Egocentric Data for Robotics & Physical AI

Real-world egocentric data—
captured at scale.

Train robots and physical AI with first-person video from real Indian homes, factories, and construction sites—collected through verified partner networks and delivered with clean metadata, provenance, and privacy controls.

Consent-first collection Participant compensation Privacy redaction Clear licensing
Humanoids Mobile Manipulation Industrial Automation VLA Agents

A data network built for
scale in the real world

Homes & everyday life

We've partnered with home service professionals across India—cooks, cleaners, and household help—so we can capture a broad range of day-to-day tasks across thousands of unique home layouts.

Homes and everyday life data collection

Factories & industrial sites

We also partner with factories, warehouses, and construction operators to capture industrial workflows—where robots need to perform reliably in complex, changing environments.

Factories and industrial sites data collection

From collection to training-ready—
without the chaos

01

Define your spec

Tasks, environments, devices, privacy rules, annotation requirements.

02

We collect through partner networks

Verified participants and partner sites using standardized capture protocols.

03

Redaction + quality control

PII handling, blur policies, dataset QA, sampling checks, and audit trails.

04

Curate + deliver

Clean manifests, dataset cards, licensing, and optional annotation layers.

Egocentric datasets
designed for training

Choose from off-the-shelf datasets or request custom collection.

Data Modalities

  • Egocentric RGB video (head-mounted / chest-mounted options)
  • Time-synced metadata (timestamps, session/task IDs, environment tags)
  • Optional: audio on/off, language tags, IMU/device motion, depth

Annotation Options

  • Task labels + step segmentation (coarse → fine)
  • Object tags and interactions (pick / place / pour / open / close, etc.)
  • Safety and constraint tags (hot surfaces, sharp tools, heavy loads, PPE)
  • Custom taxonomies aligned to your model or benchmark

Delivery Formats

  • Cloud bucket delivery / encrypted transfer
  • Structured manifests + dataset cards (provenance, collection protocol, licensing)

Data you can trust—at scale

Collection Protocols

  • Standardized device setups and capture guidelines
  • Task checklists to reduce ambiguity
  • Session-level metadata for filtering and evaluation

Quality Pipeline

  • Automated checks (corrupt frames, low light, excessive motion, audio flags)
  • Human review for task validity and privacy adherence
  • Versioning so your training runs are reproducible

Provenance

  • Clear chain-of-custody for every clip
  • Who / where / when / how it was captured
  • Full traceability within privacy constraints

Consent-first,
privacy-by-design

Egocentric data is sensitive. Our collection is built around:

Explicit participant consent and opt-in protocols

Participant compensation aligned to fair work practices

Privacy controls: configurable face/ID blurring, screen masking, and PII redaction

Restricted capture policies (e.g., no minors, no sensitive areas, customer-defined exclusions)

Secure storage and access controls with audit logging

If you have specific compliance requirements, we'll align collection and delivery to your policies.

What teams use
EgoData for

Pretraining vision-language-action models and robot foundation models

Improving generalization across homes and sites

Learning task structure: steps, affordances, failure modes

Simulation seeding and scenario generation

Benchmarking robustness (lighting, clutter, tool variation, occlusion)

Flexible options for
every stage

Starter

Sample pack + dataset overview

Perfect for evaluating data quality and fit before committing.

Enterprise

Custom collection + custom privacy rules + SLA + dedicated QA

Full control over collection spec, annotation, delivery, and compliance.

Frequently asked
questions

We use consent-first collection, configurable redaction, and strict capture protocols. Privacy rules can be tailored per customer and per dataset.

Yes—define the tasks, regions, and device setup, and we'll collect to your spec.

Optional. Many customers choose video-only. If audio is enabled, it's governed by explicit consent and privacy rules.

Yes—ranging from lightweight labels to step segmentation and object interaction tags.

We provide clear dataset licensing and provenance documentation suitable for internal model training and evaluation.

Build better robots with
real-world egocentric data.

Get a sample pack or tell us your spec—we'll recommend the fastest path to training-ready data.