AI Data Collection & Operations — Ballari, India

Real-World Data
for the Next Generation
of AI

We help AI companies collect reliable, high-quality real-world data at scale — organizing contributors, environments, and operations from requirement to validated, delivered dataset.

REC · 00:14:32
Capture Stream
Egocentric · Activity
Status
Validating
About NAS Labs

The operations layer behind real-world AI data.

NAS Labs is an AI data collection and operations company built to supply the real-world data infrastructure that modern AI systems require. We are not a software development shop — our work is organizing people, places, and equipment to collect data on a client's terms, then quality-checking it until it is genuinely ready to train, evaluate, or improve a model.

We take a data requirement, design the collection operation around it, and stay accountable for the result — from the first contributor briefing to the final delivered file.

01

Real-world data collection

We operate in real environments — not synthetic pipelines — to capture data that reflects how people and situations actually behave.

02

Scalable operations

Contributor networks, recording locations, and collection schedules are structured to grow with the size of a requirement.

03

Human-generated data

Recordings are produced by real contributors performing real activities, giving models grounded, natural signal to learn from.

04

Customized projects

Every engagement is planned around the client’s activities, environments, durations, and specifications — not a fixed template.

05

Quality-controlled datasets

Structured checks run at every stage, so what reaches a client has already been organized, verified, and made ready for use.

06

Flexible collection environments

Indoor, outdoor, industrial, or domestic — recording setups are configured to match the environment a use case calls for.

Our Capabilities

One partner for the full data-collection lifecycle.

From a raw requirement to a validated, delivered dataset — NAS Labs manages every stage of the operation so a client doesn't have to assemble it themselves.

Stage 1

Requirement

We start with the client’s data specification — activities, environment, format, and intended model use.

Stage 2

Planning

The collection operation is scoped: contributor profiles, locations, equipment, timeline, and QA criteria.

Stage 3

Contributor & Environment Setup

Contributors are briefed and recording environments are prepared to match the agreed specification.

Stage 4

Data Collection

Recording operations run on the ground, capturing video and sensor data according to the brief.

Stage 5

Quality Assurance

Every file is checked for validity, duration, resolution, and corruption before it moves forward.

Stage 6

Validation

Reviewed data is validated against the original requirement and organized with the agreed metadata.

Stage 7

Secure Delivery

Finished datasets are packaged and delivered through the format and channel the client specifies.

Data Collection

Real-world video and sensor data, on your specification.

Collection operations are configured around what a client actually needs — the activity, the setting, the duration, the recording quality, and the metadata that has to accompany each file.

Egocentric

First-person recordings

Head-mounted or wearable capture that records activities from the contributor’s own point of view — built for models that need to understand a scene the way a person experiences it.

Activity-Based

Human activity data

Structured recordings of everyday and task-specific actions, repeated across contributors and environments to the depth a project requires.

Environmental

Video & sensor capture

Fixed or mobile recording setups across indoor, outdoor, and industrial settings, paired with sensor data where a client’s use case calls for it.

Operations are customized to the activities, environment, recording specifications, duration, quality standards, metadata, and delivery format each client requires — no two collection projects run to the same brief.
Quality

We don't just collect data.
We deliver data that's ready to use.

Every file that moves through NAS Labs passes a structured sequence of checks before it reaches a client — so what's delivered is organized, validated, and usable from the moment it arrives.

File validationVideo-quality verificationDuration checksCorrupted-file detectionOrganizationReviewValidationSecure delivery
QA Pass — Batch 0417
egocentric_kitchen_014.mp4Validated
activity_outdoor_089.mp4Validated
sensor_pack_022.csvValidated
egocentric_kitchen_015.mp4Flagged — re-record
activity_outdoor_090.mp4Validated
Industries & AI Applications

Supporting the organizations building with real-world data.

AI & Machine LearningComputer VisionRoboticsManufacturingAutonomous SystemsMultimodal AIGenerative AIAcademic Research
Custom Projects

Every collection operation is built around your requirement — not the other way around.

Bring us a specific data requirement — an activity, an environment, a recording format, a quality bar — and we plan the contributor network, equipment, and QA process around it. There is no fixed package to fit into.

01Define the activity, environment & specification
02We plan the collection operation around it
03Data is collected, checked, and validated
04You receive an organized, ready-to-use dataset
Have a Specific Data Requirement? Let's Talk.
Contact

Tell us what data you need.

Share your requirement and our team will follow up to scope the collection operation with you.

Office
NAS Labs
Ediga Hostel Complex, 3rd Floor
Court Road, Ballari
Karnataka – 583101
India
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