PROSPECTIVE DATA COLLECTION
Your spec. Our collection network.
Tell us what capability your model needs to learn. We design and execute a prospective collection program against your technical, semantic, and operational requirements.
Request a dataset design session- domain
- buyer_defined
- modality
- multimodal
- environment
- real_world
- schema
- custom
FROM CAPABILITY TO CORPUS
Build the dataset your model actually needs.
A disciplined pilot-to-production process keeps collection aligned with model requirements before scale is introduced.
Capability definition
Define what the model should learn, where current performance breaks down, and how success will be measured.
Collection design
Specify modality, environment, hardware, viewpoint, participant profile, ontology, and annotation schema.
Pilot
Run a deliberately small batch to validate the capture protocol, technical quality, and semantic usefulness.
Scale
Expand the approved protocol across participants, environments, tasks, and geographies.
Quality assurance
Validate technical integrity, completeness, annotation quality, acceptance criteria, and provenance records.
Delivery
Package accepted trajectories in the buyer-defined schema with documented lineage and versioning.
BUYER-DEFINED PARAMETERS
The collection begins with your constraints.
Shape the capture around the capability boundary—not around a pre-existing commodity dataset.
Domain + task
Define the expert activity, task boundaries, initial state, and target outcome.
Participants
Specify expert type, experience level, participant attributes, and verification criteria.
Environment
Choose operating conditions, hardware, camera viewpoint, geography, and site profile.
Modality
Combine POV video, audio, screens, events, documents, telemetry, or structured records.
Schema + ontology
Align annotations, events, temporal segments, taxonomies, and formats to your stack.
Acceptance criteria
Define technical quality, semantic correctness, coverage, and evaluation standards.
END-TO-END EXECUTION
One program. Every critical layer.
Context360 coordinates participant and expert sourcing, capture design, collection operations, rights and provenance, annotation, QA, and delivery.
- Participant + expert sourcing01
- Data collection operations02
- Rights + provenance03
- Quality assurance04
- Annotation + review05
- Buyer-schema delivery06