Capabilities
Data built for intelligence.
From human interaction to real-world task execution, CREAXIO helps transform complex human activity into structured training data.
Capabilities
Data built for intelligence.
From human interaction to real-world task execution, CREAXIO helps transform complex human activity into structured training data.
Data layer
Explore the data layer
- Example data type
- Recorded demonstrations of professional and everyday workflows
- Potential AI application
- Embodied AI, robotics policies, procedural understanding
- Collection method
- Guided task sessions with structured capture instructions
- Possible annotation
- Action segmentation, step labels, object and tool references
- Quality-control approach
- Specification review, reviewer checks, consistency sampling
Project builder
What does your model need to learn?
Describe the shape of the requirement and continue to a project request.
Select the options that describe your project.
Continue Project RequestQuality
Quality before quantity.
Useful AI data depends on clear specifications, controlled workflows, validation and structured delivery — volume alone does not make a dataset usable.
Specification
Requirements are documented before collection begins, so every task has a clear definition of done.
Validation
Structured checks review captured data against the agreed specification before it moves forward.
Consistency
Shared instructions, rubrics and reviewer calibration keep outputs comparable across contributors.
Traceability
Datasets are organised with structured metadata so records can be traced through the workflow.
Global
Human intelligence is global.
CREAXIO's platform is designed to support geographically diverse data collection programs. Programs can be designed around specific geographic and demographic requirements.
Building an AI system that needs better data?
Tell us what your model needs to learn. We'll explore how a purpose-built human data program could support it.