How real-world data programs run at Veda
A repeatable five-stage operating model spanning collection, annotation, quality control, and delivery — engineered for compliance, throughput, and dataset quality at industrial scale.
- 01
Define requirements
Understand the client's dataset, task, quality requirements, and delivery format before any operation begins.
- 02
Collect
Capture high-quality real-world and egocentric data where required, using trained participants and wearable recording systems.
- 03
Annotate
Apply project-specific annotation guidelines using trained in-house teams across image, video, and egocentric datasets.
- 04
Quality control
Multi-stage review and validation — label accuracy, privacy and compliance checks, and dataset quality maintenance.
- 05
Process & deliver
Prepare and securely deliver production-ready datasets in training-ready formats.
Explore our data capabilities
Egocentric data collection in India →
First-person task footage recorded in real homes, kitchens and workplaces.
Data formats and delivery →
How datasets are structured, labelled and handed over to your training stack.
Sample egocentric dataset →
See what a delivered dataset package and quality checklist look like.
Egocentric vs teleoperation data →
Choosing the right demonstration data for robot manipulation.
Insights and guides →
Practical guides on collecting and preparing data for physical AI.
Partner network →
Host sites, collection teams and annotation vendors across India.
Have a Data Collection or Annotation Project?
Whether you need real-world data collected, an existing dataset annotated, or an end-to-end data pipeline, Veda Solutions can build and scale the workflow around your requirements.