First-person data for embodied AI

Egocentric video data collection for robotics & embodied AI.

Real people, real work, recorded first-person — head-mounted capture of everyday tasks in kitchens, workshops, warehouses, farms and stores across India. Consent-backed, metadata-rich and QA'd end to end by an ISO 9001:2017 team.

First-person captureHand-objectTask stepsGazePOV workerKitchens · Warehouses · Workshops
Watch the intro

Meet Graveiens AI

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

Pan-India
Collection network — metros to tier-3
10+
Real work environments covered
25+
Languages for task narration & metadata
100%
Files traceable to signed 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
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.

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
Compare

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.

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