First-person data for embodied AI

Egocentric video data collection for robotics & embodied AI.

Real people, real work, recorded first-person — 150,000+ consent-backed egocentric videos already captured across India's kitchens, workshops, warehouses, farms and stores. Metadata-rich and QA'd end to end by an ISO 9001:2017 team.

First-person captureHand-objectTask stepsGazePOV workerKitchens · Warehouses · Workshops
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Meet Graveiens AI

A quick look at how Graveiens AI partners with teams to deliver human data for AI models.

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50K+
Industrial videos — factories, workshops, warehouses, farms
100K+
Household videos — kitchens, cleaning, laundry, daily living
500+
Industries & businesses in our collection network
25+
Languages for task narration & metadata
100%
Files traceable to signed, explicit AI-training consent
What we collect

First-person data from the environments robots need to learn

Head-mounted capture of routine, hands-on work — the messy, real-world manipulation data that scripted studio footage can't provide.

Kitchens & food service

Restaurants, bakeries, home cooking.

  • Food prep, cooking, plating & cleanup
  • Tool use: knives, pans, appliances
  • Multi-step task sequences with natural errors & corrections

Retail & commerce

Stores, counters, stockrooms.

  • Shelf stocking, scanning, billing, packing
  • Customer-facing task flows
  • Object handling at SKU variety

Workshops & repair

Mechanical, electrical, tailoring.

  • Fine manipulation & tool changes
  • Diagnose-and-fix sequences
  • Two-handed coordination tasks

Warehouses & logistics

Picking, packing, loading.

  • Pallet, parcel & bin interactions
  • Navigation while carrying
  • Repetitive task variation at volume

Manufacturing & assembly

Small units to production lines.

  • Assembly steps & quality checks
  • Machine operation & safety behaviours
  • Human-machine handoffs

Agriculture & outdoor work

Farms, nurseries, markets.

  • Harvesting, sorting, grading
  • Outdoor lighting & terrain variety
  • Seasonal and regional task diversity
The right device for the job

Seven device families, matched to what your model needs to learn

Not every task needs the same camera. We run a tiered device fleet — from simple head-mounted phones to depth-sensing rigs, tactile data-capture gloves and AI smart glasses — and match the device to your spec instead of defaulting to one camera for everything. Modalities span plain RGB, depth (RGB-D), rough hand pose, and tactile / contact-rich signal.

Head-mounted smartphone rigs

Calibrated phone cameras on a head strap — our highest-volume, most cost-effective capture method for plain RGB footage.

  • Wide-angle lens, 1080p–4K at 30–60fps
  • Used for the bulk of household and occupational RGB programs
  • Calibration file logged per device, per session

Action cameras

Rugged, stabilized cameras (GoPro-class and equivalent) for reliability-critical or premium programs.

  • Strong low-light performance and image stabilization
  • Preferred where footage quality directly affects client review
  • Hands-free clip-on variants for true point-of-view capture

Stereo & depth cameras

Dual-lens or depth-sensing rigs for programs that need real 3D scene understanding.

  • Captures binocular depth or synchronized RGB-D + IMU
  • Used for 3D scene reconstruction and spatial reasoning
  • Deployed selectively — reserved for clients who need depth

VR / mixed-reality headsets

Consumer headset capture with built-in approximate hand tracking.

  • Rough hand pose without dedicated pose annotation
  • Passthrough capture for natural task performance

AI smart glasses

A newer, genuinely hands-free glasses form factor — offered on request for pilot programs.

  • No head-mount bracket needed; all-day battery on select models
  • Available for pilot batches; scaling based on client demand

Tactile / data-capture gloves

Sensor gloves that capture what a camera can't — contact events, grip force and finger pose while hands manipulate objects.

  • Force + finger-pose capture for contact-rich manipulation
  • Pairs with head-mounted video for aligned vision + touch data
  • Used for grasping, in-hand manipulation and dexterity programs

Custom & open-hardware rigs

Purpose-built rigs assembled to a client's exact camera and sensor spec.

  • Matches a target robot's own onboard camera field of view
  • Built with component and fabrication specialists
  • Used when embodiment-matching is part of the brief
How collection works

A managed pipeline from recruitment to model-ready files

Recruit & consent

We source small businesses and workers through our pan-India coordinator network. Every participant signs explicit AI-training consent; every site follows bystander protocols (signage, staff consent, exclusion zones).

Equip & train

Head-mounted smartphone rigs and your capture app (or ours), with in-language onboarding and recording-protocol training for every participant.

Capture in real work

Participants record their normal tasks in their normal environment — natural pace, natural errors, natural variety. Coordinators supervise quality on-site and remotely.

Tag & QA

Task labels, timestamps, environment and demographic metadata on every file; four-stage QA against your acceptance criteria before anything reaches you.

Deliver & approve

Files delivered to your spec (resolution, fps, format, narration). You're invoiced only for accepted hours.

Why Graveiens AI

Built for the hard parts of egocentric collection

Compliance-first delivery and a pay-on-approval model that de-risks every engagement.

Consent & bystander privacy

Explicit participant consent plus on-site bystander protocols — the compliance layer most vendors skip, and the one your legal team will ask about first.

Real environments, real diversity

Tier-2/3 India gives task, environment and demographic variety that studio or crowd capture can't match.

Device & field logistics handled

Kit distribution, tracking, replacement and retrieval through our coordinator network.

Pay for accepted hours only

Acceptance criteria agreed upfront; rejected footage is our cost, not yours.

First-person data for AI

Egocentric video collection services built for robot learning

Egocentric video data — footage captured from the worker's own point of view with a head-mounted camera — has become the backbone of robot imitation learning, vision-language-action (VLA) models and embodied AI research. Unlike third-person or studio footage, first-person video captures hand-object interaction, gaze-aligned task context and the natural sequencing of real work: exactly the signal manipulation and task-planning models need.

Graveiens AI runs managed egocentric collection programs across India's real work environments — kitchens, workshops, warehouses, farms, salons and stores. Participants are recruited, consented and trained through our coordinator network; capture follows your protocol on head-mounted smartphone rigs; and every hour of footage is metadata-tagged and QA-reviewed against your acceptance criteria before delivery. The result is diverse, compliant, model-ready first-person data — at Indian delivery economics. For a deeper primer on the format, read our guide to what is egocentric video.

See our full data collection services
Applications

Where egocentric data goes

Robot imitation learning VLA / foundation models Manipulation & grasping Task & activity recognition AR work assistants Procedure understanding Skill assessment Household & ADL robotics Tactile & contact-rich data Dexterous & in-hand manipulation
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How Graveiens AI compares for egocentric video collection

Quick answer: Graveiens AI is an ISO 9001:2017-certified data collection company that runs managed, consent-backed egocentric (first-person) video collection across real Indian work environments — recruiting and training participants, handling device logistics and bystander privacy, and delivering metadata-tagged, QA-reviewed footage billed only on accepted hours.

Graveiens AI vs. crowd/app-only capture vs. in-house collection

What mattersGraveiens AICrowd/app-onlyIn-house team
Environment accessReal businesses via coordinator networkWhoever installs the appLimited sites
Consent & bystander privacyDocumented consent + on-site protocols, audit trailOften self-attestedDepends on policy
Capture consistencyTrained participants, supervised protocolHighly variableGood but slow
Device logisticsManaged kit distribution & retrievalParticipant's own deviceYour overhead
DiversityPan-India: tasks, settings, demographicsSkews urban/tech-savvyNarrow
Pricing riskAccepted hours onlyPaid per uploadFixed cost
Representative program

What an egocentric program looks like

A typical first-person collection program runs end to end through our managed pipeline:

  1. You share a capture spec — task types, target environments, hours, resolution/fps, narration language and metadata schema.
  2. We scope a pilot batch and agree acceptance criteria and per-file metadata upfront.
  3. Our coordinators recruit and consent participating businesses and workers across the target cities and categories.
  4. Participants are equipped with head-mounted smartphone rigs, trained on your protocol, and supervised while they record real work.
  5. Every file is task-labelled, timestamped and metadata-tagged, then run through our four-stage QA against your acceptance criteria.
  6. Accepted hours are delivered to your spec — and those are the only hours you are invoiced for.

Start with a low-risk pilot

Send us your capture spec — task types, environments, hours. We'll scope a pilot batch, deliver through our QA workflow, and you pay only for the hours you accept.

Book a pilot
FAQ

Questions, answered

What is egocentric video data collection?
Egocentric video data collection is the capture of first-person (point-of-view) footage using head-mounted cameras while people perform real tasks. It's used to train robotics, imitation-learning, VLA and activity-recognition models, because it records hand-object interaction and task context the way an embodied agent would see it.
How do you collect egocentric video?
Through a managed pipeline: we recruit businesses and workers across India, obtain explicit AI-training consent, equip participants with head-mounted smartphone rigs and your capture app, train them on your protocol, supervise capture, then metadata-tag and QA every file before delivery.
Which environments and tasks can you cover?
Kitchens and food service, retail, workshops and repair, warehouses and logistics, manufacturing, agriculture, personal services and household tasks — routine hands-on work across metros and tier-2/3 India.
How do you handle consent and bystander privacy?
Every participant signs explicit consent covering AI-training use, with a per-file audit trail. Collection sites follow bystander protocols — signage, staff consent and exclusion zones — so footage is compliant, not just plentiful.
What specs and formats do you deliver?
Capture follows your spec: resolution, frame rate, duration, narration language and metadata schema. Files are delivered with task labels, timestamps and environment/demographic metadata, reviewed against your acceptance criteria.
How does pricing work?
Per accepted hour of video. Acceptance criteria are agreed upfront; you're invoiced only for hours you approve, so pilot risk stays near zero.
Can you scale a program quickly?
Yes — pilots typically start within weeks of spec + NDA, and production scales through our pan-India coordinator network by category and region in parallel.
Do you also annotate egocentric footage?
Yes — temporal segmentation, action labels, hand/object annotation and narration transcription through our annotation team, so you can take collection and labeling from one accountable partner.
What camera or device do you use for collection?
It depends on your spec. We run seven device families — head-mounted phones, action cameras, stereo/depth rigs, VR headsets, AI smart glasses, tactile data-capture gloves, and custom-built rigs — and match the device to what your model needs, from plain RGB to full 3D depth, hand pose and tactile / contact-rich signal.
Can you match our own robot's camera field of view?
Yes. For programs where embodiment-matching matters, we build or source a custom rig to your exact field-of-view and mounting spec.

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