead in niche robotics research and physical-world data queries, its total absence from enterprise-scale data operations conversations represents a massive disconnect between its technical capability and market visibility.

Working in your favor

Significant authority within Claude, achieving a 42% mention rate and top-tier rankings for 'physical world data collection' and 'human motion capture datasets'.

High resonance with the Robotics Research Lead persona, where visibility peaks at 44%, suggesting the brand is already the preferred recommendation for deep technical specialists.

Excellent brand sentiment and 100% visibility on direct brand vibe checks across all major platforms, indicating a strong core identity that simply needs wider distribution.

Gaps to close

Total invisibility on ChatGPT and AI Overviews across all tested queries, ceding the entire conversational search market to legacy players like Scale AI and Appen.

Zero engagement with the Enterprise Data Operations Manager persona, failing to appear in any queries related to scaling AI data curation or general specialized labeling.

Inability to compete in high-volume category searches such as 'best platforms for human task performance data', where the brand is currently overlooked in favor of Labelbox and CloudFactory.

Opportunities

Capitalize on the growing 'Embodied AI' sector where Human Archive already shows promise in Claude, positioning against hardware-centric competitors like Vicon and Xsens.

Bridge the 'Enterprise Gap' by translating technical robotics superiority into broader data operations use cases that appeal to a non-researcher audience.

Exploit the high average position in Claude (#1 for reliable physical world data) to create definitive guides that can be indexed by OpenAI and Google models.

Highest-Impact Actions
1

Execute an LLM-targeted technical documentation overhaul to penetrate ChatGPT's knowledge base.

With 0% visibility on ChatGPT, Human Archive is missing the primary entry point for AI developers; structured, crawlable technical data is required to fix this.

2

Develop and publish 'Comparison Hubs' targeting the 'Data Partner Evaluation' query category.

Competitors like Scale AI dominate this space despite Human Archive's superior specialized data; the brand needs to explicitly claim its space in the evaluation phase.

3

Pivot content strategy to target the 'Enterprise Data Operations Manager' persona with scalability-focused messaging.

Current visibility is trapped in the research lab; moving to enterprise-level queries is essential for capturing high-value commercial contracts.

Value Proposition

Providing curated, real-world physical task data that enables AI systems to understand and replicate human movements and interactions in the physical world.

Overview

Human Archive is an AI data company focused on archiving physical world data for embodied intelligence applications. They collect real-world task data from humans to train AI systems, positioning themselves at the intersection of robotics, AI, and human motion capture.

Mission

Archiving the physical world for embodied intelligence.

Products & Services
Physical world data collection and archivingHuman task performance data for AI trainingEmbodied intelligence datasetsData labeling and curation services
Current State

Visibility Landscape

A high-level view of how Human Archive performs across AI platforms, broken down by strategic priority level — from core brand queries to growth opportunities.

ChatGPTChatGPT
ClaudeClaude
GeminiGemini
AI OverviewsAI Overviews

Reputation1q

Brand recognition & direct queries

97
97
70
97
“What do you know about Human Archive? What do they do and what's their reputation?”
#1
#1
Yes
#1

Core4q

Product/service category queries

0
76
21
0
“best platforms for human task performance data for ai training”
No
No
No
No
“most reliable companies for physical world data collection right now”
No
#1
No
No
“help me find a service that does specialized data labeling and curation for physical tasks”
No
#4
No
No
“where can i find human motion capture datasets for embodied AI training”
—
#2
#9
No

Growth Areas1q

Adjacent, aspirational & visionary

0
88
0
0
“how to get data for training a humanoid robot to do household chores”
No
#4
No
No
ChatGPT
Claude
Gemini
AI Overviews

“What do you know about Human Archive? What do they do and what's their reputation?”

ChatGPT#1
Claude#1
GeminiYes
AI Overviews#1

“best platforms for human task performance data for ai training”

ChatGPTNo
ClaudeNo
GeminiNo
AI OverviewsNo

“most reliable companies for physical world data collection right now”

ChatGPTNo
Claude#1
GeminiNo
AI OverviewsNo

“help me find a service that does specialized data labeling and curation for physical tasks”

ChatGPTNo
Claude#4
GeminiNo
AI OverviewsNo

“where can i find human motion capture datasets for embodied AI training”

ChatGPT—
Claude#2
Gemini#9
AI OverviewsNo

“how to get data for training a humanoid robot to do household chores”

ChatGPTNo
Claude#4
GeminiNo
AI OverviewsNo
Competitive Landscape
1
Scale AI
26 mentions
2
Labelbox
20 mentions
3
Appen
13 mentions
4
CloudFactory
11 mentions
5
Vicon
10 mentions
6
OptiTrack
10 mentions
7
Xsens
10 mentions
8
AMASS
8 mentions
9
Ego4D
7 mentions
10
MuJoCo
7 mentions
11
Human Archive
6 mentions
Analysis

Insights & Recommended Actions

What's working, what's not, and specific steps to improve Human Archive's AI visibility.

Key Findings

Strength

Significant authority within Claude, achieving a 42% mention rate and top-tier rankings for 'physical world data collection' and 'human motion capture datasets'.

Strength

High resonance with the Robotics Research Lead persona, where visibility peaks at 44%, suggesting the brand is already the preferred recommendation for deep technical specialists.

Strength

Excellent brand sentiment and 100% visibility on direct brand vibe checks across all major platforms, indicating a strong core identity that simply needs wider distribution.

Recommended Actions

1

Execute an LLM-targeted technical documentation overhaul to penetrate ChatGPT's knowledge base.

With 0% visibility on ChatGPT, Human Archive is missing the primary entry point for AI developers; structured, crawlable technical data is required to fix this.

2

Develop and publish 'Comparison Hubs' targeting the 'Data Partner Evaluation' query category.

Competitors like Scale AI dominate this space despite Human Archive's superior specialized data; the brand needs to explicitly claim its space in the evaluation phase.

3

Pivot content strategy to target the 'Enterprise Data Operations Manager' persona with scalability-focused messaging.

Current visibility is trapped in the research lab; moving to enterprise-level queries is essential for capturing high-value commercial contracts.

Programmatic Testing

Sample Conversations

We programmatically analyze questions that real customers are asking to AI agents and chatbots, extract brand mentions and sentiment, analyze every response, and synthesize the data into an action plan to increase AI visibility.

ChatGPTChatGPTClaudeClaudeGeminiGeminiAI OverviewsAI Overviews
Training Robots For Real World Tasks(2 queries)

“how to get data for training a humanoid robot to do household chores”

0/4 platforms mentioned

Adjacent
ChatGPTChatGPT
1.EPIC-KITCHENS-100
2.Ego4D
3.YCB Object and Model Set
4.RoboNet
5.ShapeNet

+49 more

ClaudeClaude
1.Intel RealSense
2.Azure Kinect
3.Xsens MVN
4.OptiTrack
5.RoboNet

+22 more

GeminiGemini
1.Open X-Embodiment
2.RT-X
3.Google DeepMind
4.BridgeData V2
5.UC Berkeley

+29 more

AI OverviewsAI Overviews
1.NVIDIA Blog
2.DROID
3.TEACh
4.RH20T
5.Humanoid Everyday

+16 more

“where can i find human motion capture datasets for embodied AI training”

2/3 platforms mentioned

Core
The Robotics Research Lead · Lead Research Scientist
ClaudeClaude
1.CMU Motion Capture Database
2.Human Archive
3.AMASS
4.VICON
5.REMI

+1 more

GeminiGemini
1.AMASS
2.Human3.6M
3.MPI-HDM05
4.SFU
5.SMPL
9.Human Archive

+13 more

AI OverviewsAI Overviews
1.AMASS
2.Human3.6M
3.CMU MoCap
4.HUMOTO
5.Nymeria

+11 more

Source Intelligence

Citations

The sources AI platforms cite when recommending this brand. Pendium reverse-engineers what's already proven to be catnip to AI agents, then engineers content that fills gaps and helps agents do their job — which means more citations for you.

Into the Omniverse: How OpenUSD and Synthetic Data Are ...

blogs.nvidia.com

Web1 ref

New dataset for training household robots to follow human ...

amazon.science

Web1 ref

Humanoid Everyday: A Comprehensive Robotic Dataset for ...

arxiv.org

Web1 ref

AgiBot releases humanoid manipulation dataset to enable ...

therobotreport.com

Web1 ref

RH20T: A Comprehensive Robotic Dataset for Learning ...

rh20t.github.io

Web1 ref

The DROID Dataset | DROID Docs

droid-dataset.github.io

Web1 ref

New Algorithm Teaches Robots Through Human Perspective

research.gatech.edu

Edu1 ref

Teaching Robots to Tackle Household Chores

developer.nvidia.com

Web1 ref

How to train a robot with motion capture - Xsens.com

xsens.com

Web1 ref

RoboTurk - Crowdsourcing Robotics

roboturk.stanford.edu

Edu1 ref

Machine Learning for Household Chores

resources.pcb.cadence.com

Web1 ref

This new system can teach a robot a simple household task ...

technologyreview.com

Web1 ref

Building AI Data for the Robotics Industry to Train Robots

objectways.com

Web1 ref

Unlocking Motion Data for Humanoid Robotics with Rokoko

rokoko.com

Web1 ref

27 Top Data Vendors in 2026 - Crunchbase

about.crunchbase.com

Web1 ref
Brand Identity

Brand Voice & Style

How AI perceives Human Archive's communication style and personality

Human Archive communicates with a futuristic, minimalist tone that reflects the cutting-edge nature of embodied AI. The voice is technical yet accessible, speaking to sophisticated AI practitioners while maintaining an air of mystery and innovation. The brand uses concise, impactful statements that convey ambition and purpose without excessive explanation, letting the bold vision speak for itself.

Core Tone Traits

Futuristic & Visionary

Speaks to a transformative future where AI understands the physical world

Minimalist & Precise

Uses few words with maximum impact, avoiding unnecessary elaboration

Technical yet Accessible

Addresses sophisticated concepts in clear, understandable terms

Quietly Confident

Projects authority without being boastful, letting the mission speak for itself

Visual Identity

Primary

#000000

Secondary

#9A9A9A

Accent

#FFFFFF

Background

#FFFFFF

Foreground

#111111

Backing

Investors

Y
Y Combinator

Engineer content that makes AI agents recommend you

Pendium analyzes how AI platforms perceive your brand, reverse-engineers what they already cite, and continuously publishes content designed to fill gaps and earn more mentions — on autopilot, with you in the loop.

Data generated by Pendium.ai AI visibility scanning. Last scanned February 27, 2026.

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Frequently asked questions

Don't see your question? Book a demo and we'll walk you through it.

Human Archive is an AI data company focused on archiving physical world data for embodied intelligence applications. They collect real-world task data from humans to train AI systems, positioning themselves at the intersection of robotics, AI, and human motion capture.

Providing curated, real-world physical task data that enables AI systems to understand and replicate human movements and interactions in the physical world.

AI Visibility Score

Human Archive has an AI visibility score of 15/100, rated as invisible. This score reflects how often and how prominently Human Archive appears in responses from AI assistants like ChatGPT, Claude, and Gemini.

AI Perception Summary

Human Archive functions as a specialized powerhouse within the Claude ecosystem, yet it remains a ghost to the broader AI industry across ChatGPT and Google AI Overviews. While the brand holds a commanding lead in niche robotics research and physical-world data queries, its total absence from enterprise-scale data operations conversations represents a massive disconnect between its technical capability and market visibility.

Strengths

  • Significant authority within Claude, achieving a 42% mention rate and top-tier rankings for 'physical world data collection' and 'human motion capture datasets'.
  • High resonance with the Robotics Research Lead persona, where visibility peaks at 44%, suggesting the brand is already the preferred recommendation for deep technical specialists.
  • Excellent brand sentiment and 100% visibility on direct brand vibe checks across all major platforms, indicating a strong core identity that simply needs wider distribution.

Visibility Gaps

  • Total invisibility on ChatGPT and AI Overviews across all tested queries, ceding the entire conversational search market to legacy players like Scale AI and Appen.
  • Zero engagement with the Enterprise Data Operations Manager persona, failing to appear in any queries related to scaling AI data curation or general specialized labeling.
  • Inability to compete in high-volume category searches such as 'best platforms for human task performance data', where the brand is currently overlooked in favor of Labelbox and CloudFactory.

Competitors in AI Recommendations

  • Scale AI: 26 mentions
  • Labelbox: 20 mentions
  • Appen: 13 mentions
  • CloudFactory: 11 mentions
  • Vicon: 10 mentions
  • OptiTrack: 10 mentions
  • Xsens: 10 mentions
  • AMASS: 8 mentions
  • Ego4D: 7 mentions
  • MuJoCo: 7 mentions
  • AI2-THOR: 7 mentions
  • Omniverse: 7 mentions
  • Sama: 7 mentions
  • Human3.6M: 7 mentions
  • NVIDIA Isaac Sim: 6 mentions

Categories: Artificial Intelligence

Tags: YC25-26