Egocentric Video Data
Collection for Physical AI
and World Model Training
Egocentric Video Data
Collection for Physical AI
and World Model Training
Egocentric Video
Data Collection for
Physical AI and
World Model Training
Egocentric Video
Data Collection for
Physical AI and
World Model Training
Physical AI systems — humanoid robots, embodied agents, spatial computing devices — need to understand the world the way humans do. That means training on footage captured from a first-person point of view, in genuine environments, at the scale and scenario variety that lab-based collection cannot produce. Market Xcel runs egocentric video data collection programs globally, covering the full arc from AI training data collection to QA, working to your brief, your consent framework, and your standards.
What sets first-person data apart
The wearable camera goes where the person goes. No fixed angle. No observer framing. Just the world as the participant sees it.
Captures gaze direction and spatial attention naturally
Records hand-object interaction in close, unobstructed detail
Follows participants through real, uncontrolled environments- the raw input world model training data depends on
Executed to your scenario brief — no data retained on our end
Delivered as structured POV video datasets with metadata under your schema
TRUSTED BY
50+
Projects Delivered
1,50,000+
Hours of Footage Collected
50+
Cities in India
20+
Collection Environments
15+
Regional Languages
100%
Client Data Ownership
25+
Years of Industry Experience
50+
Projects Delivered
1,50,000+
Hours of Footage Collected
50+
Cities in India
20+
Collection Environments
15+
Regional Languages
100%
Client Data Ownership
25+
Years of Industry Experience
50+
Projects Delivered
1,50,000+
Hours of Footage Collected
50+
Cities in India
20+
Collection Environments
15+
Regional Languages
100%
Client Data Ownership
25+
Years of Industry Experience
The challenge
Your model is well-trained. Real-world deployment tells a different story.
Your model is well-trained. Real-world deployment tells a different story.
"We need first-person video data at scale — but running large-scale AI data collection programs in-house consumes team bandwidth we can't afford."
Executing egocentric collection at the pace physical AI development demands is operationally intensive. Recruiting participants, deploying devices, supervising fieldwork across locations, and maintaining QA — all of which pull engineering and research teams away from model development. An AI data collection partner takes that operational load entirely, supplying the computer vision training data your models need while freeing your researchers to stay focused on what they're building.
"We need first-person video data at scale — but running large-scale AI data collection programs in-house consumes team bandwidth we can't afford."
Executing egocentric collection at the pace physical AI development demands is operationally intensive. Recruiting participants, deploying devices, supervising fieldwork across locations, and maintaining QA — all of which pull engineering and research teams away from model development. An AI data collection partner takes that operational load entirely, supplying the computer vision training data your models need while freeing your researchers to stay focused on what they're building.
"We need first-person video data at scale — but running large-scale AI data collection programs in-house consumes team bandwidth we can't afford."
Executing egocentric collection at the pace physical AI development demands is operationally intensive. Recruiting participants, deploying devices, supervising fieldwork across locations, and maintaining QA — all of which pull engineering and research teams away from model development. An AI data collection partner takes that operational load entirely, supplying the computer vision training data your models need while freeing your researchers to stay focused on what they're building.
"We need first-person video data at scale — but running large-scale AI data collection programs in-house consumes team bandwidth we can't afford."
Executing egocentric collection at the pace physical AI development demands is operationally intensive. Recruiting participants, deploying devices, supervising fieldwork across locations, and maintaining QA — all of which pull engineering and research teams away from model development. An AI data collection partner takes that operational load entirely, supplying the computer vision training data your models need while freeing your researchers to stay focused on what they're building.
"Our model performs well in the lab. The moment it hits a real environment, it falls apart."
This is a training data problem, not a model problem. Footage captured in controlled or synthetic settings teaches models patterns that don't hold outside the lab — unpredictable lighting, cluttered environments, natural human movement, task variation are all absent from what the model was trained on. Egocentric video collected in real-world environments provides a grounded, first-person perspective that lab footage cannot structurally provide.
"Our model performs well in the lab. The moment it hits a real environment, it falls apart."
This is a training data problem, not a model problem. Footage captured in controlled or synthetic settings teaches models patterns that don't hold outside the lab — unpredictable lighting, cluttered environments, natural human movement, task variation are all absent from what the model was trained on. Egocentric video collected in real-world environments provides a grounded, first-person perspective that lab footage cannot structurally provide.
"Our model performs well in the lab. The moment it hits a real environment, it falls apart."
This is a training data problem, not a model problem. Footage captured in controlled or synthetic settings teaches models patterns that don't hold outside the lab — unpredictable lighting, cluttered environments, natural human movement, task variation are all absent from what the model was trained on. Egocentric video collected in real-world environments provides a grounded, first-person perspective that lab footage cannot structurally provide.
"Our model performs well in the lab. The moment it hits a real environment, it falls apart."
This is a training data problem, not a model problem. Footage captured in controlled or synthetic settings teaches models patterns that don't hold outside the lab — unpredictable lighting, cluttered environments, natural human movement, task variation are all absent from what the model was trained on. Egocentric video collected in real-world environments provides a grounded, first-person perspective that lab footage cannot structurally provide.
Add to that the growing compliance and procurement requirements around how training data is sourced, stored, and transferred — consent documentation, PII handling, commercial rights clearance. For many enterprise AI teams, the governance overhead of running a collection program is as significant as the operational one.
This is almost always a journey problem. Marketing fires at the wrong stage, or the brand is absent at the touchpoints that actually tip decisions. According to McKinsey's India research, 70–90% of most brands' marketing budgets are concentrated at the initial-consideration and moment-of-purchase stages — while the active-evaluation stage, where brand decisions actually shift, is chronically under-invested.
This is almost always a journey problem. Marketing fires at the wrong stage, or the brand is absent at the touchpoints that actually tip decisions. According to McKinsey's India research, 70–90% of most brands' marketing budgets are concentrated at the initial-consideration and moment-of-purchase stages — while the active-evaluation stage, where brand decisions actually shift, is chronically under-invested.
Why It Matters
Why Egocentric Video Data
Why Egocentric Video Data
First-person video gives physical AI systems something no other data source does — the world as a human participant actually experiences it. That's the basis of embodied AI training data. Here's what that means for your models.
Human-Perspective Training Signal
Camera position is everything for embodied AI. Human-perspective AI training gives models spatial context, hand proximity, and the POV that third-person footage can't.
Human-Perspective Training Signal
Camera position is everything for embodied AI. Human-perspective AI training gives models spatial context, hand proximity, and the POV that third-person footage can't.
Human-Perspective Training Signal
Camera position is everything for embodied AI. Human-perspective AI training gives models spatial context, hand proximity, and the POV that third-person footage can't.
Human-Perspective Training Signal
Camera position is everything for embodied AI. Human-perspective AI training gives models spatial context, hand proximity, and the POV that third-person footage can't.
Hand & Object Interaction Detail
The way hands grasp and place objects is what robots most need to learn. Hand-object interaction data captures it precisely — in the moment, from the right viewpoint.
Hand & Object Interaction Detail
The way hands grasp and place objects is what robots most need to learn. Hand-object interaction data captures it precisely — in the moment, from the right viewpoint.
Hand & Object Interaction Detail
The way hands grasp and place objects is what robots most need to learn. Hand-object interaction data captures it precisely — in the moment, from the right viewpoint.
Hand & Object Interaction Detail
The way hands grasp and place objects is what robots most need to learn. Hand-object interaction data captures it precisely — in the moment, from the right viewpoint.
Real-World Variability
Diverse lighting, spaces, and people — that's what stops a model from failing in deployment. Real-world AI datasets with built-in dataset diversity are what we deliver.
Real-World Variability
Diverse lighting, spaces, and people — that's what stops a model from failing in deployment. Real-world AI datasets with built-in dataset diversity are what we deliver.
Real-World Variability
Diverse lighting, spaces, and people — that's what stops a model from failing in deployment. Real-world AI datasets with built-in dataset diversity are what we deliver.
Real-World Variability
Diverse lighting, spaces, and people — that's what stops a model from failing in deployment. Real-world AI datasets with built-in dataset diversity are what we deliver.
Temporal Context
Tasks unfold in sequences, not frames. Temporal video datasets capture that arc — critical for activity recognition datasets and systems that anticipate what's next.
Temporal Context
Tasks unfold in sequences, not frames. Temporal video datasets capture that arc — critical for activity recognition datasets and systems that anticipate what's next.
Temporal Context
Tasks unfold in sequences, not frames. Temporal video datasets capture that arc — critical for activity recognition datasets and systems that anticipate what's next.
Temporal Context
Tasks unfold in sequences, not frames. Temporal video datasets capture that arc — critical for activity recognition datasets and systems that anticipate what's next.
Natural Behaviour, Unscripted
No scripts, no staging, no labs. Just natural behavior data captured in a real context — the unscripted AI training data that makes models hold where they get deployed.
Natural Behaviour, Unscripted
No scripts, no staging, no labs. Just natural behavior data captured in a real context — the unscripted AI training data that makes models hold where they get deployed.
Natural Behaviour, Unscripted
No scripts, no staging, no labs. Just natural behavior data captured in a real context — the unscripted AI training data that makes models hold where they get deployed.
Natural Behaviour, Unscripted
No scripts, no staging, no labs. Just natural behavior data captured in a real context — the unscripted AI training data that makes models hold where they get deployed.
Ethically Sourced, Commercially Cleared
Consent, scope, and rights — confirmed before capture starts. Ethical AI data collection under AI data governance standards, delivered as fully compliant AI datasets.
Ethically Sourced, Commercially Cleared
Consent, scope, and rights — confirmed before capture starts. Ethical AI data collection under AI data governance standards, delivered as fully compliant AI datasets.
Ethically Sourced, Commercially Cleared
Consent, scope, and rights — confirmed before capture starts. Ethical AI data collection under AI data governance standards, delivered as fully compliant AI datasets.
Ethically Sourced, Commercially Cleared
Consent, scope, and rights — confirmed before capture starts. Ethical AI data collection under AI data governance standards, delivered as fully compliant AI datasets.
CAPABILITIES
What We Collect
What We Collect
From scenario design to structured handoff, we manage the full egocentric video dataset collection service — across indoor, outdoor, commercial, and residential environments worldwide- producing computer vision datasets ready for multimodal data pipelines.
Scenario, Task & Environment Design
We work from your brief to define the activities, interaction sequences, and environment conditions the video dataset collection service needs to cover — laying the groundwork for task-specific datasets and scenario-based AI datasets before deployment.
Scenario, Task & Environment Design
We work from your brief to define the activities, interaction sequences, and environment conditions the video dataset collection service needs to cover — laying the groundwork for task-specific datasets and scenario-based AI datasets before deployment.
Scenario, Task & Environment Design
We work from your brief to define the activities, interaction sequences, and environment conditions the video dataset collection service needs to cover — laying the groundwork for task-specific datasets and scenario-based AI datasets before deployment.
Participant Recruitment & Screening
Sourced and screened against your demographic and geographic criteria — covering age, gender, background, and location spread that robust AI participant recruitment requires, through global participant recruitment built for dataset participant sourcing.
Participant Recruitment & Screening
Sourced and screened against your demographic and geographic criteria — covering age, gender, background, and location spread that robust AI participant recruitment requires, through global participant recruitment built for dataset participant sourcing.
Participant Recruitment & Screening
Sourced and screened against your demographic and geographic criteria — covering age, gender, background, and location spread that robust AI participant recruitment requires, through global participant recruitment built for dataset participant sourcing.
Device Deployment & Field Supervision
Wearable cameras deployed across indoor datasets, outdoor datasets, commercial, and residential settings — generating computer vision datasets and multimodal data, with field supervisors managing onboarding, device setup, and real-time QA throughout.
Device Deployment & Field Supervision
Wearable cameras deployed across indoor datasets, outdoor datasets, commercial, and residential settings — generating computer vision datasets and multimodal data, with field supervisors managing onboarding, device setup, and real-time QA throughout.
Device Deployment & Field Supervision
Wearable cameras deployed across indoor datasets, outdoor datasets, commercial, and residential settings — generating computer vision datasets and multimodal data, with field supervisors managing onboarding, device setup, and real-time QA throughout.
Quality Review & QA
Every footage set reviewed against your frame quality, stability, and task-completeness criteria before it moves to delivery — ensuring every AI video data collection output meets your exact standards and passes your computer vision dataset requirements.
Quality Review & QA
Every footage set reviewed against your frame quality, stability, and task-completeness criteria before it moves to delivery — ensuring every AI video data collection output meets your exact standards and passes your computer vision dataset requirements.
Quality Review & QA
Every footage set reviewed against your frame quality, stability, and task-completeness criteria before it moves to delivery — ensuring every AI video data collection output meets your exact standards and passes your computer vision dataset requirements.
Metadata-Tagged Delivery
Every footage set handed off with structured AI metadata — session, participant, environment, and task/scenario tags — delivered as fully annotated datasets with AI data formatting applied to your schema. No data is retained on our end after delivery.
Metadata-Tagged Delivery
Every footage set handed off with structured AI metadata — session, participant, environment, and task/scenario tags — delivered as fully annotated datasets with AI data formatting applied to your schema. No data is retained on our end after delivery.
Metadata-Tagged Delivery
Every footage set handed off with structured AI metadata — session, participant, environment, and task/scenario tags — delivered as fully annotated datasets with AI data formatting applied to your schema. No data is retained on our end after delivery.
SECURITY & GOVERNANCE
Your data is protected at every stage.
Your data is protected at every stage.
High-fidelity capture means high-fidelity responsibility. We treat both equally. That means a secure AI data collection framework that covers every stage — what gets recorded, what gets filtered, how it moves, and what happens to it after delivery, backed by enterprise AI compliance standards.
PII Filtration
Every footage set reviewed for faces, license plates, sensitive documents, and incidental PII through our PII removal services before delivery. Protocols are scoped to your enterprise AI compliance requirements and applicable data protection regulations.
PII Filtration
Every footage set reviewed for faces, license plates, sensitive documents, and incidental PII through our PII removal services before delivery. Protocols are scoped to your enterprise AI compliance requirements and applicable data protection regulations.
PII Filtration
Every footage set reviewed for faces, license plates, sensitive documents, and incidental PII through our PII removal services before delivery. Protocols are scoped to your enterprise AI compliance requirements and applicable data protection regulations.
Zero Data Retention
No footage or participant data retained after delivery. Everything transfers via encrypted dataset delivery channels and purged from our systems — a zero retention data policy built on enterprise data ownership and enterprise data transfer standards.
Zero Data Retention
No footage or participant data retained after delivery. Everything transfers via encrypted dataset delivery channels and purged from our systems — a zero retention data policy built on enterprise data ownership and enterprise data transfer standards.
Zero Data Retention
No footage or participant data retained after delivery. Everything transfers via encrypted dataset delivery channels and purged from our systems — a zero retention data policy built on enterprise data ownership and enterprise data transfer standards.
Consent, Rights & Compliance
Every participant provides documented informed consent management covering scope and rights — part of our ethical participant recruitment process. Footage cleared for commercial dataset licensing, with AI compliance documentation as a full audit trail.
Consent, Rights & Compliance
Every participant provides documented informed consent management covering scope and rights — part of our ethical participant recruitment process. Footage cleared for commercial dataset licensing, with AI compliance documentation as a full audit trail.
Consent, Rights & Compliance
Every participant provides documented informed consent management covering scope and rights — part of our ethical participant recruitment process. Footage cleared for commercial dataset licensing, with AI compliance documentation as a full audit trail.
Running a collection program? Let's scope the India leg.
Share your scenario brief, QA standards, and target environments — we'll come back with an egocentric video data collection plan.
Running a collection program? Let's scope the India leg.
Share your scenario brief, QA standards, and target environments — we'll come back with an egocentric video data collection plan.
Use Cases
Where Egocentric Video Delivers
Where Egocentric Video Delivers
Egocentric capture applies across the full range of physical AI development needs — from benchmark task categories to environment-specific training sets, spanning robotics training datasets and world model datasets.
Physical AI
Humanoid Robotics & Dexterous Manipulation
Wearable-captured footage of hands grasping, manipulating objects, and completing physical tasks — the core training signal for humanoid robot datasets learning to function in human environments.
Physical AI
Humanoid Robotics & Dexterous Manipulation
Wearable-captured footage of hands grasping, manipulating objects, and completing physical tasks — the core training signal for humanoid robot datasets learning to function in human environments.
Physical AI
Humanoid Robotics & Dexterous Manipulation
Wearable-captured footage of hands grasping, manipulating objects, and completing physical tasks — the core training signal for humanoid robot datasets learning to function in human environments.
Physical AI
Humanoid Robotics & Dexterous Manipulation
Wearable-captured footage of hands grasping, manipulating objects, and completing physical tasks — the core training signal for humanoid robot datasets learning to function in human environments.
Physical AI
Embodied AI & World Model Training
Large-scale egocentric footage spanning environments, tasks, and participant profiles — the world model training data embodied AI world models need to develop genuine, generalisable environmental understanding.
Physical AI
Embodied AI & World Model Training
Large-scale egocentric footage spanning environments, tasks, and participant profiles — the world model training data embodied AI world models need to develop genuine, generalisable environmental understanding.
Physical AI
Embodied AI & World Model Training
Large-scale egocentric footage spanning environments, tasks, and participant profiles — the world model training data embodied AI world models need to develop genuine, generalisable environmental understanding.
Physical AI
Embodied AI & World Model Training
Large-scale egocentric footage spanning environments, tasks, and participant profiles — the world model training data embodied AI world models need to develop genuine, generalisable environmental understanding.
Spatial Computing
AR/VR & Spatial Computing
POV footage for models that need to understand how people perceive, move through, and interact with physical and augmented environments — gaze, depth, and hand positioning captured from the wearer's own viewpoint, forming AR training datasets and spatial computing datasets.
Spatial Computing
AR/VR & Spatial Computing
POV footage for models that need to understand how people perceive, move through, and interact with physical and augmented environments — gaze, depth, and hand positioning captured from the wearer's own viewpoint, forming AR training datasets and spatial computing datasets.
Spatial Computing
AR/VR & Spatial Computing
POV footage for models that need to understand how people perceive, move through, and interact with physical and augmented environments — gaze, depth, and hand positioning captured from the wearer's own viewpoint, forming AR training datasets and spatial computing datasets.
Spatial Computing
AR/VR & Spatial Computing
POV footage for models that need to understand how people perceive, move through, and interact with physical and augmented environments — gaze, depth, and hand positioning captured from the wearer's own viewpoint, forming AR training datasets and spatial computing datasets.
Physical AI
Kitchen & Household Activity Recognition
Cooking, cleaning, organising, and other domestic task sequences — a standard benchmark category for physical AI and robotics, captured as household activity datasets across real homes worldwide.
Physical AI
Kitchen & Household Activity Recognition
Cooking, cleaning, organising, and other domestic task sequences — a standard benchmark category for physical AI and robotics, captured as household activity datasets across real homes worldwide.
Physical AI
Kitchen & Household Activity Recognition
Cooking, cleaning, organising, and other domestic task sequences — a standard benchmark category for physical AI and robotics, captured as household activity datasets across real homes worldwide.
Physical AI
Kitchen & Household Activity Recognition
Cooking, cleaning, organising, and other domestic task sequences — a standard benchmark category for physical AI and robotics, captured as household activity datasets across real homes worldwide.
Physical AI
Navigation & Mobility
How people move through complex indoor and outdoor environments — wayfinding decisions, obstacle negotiation, spatial orientation — useful for autonomous navigation data and mobility AI datasets development.
Physical AI
Navigation & Mobility
How people move through complex indoor and outdoor environments — wayfinding decisions, obstacle negotiation, spatial orientation — useful for autonomous navigation data and mobility AI datasets development.
Physical AI
Navigation & Mobility
How people move through complex indoor and outdoor environments — wayfinding decisions, obstacle negotiation, spatial orientation — useful for autonomous navigation data and mobility AI datasets development.
Physical AI
Navigation & Mobility
How people move through complex indoor and outdoor environments — wayfinding decisions, obstacle negotiation, spatial orientation — useful for autonomous navigation data and mobility AI datasets development.
Industrial AI
Workplace & Industrial Operations
Task execution, tool use, and workflow sequences in warehouse, manufacturing, and field settings — building industrial AI datasets and warehouse robotics datasets for AI systems deployed in operational environments.
Industrial AI
Workplace & Industrial Operations
Task execution, tool use, and workflow sequences in warehouse, manufacturing, and field settings — building industrial AI datasets and warehouse robotics datasets for AI systems deployed in operational environments.
Industrial AI
Workplace & Industrial Operations
Task execution, tool use, and workflow sequences in warehouse, manufacturing, and field settings — building industrial AI datasets and warehouse robotics datasets for AI systems deployed in operational environments.
Industrial AI
Workplace & Industrial Operations
Task execution, tool use, and workflow sequences in warehouse, manufacturing, and field settings — building industrial AI datasets and warehouse robotics datasets for AI systems deployed in operational environments.
Research
In-Home & Usability Research
Recording how people use products, appliances, and devices in their own homes — free of observer effect and lab-setting distortion, generating in-home video research and in-home usage studies relevant to UX and consumer insight teams, as well as AI applications.
Research
In-Home & Usability Research
Recording how people use products, appliances, and devices in their own homes — free of observer effect and lab-setting distortion, generating in-home video research and in-home usage studies relevant to UX and consumer insight teams, as well as AI applications.
Research
In-Home & Usability Research
Recording how people use products, appliances, and devices in their own homes — free of observer effect and lab-setting distortion, generating in-home video research and in-home usage studies relevant to UX and consumer insight teams, as well as AI applications.
Research
In-Home & Usability Research
Recording how people use products, appliances, and devices in their own homes — free of observer effect and lab-setting distortion, generating in-home video research and in-home usage studies relevant to UX and consumer insight teams, as well as AI applications.
Physical AI
Commercial Environments
Egocentric collection across offices, retail floors, hospitality venues, and other commercial settings — capturing task execution and human-environment interaction as retail video datasets and commercial environment datasets in the built commercial world.
Physical AI
Commercial Environments
Egocentric collection across offices, retail floors, hospitality venues, and other commercial settings — capturing task execution and human-environment interaction as retail video datasets and commercial environment datasets in the built commercial world.
Physical AI
Commercial Environments
Egocentric collection across offices, retail floors, hospitality venues, and other commercial settings — capturing task execution and human-environment interaction as retail video datasets and commercial environment datasets in the built commercial world.
Physical AI
Commercial Environments
Egocentric collection across offices, retail floors, hospitality venues, and other commercial settings — capturing task execution and human-environment interaction as retail video datasets and commercial environment datasets in the built commercial world.
Physical AI
Residential Environments
Egocentric video collected across residential settings — living rooms, bedrooms, garages, home offices — going beyond individual task categories to cover residential video datasets across the full range of domestic human activity.
Physical AI
Residential Environments
Egocentric video collected across residential settings — living rooms, bedrooms, garages, home offices — going beyond individual task categories to cover residential video datasets across the full range of domestic human activity.
Physical AI
Residential Environments
Egocentric video collected across residential settings — living rooms, bedrooms, garages, home offices — going beyond individual task categories to cover residential video datasets across the full range of domestic human activity.
Physical AI
Residential Environments
Egocentric video collected across residential settings — living rooms, bedrooms, garages, home offices — going beyond individual task categories to cover residential video datasets across the full range of domestic human activity.
TESTIMONIALS
Notes from our clients
"Had a great experience working with the team. They really pushed the boundaries to meet the deadlines that were committed & provide customized data downloads when needed."
FI MONEY
"We had a great and seamless experience. Everything was quite on time and the key POC was very helpful and prompt. The quality was great — the team came forward and helped us at every step."
MAMA EARTH
"The quality of consumers recruited are always fabulous, please continue maintaining the same. Thanks for prompt response at all times — really appreciate the quick response and quality of work."
PIRAMAL HEALTHCARE
TESTIMONIALS
Notes from our clients
"Had a great experience working with the team. They really pushed the boundaries to meet the deadlines that were committed & provide customized data downloads when needed."
FI MONEY
"We had a great and seamless experience. Everything was quite on time and the key POC was very helpful and prompt. The quality was great — the team came forward and helped us at every step."
MAMA EARTH
"The quality of consumers recruited are always fabulous, please continue maintaining the same. Thanks for prompt response at all times — really appreciate the quick response and quality of work."
PIRAMAL HEALTHCARE
TESTIMONIALS
Notes from our clients
"Had a great experience working with the team. They really pushed the boundaries to meet the deadlines that were committed & provide customized data downloads when needed."
FI MONEY
"We had a great and seamless experience. Everything was quite on time and the key POC was very helpful and prompt. The quality was great — the team came forward and helped us at every step."
MAMA EARTH
"The quality of consumers recruited are always fabulous, please continue maintaining the same. Thanks for prompt response at all times — really appreciate the quick response and quality of work."
PIRAMAL HEALTHCARE
TESTIMONIALS
Notes from our clients
"Had a great experience working with the team. They really pushed the boundaries to meet the deadlines that were committed & provide customized data downloads when needed."
FI MONEY
"We had a great and seamless experience. Everything was quite on time and the key POC was very helpful and prompt. The quality was great — the team came forward and helped us at every step."
MAMA EARTH
"The quality of consumers recruited are always fabulous, please continue maintaining the same. Thanks for prompt response at all times — really appreciate the quick response and quality of work."
PIRAMAL HEALTHCARE
SUCCESS STORIES
Read how we made an impact
SUCCESS STORIES
Read how we made an impact
SUCCESS STORIES
Read how we made an impact
SUCCESS STORIES
Read how we made an impact
Frequently asked questions
What is egocentric video data collection?
How is egocentric video different from standard video datasets?
What is egocentric video data used for in AI and robotics?
Who owns the data after it's collected — the client or the vendor?
How is participant privacy and consent handled in egocentric data collection?
Can egocentric video data be collected globally, and in what environments?
What is egocentric video data collection?
How is egocentric video different from standard video datasets?
What is egocentric video data used for in AI and robotics?
Who owns the data after it's collected — the client or the vendor?
How is participant privacy and consent handled in egocentric data collection?
Can egocentric video data be collected globally, and in what environments?
First-Person Data, Executed to Your Standard
Building a world model or training a humanoid robot? Market Xcel is an egocentric video data collection company and first-person dataset provider that delivers the footage you need — at your quality, scale, and spec. You own everything.
First-Person Data, Executed to Your Standard
Building a world model or training a humanoid robot? Market Xcel is an egocentric video data collection company and first-person dataset provider that delivers the footage you need — at your quality, scale, and spec. You own everything.
INSIGHTS SQUARE
OFFERINGS
USA
Market Xcel Data Matrix Inc
5741 Cleveland street, Suite 120, VA beach,
VA 23462
SINGAPORE
Market Xcel Data Matrix Pte. Ltd.
190 Middle Road, # 14-10 Fortune Centre, Singapore - 188979
NEW DELHI
Market Xcel Data Matrix Pvt. Ltd
1st Floor, A-23, JDKD Corporate, Mohan Cooperative Industrial Estate, Mathura Road, New Delhi - 110044
Market Xcel Data Matrix © 2026 (v1.1.3)
INSIGHTS SQUARE
OFFERINGS
USA
Market Xcel Data Matrix Inc
5741 Cleveland street, Suite 120, VA beach,
VA 23462
SINGAPORE
Market Xcel Data Matrix Pte. Ltd.
190 Middle Road, # 14-10 Fortune Centre, Singapore - 188979
NEW DELHI
Market Xcel Data Matrix Pvt. Ltd
1st Floor, A-23, JDKD Corporate, Mohan Cooperative Industrial Estate, Mathura Road, New Delhi - 110044
Market Xcel Data Matrix © 2026 (v1.1.3)
INSIGHTS SQUARE
OFFERINGS
USA
Market Xcel Data Matrix Inc
5741 Cleveland street, Suite 120, VA beach,
VA 23462
SINGAPORE
Market Xcel Data Matrix Pte. Ltd.
190 Middle Road, # 14-10 Fortune Centre, Singapore - 188979
NEW DELHI
Market Xcel Data Matrix Pvt. Ltd
1st Floor, A-23, JDKD Corporate, Mohan Cooperative Industrial Estate, Mathura Road, New Delhi - 110044
Market Xcel Data Matrix © 2026 (v1.1.3)
INSIGHTS SQUARE
OFFERINGS
USA
Market Xcel Data Matrix Inc
5741 Cleveland street, Suite 120, VA beach,
VA 23462
SINGAPORE
Market Xcel Data Matrix Pte. Ltd.
190 Middle Road, # 14-10 Fortune Centre, Singapore - 188979
NEW DELHI
Market Xcel Data Matrix Pvt. Ltd
1st Floor, A-23, JDKD Corporate, Mohan Cooperative Industrial Estate, Mathura Road, New Delhi - 110044
Market Xcel Data Matrix © 2026 (v1.1.3)