PROPRIETARY REAL-WORLD DATA FOR AI
Teach models how the real world works.
Rights-cleared, context-rich data capturing observation, intention, decisions, actions, and outcomes—from real expert work.
THE MISSING LAYER
The internet only captures part of human intelligence.
Models have access to enormous amounts of information. What they often lack is how skilled people actually perform difficult work. Context360 captures that missing layer.
Proprietary
Non-public, controlled-source data that cannot simply be scraped or reproduced.
Expert
Generated by people who understand how the work is actually done.
Structured
Captured with intention, actions, state changes, and outcomes—not isolated media.
CONTEXT-RICH TRAJECTORIES
Capture expertise, not just activity.
The unit of value is an expert encountering a state, interpreting it, choosing an action, and producing an outcome.
Observe
What the expert sees
Interpret
What matters and why
Decide
Which action to take
Act
What the expert does
Adapt
How conditions change
Verify
Whether it worked
BUYER-DEFINED COLLECTION
Don’t adapt your model to the dataset. Design the dataset around the model.
Define the capability, acceptance criteria, environment, modalities, and schema. We design and execute the collection program.
Build a custom datasetCAPABILITIES
From hard-to-access context to model-ready data.
License an existing corpus or build a new collection around a capability the public internet does not contain.
Existing proprietary data
License permissioned, non-public multimodal datasets through private access.
Custom collection
Design a prospective collection against your exact model and evaluation requirements.
Expert intelligence
Capture how skilled people observe, interpret, decide, act, correct, and verify.
BUILT ACROSS DOMAINS
The hardest capabilities live outside the public internet.
We shape collections for frontier models, physical systems, high-skill domains, enterprise agents, and rigorous evaluation.
Frontier AI
Multimodal reasoning, tool use, long-horizon demonstrations, and private evaluation data.
Physical AI
Human demonstrations, hand-object interaction, tool use, failure, and recovery.
Medical AI
Expert procedural intelligence synchronized across visual, temporal, and cognitive layers.
Enterprise agents
How people navigate systems, make decisions, handle exceptions, and resolve work.
Industrial AI
Maintenance, inspection, skilled trades, equipment operation, and task verification.
Evaluation
Expert-scored private benchmarks built around real capability boundaries and edge cases.
PROVENANCE BY DESIGN
Provenance isn’t metadata. It’s infrastructure.
AI teams need to know where data came from, who had rights to provide it, and what transformations were applied.
- Source lineage
- Usage rights
- Permission records
- Transformation history
- Annotation lineage
- Quality assurance
- Access control
- source_type
- expert_capture
- collection_method
- first_person_multimodal
- rights_status
- commercial_ai_training_permitted
- modalities
- video / audio / events
- annotation_lineage
- versioned / reviewer-linked
- qa_status
- accepted
- access_scope
- private_license
DATA BUILT FOR TRAINING
Media is only the beginning.
Context360 can pair first-person video, speech, physical actions, software events, expert interpretation, and outcome signals into one temporally aligned record.
That context creates a far richer training primitive than disconnected clips, labels, or records.