Custom real-world
training data for
physical AI.

We turn real human work into structured, customer-specified training data for robots.

For data buyersExtend your data collection team. Across borders.

See how Norda coordinates sites, contributors and capture around your model and robot training needs.

For collection partnersEarn revenue from access to your workplace.

We match businesses to paid collection projects. Find out whether your sites and activities fit our clients’ needs.

01 Our principle

Built around your model.
Not an off-the-shelf dataset.

Norda is a custom robotics training data company for physical AI and embodied AI teams. Every program starts with the buyer’s model and what it needs to learn. Together, we define the task, environment, capture modalities, annotation schema, and acceptance criteria—from real-world human demonstrations to validated delivery. Each program is built to specification, not drawn from a pre-existing dataset, fixed sector, or sensor stack.

Buyer-definedProtocol-controlledScale after acceptance

02 Robotics training data collection

One disciplined pipeline.

01

Define

Translate the model objective into a clear task, data specification, and acceptance criteria.

02

Source

Recruit the right contributors and secure the environments the task requires.

03

Capture

Execute the agreed protocol with a capture setup configured for the task.

04

Annotate

Segment and label demonstrations according to the agreed annotation schema.

05

Validate + deliver

Data integrity and quality checks, delivering only data that meets acceptance criteria.

Private access / Raw footage

Review our collection quality.

Request a private selection of 24 egocentric clips from residential and commercial environments.

Raw footage only. No metadata or annotations.

Request sample footage

Samples are shared privately following review of your request.

03 Multimodal robotics data

Only the modalities
that earn their place.

The capture stack follows the learning objective. We add equipment only when its signal justifies the cost and complexity.

A

Visual + audio

Egocentric video, fixed and multi-view RGB, depth, and audio streams as required.

B

Motion + interaction

Pose, IMU, trajectories, force, or tactile signals where useful.

C

Task + outcome context

Objects, conditions, environment, operator context, and outcomes.

D

Temporal annotation

Task phases, event boundaries, action sequences, errors, and recoveries.

NORDA / DISTRIBUTED COLLECTIONBUYER-DEFINED PROJECT
PILOT
PROTOCOL
SITE_01
SITE_02
SITE_03
QA
DELIVERY
TARGETED RECOLLECTION
PILOTPROTOCOLFIELD CAPTUREQA LOOPDELIVERY

04 Real-world data collection

Capture where
the work happens.

We pilot before scaling, coordinate contributors and sites, and configure the capture setup for each task. Managing the workflow end to end enables continuous quality control and targeted recollection when needed.

05 Robotics data quality

Quality is engineered
end to end.

01

Protocol

Task, procedure, outputs, and acceptance criteria agreed before scaling.

02

Capture system

Task-specific equipment, calibrated where needed and time-aligned to the required outputs.

03

Field control

Operator training, setup checks, sample review, and rapid corrective loops.

04

Annotation

Buyer-defined annotation schemas applied to actions, objects, transitions, errors, and outcomes.

05

Validation

Automated checks and human review verify each delivery against the agreed acceptance criteria.

06

Rights + security

Participant consent, data licensing, retention, transfer, and access controls defined for each program.

06 Operating experience

Real production experience.
Applied to buyer-defined programs.

Norda draws on an operating network with experience running recurring real-world data collection at scale. This experience supports new programs designed from the ground up around each customer’s model, task, environment, and acceptance criteria.

65,000+

Hours of first-person human-activity video delivered through prior operating programs since 2024*

300+

Contributors recruited and managed across real-world collection programs*

Multi-region

Contributor and site-sourcing reach across Europe, the Middle East, North America, and Latin America

End to end

Program design · sourcing · capture · QA · annotation · batch delivery

68,000+

Potential employee reach worldwide

Site access + data rights

Norda secures site-access permissions and data rights with large, often multinational companies. Across our current network, these relationships create potential reach into workforces totaling more than 68,000 employees worldwide.

Recorded volume matters only when the resulting data is relevant, structured, quality-checked, and delivered against the buyer’s specification.

// Capture versatility

The requirement defines
the capture stack.

From lightweight mobile kits to professional visual, audio, and motion-capture systems, Norda selects and configures equipment around the task, environment, required signals, fidelity, synchronization, and program economics.

EGO

Wearable + mobile

Phone-based, body-worn, and head-mounted RGB or RGB-D systems

First-person video · depth · camera pose
VIS

Machine vision

Stereo, global-shutter, and calibrated multi-view systems

Third-person video · geometry · object and scene motion
AUD

Audio

Wearable, directional, binaural, and spatial-audio systems

Task audio · multichannel sound · acoustic events
MOT

Motion capture

Optical, inertial, markerless, and instrumented hand-capture systems

Body and hand pose · joint motion · 6DoF trajectories

Equipment selected to specification.
No fixed hardware or sensor stack.

*Historical figures reflect prior programs delivered by members of Norda’s current operating network. Every Norda engagement is separately scoped, contracted, and validated against the customer’s requirements.

07 Field Note
A wall-sized map of Shenzhen’s robotics ecosystem at Robotuo

Shenzhen + Hong Kong · September 2026

Inside China’s Robotics Ecosystem:
The Humans Behind Physical AI

Talent, training data and the environments where physical AI will have to work. Norda’s field report from 25 days in Shenzhen and Hong Kong.

Read the field report

08 Start focused

Tell us what your robots
need to learn.

Share the task, environment, training objective, and technical requirements. We will design the data program around them—from a focused pilot to recurring production.

Discuss your data needs Request sample footage