Household
Cooking, cleaning, folding clothes, organizing objects, appliance use and other daily activities.
Egocentric Data Collection for Physical AI
Real people. Real tasks.
Real-world training data.
Sourcebae captures first-person video of people performing real tasks across homes, factories, warehouses, workshops, farms and commercial environments.
Built for robotics, VLA models, embodied AI and world models.
300K+
Trained experts & contributors
800+
New recording hours every week
99.2%
QA pass rate
12+
Real-world environment categories
Robots need to see how
humans actually work
Robots cannot learn every physical task from internet data.
They need real demonstrations of people picking, placing, folding, assembling, repairing, sorting, cooking, cleaning and handling tools.
Sourcebae captures these actions from the
worker's point of view, giving AI models a clear view of:
- Hands
- Objects
- Tools
- Actions
- Environment
Real tasks.
Real environments.
We collect egocentric data across different industries and everyday environments.
Manufacturing
Assembly, inspection, machine operations, packaging, material handling and production tasks.
Warehouses
Picking, placing, packing, sorting, scanning, loading and shelf operations.
Workshops
Mechanical repair, automotive work, equipment servicing and tool-based tasks.
Commercial Spaces
Retail stores, commercial kitchens, laundries, food processing and other workplaces.
Agriculture
Harvesting, sorting, grading, tool use, crop handling and outdoor work.
Construction & Job Sites
Material handling, measuring, drilling, fastening, installation, inspection, site preparation and equipment operation.
Healthcare & Assisted Living
Patient support workflows, medical equipment handling, room preparation, supply organization and assisted-living activities.
Hospitality & Food Service
Table setup, food preparation, kitchen operations, cleaning, room service, housekeeping and guest-service workflows.
Logistics & Transportation
Package handling, vehicle loading, delivery preparation, route-based tasks, cargo organization and transportation workflows.
Laboratories & Research Facilities
Sample handling, equipment operation, inspection, preparation workflows, controlled experiments and laboratory organization.
Offices & Professional Workspaces
Document handling, desk organization, equipment setup, mailroom workflows, supply management and administrative tasks.
Automotive & Mobility
Vehicle inspection, maintenance, repair, part handling, assembly, cleaning and service-center workflows.
Mining & Heavy Industry
Equipment operation, inspection, material handling, maintenance, safety procedures and industrial workflows.
The right people create better training data
Not every task should be recorded by a random participant.
Sourcebae can match contributors based on the skill your model needs to learn.
- Need a mechanic?
We source mechanics. - Need factory workers?
We work with industrial environments. - Need household activities?
We activate our contributor network. - Need specialized professional workflows?
We can source domain experts.
Better demonstrations start with the right humans
More than first-
person video
Your dataset can include the signals your model needs
Video
High-quality first-person task recordings
Audio
Natural task narration and spoken instructions where required
Movement
Hand, body and motion data based on the capture setup
Depth & IMU
Additional sensor signals for projects that require spatial and motion context
Action Labels
Task steps, actions, object interactions, success and failure events
Metadata
Task, environment, contributor, device and recording information
From capture to training-
ready data
One managed workflow from task design and participant sourcing to capture, QA, annotation and structured delivery.
- 01 - SCOPE
Tell us what your model needs to learn. We define the tasks, environments, contributors, devices and quality requirements.
- 02 - SOURCE
We recruit the right people and secure the required environments.
- 03 - PILOT
We run a small collection first so your team can review the data.
- 04 - CAPTURE
Contributors perform real tasks using the approved recording setup.
- 05 - QA & ANNOTATE
Every batch is checked against the agreed quality standards and annotation requirements.
- 06 - DELIVER
Approved data is organized and delivered in your required structure and format.
Built for Physical AI
Our egocentric datasets can support
Vision-Language-Action Models
Connect visual scenes, instructions and physical actions.
Robot Foundation Models
Train models across diverse tasks, objects and environments.
Imitation Learning
Teach robots using real human demonstrations.
Manipulation & Grasping
Learn how humans handle objects, tools and materials.
World Models
Capture how people interact with and change physical environments.
Robotics Evaluation
Test how models perform across new tasks and real-world conditions.
Quality Control for Egocentric Data Collection
Quality starts before recording
Good training data is not just about collecting more hours.
Sourcebae builds quality checks into the complete collection process.
Contributor onboarding- Task-specific instructions
- Sample recording approval
- Camera and environment checks
- Human QA
- Metadata validation
- Recapture when required
The result: Cleaner data and fewer unusable hours.
Each project has a project-specific capture checklist covering camera position, lighting, task completion, hand/object visibility, recording continuity and metadata completeness.
Why Sourcebae?
Skilled Human Network
Access trained contributors and domain experts for both everyday and specialized tasks.
Real-World Access
Collect across homes, factories, warehouses, workshops, commercial spaces and outdoor environments.
Flexible Capture
Configure cameras, sensors, narration and metadata around your model requirements.
End-to-End Execution
Contributor sourcing, onboarding, capture, QA, annotation and delivery managed by one team.
Pilot Before Scale
Validate the data first. Scale production after your team approves the output.
Frequently asked questions
Egocentric data collection records tasks from the first-person point of view of the person performing them. It helps AI models understand hands, objects, tools and actions from a human perspective.
See the data before you scale
Tell us what your robot or Physical AI model needs to learn. We'll help define the people, tasks, environments and capture setup needed to build the dataset.
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