Define
Set the task, output schema, and acceptance gates.
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 from your training objective and technical requirements—not a pre-existing dataset, fixed sector, or sensor stack.
Buyer-definedProtocol-controlledScale after acceptance
03 From brief to dataset
One disciplined pipeline.
Source
Match the brief with the right people and settings.
Capture
Run controlled protocols with a task-specific stack.
Annotate
Segment and label demonstrations to your ontology.
Validate + deliver
Check integrity and quality; package only accepted data.
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
Instructions, event boundaries, actions, errors, recoveries, and outcomes.
PILOT
PROTOCOL
SITE_01
SITE_02
SITE_03
QA
DELIVERY
TARGETED RECOLLECTION
PILOTPROTOCOLFIELD CAPTUREQA LOOPDELIVERY
05 Real environments
Capture where
the work happens.
We launch focused pilots, then scale accepted programs into recurring data production across people, sites, and geographies—with continuous QA and targeted recollection.
06 Data standards
Quality is engineered
end to end.
Protocol
Task, procedure, outputs, and acceptance gates agreed before scale.
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 ontologies applied to actions, objects, transitions, errors, and outcomes.
Validation
Automated integrity checks and human review against agreed acceptance criteria.
Rights + security
Consent, licensing, retention, transfer, and access controls defined per program.
07 Start focused
Tell us what your robots
need to learn.
Share the task, environment, and technical requirements. We will design the data program around them—from a focused pilot to recurring production.
Discuss your data needs