Define
Translate the model objective into a clear task, data specification, and acceptance criteria.
01 Buyer-defined data programs
Custom real-world
training data for
physical AI.
We turn real human work into structured, customer-specified training data for robots.
SYNCHRONIZED CAPTUREANNOTATED TO SPEC
EXAMPLE / DATA UNIT
EXAMPLE ANNOTATION VIEW
ACTOR
TASK OBJECT
BUYER-DEFINED ACTION SEGMENT
EP_00482 / CAM_0100:00:18.040CAPTUREVIDEO · AUDIO · OPTIONAL SENSORS
CONTEXTTASK · ENVIRONMENT · EQUIPMENT
LABELSACTIONS · OBJECTS · OUTCOMES · EXCEPTIONS
Protocol-defined · time-aligned · annotated · validated
02 Our principle
Built around your model.
Not an off-the-shelf dataset.
Every Norda program starts with your model and what it needs to learn. Together, we define the task, environment, capture modalities, annotation schema, and acceptance criteria.
Buyer-definedProtocol-controlledScale after acceptance
03 From brief to dataset
One disciplined pipeline.
Source
Recruit the right contributors and secure the environments the task requires.
Capture
Execute the agreed protocol with a capture setup configured for the task.
Annotate
Segment and label demonstrations according to the agreed annotation schema.
Validate + deliver
Data integrity and quality checks, delivering only data that meets acceptance criteria.
04 Signal by design
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.
Visual + audio
Egocentric, fixed, multi-view, depth, or audio streams as required.
Motion + interaction
Pose, IMU, trajectories, force, or tactile signals where useful.
Task + outcome context
Objects, conditions, environment, operator context, and outcomes.
Temporal annotation
Task phases, event boundaries, action sequences, errors, and recoveries.
PILOT
PROTOCOL
SITE_01
SITE_02
SITE_03
QA
DELIVERY
TARGETED RECOLLECTION
PILOTPROTOCOLFIELD CAPTUREQA LOOPDELIVERY
05 Real environments
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.
06 Data standards
Quality is engineered
end to end.
Protocol
Task, procedure, outputs, and acceptance criteria agreed before scaling.
Capture system
Task-specific equipment, calibrated where needed and time-aligned to the required outputs.
Field control
Operator training, setup checks, sample review, and rapid corrective loops.
Annotation
Buyer-defined annotation schemas applied to actions, objects, transitions, errors, and outcomes.
Validation
Automated checks and human review verify each delivery against the agreed acceptance criteria.
Rights + security
Participant consent, data licensing, retention, transfer, and access controls defined for each program.
07 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.
Hours of first-person human-activity video delivered through prior operating programs since 2024*
Contributors recruited and managed across real-world collection programs*
Contributor and site-sourcing reach across Europe, the Middle East, North America, and Latin America
Program design · sourcing · capture · QA · annotation · batch delivery
Volume shows operating capacity. Accepted data is the product.
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.
Wearable + mobile
Phone-based, body-worn, and head-mounted RGB or RGB-D systems
First-person video · depth · camera poseMachine vision
Stereo, global-shutter, and calibrated multi-view systems
Third-person video · geometry · object and scene motionAudio
Wearable, directional, binaural, and spatial-audio systems
Task audio · multichannel sound · acoustic eventsMotion capture
Optical, inertial, markerless, and instrumented hand-capture systems
Body and hand pose · joint motion · 6DoF trajectoriesEquipment 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.
08 Start focused
Tell us what your robots
need to learn.
Tell us what your model needs to learn, where the task happens, and where your current data falls short. We’ll translate that into a scoped collection protocol, pilot design, and detailed delivery plan.
Discuss your data needs