The next leap in robotics starts in the field.
Context360 works with operating companies and skilled teams to capture rights-cleared vision-and-action data while real work is being done today, so robots can learn to do it tomorrow.
Robotics · Physical AI · Vision-language-action models · Autonomy
Work as it happens in the field
- Manufacturing
- Maintenance
- Construction
- Inspections
Work as it happens in the OR
- Procedures
- 3D + narration
- Recovery
WHAT WE SELL
Vision-and-action data generated while work gets done.
License existing industrial and surgical data, or commission a field collection with an operating company that preserves the environment, skill, action, correction, and verified outcome.
15,000+hours of video
Equipment inspections
Inspection video across 40,000+ equipment types, with asset failure modes, diagnostic and debug procedures, and linked maintenance history.
Request sample data15 yearsof OEM history
Equipment maintenance
Service events, parts, faults, repairs, component lifecycle, and outcomes for failure prediction and repair-before-failure modeling.
Request sample dataMillionsof pricing observations
Industrial appraisal workflow + video
End-to-end appraisal workflows pairing inspection video, condition evidence, comparables, pricing rationale, and final valuation outcomes.
Request sample data1,500+hours per week
Surgical procedure trajectories
Rights-cleared operating-theater capture across 20+ high-end surgical facilities in India under a U.S.-developed data protocol.
Request sample dataDataset details, samples, rights scope, and commercial terms are shared privately with qualified teams.
THE UNTAPPED DATA LAYER
Robotics has a field-data problem.
Web video, simulation, labs, and staged demonstrations can only take physical AI so far. The next capability jump requires data still locked inside daily field work: skilled people navigating real sites, tools, materials, variability, exceptions, and business outcomes.
FROM VISUAL SIGNAL TO OPERATIONAL RESULT
The context between seeing and understanding.
Each program preserves a complete episode as synchronized, provenance-linked layers, not disconnected videos, files, or labels.
Context
The environment, subject, task state, constraints, and operational objective.
Vision
Video, images, spatial evidence, and the conditions around each observation.
Expert signal
Narration, cues, labels, rationale, and the meaning behind what is seen.
Decision
The recommendation, alternatives, urgency, and approval boundary.
Action
The physical step, workflow event, correction, or intervention that follows.
Outcome
The verified state, business result, and evidence that the task was resolved.
WHERE WE ARE STRONGEST
Industrial and Medical field operations.
High-value work performed by real businesses in difficult environments, with specialist expertise and measurable outcomes.
INDUSTRIAL
Industrial vision data
Vision-and-action data generated with operating companies across manufacturing, maintenance, inspections, construction, industrial appraisals, and asset operations.
Request sample dataMEDICAL
Surgical procedure data
Rights-cleared surgical video, 3D positioning, narration, labels, decisions, deviations, and recovery paths at continuous scale.
Request sample dataOur source network: operating companies, skilled crews, factories, and active worksites, not anonymous or staged crowd demonstrations.
Scope a vision data programOPERATION-LED COLLECTION
Start with work already happening in the field.
We partner with the company doing the job, instrument the operation, and turn real execution into an accepted robotics training set, evaluation, or continuous data stream.
Explore custom programsCapability gap
What can’t the robot do?
Field partner
Which company does the work?
Instrument
Which vision and actions matter?
Collect
Capture during live operations.
Structure
Align, label, and validate.
Deliver
Training set, eval, or stream.
PROVENANCE IS PART OF THE PRODUCT
Every trajectory arrives with its history intact.
Source, participant, permissions, approved use, transformations, annotation history, and QA status travel with the underlying data.
- Asset-level lineage
- Permission + rights records
- Versioned transformations
- Annotation provenance
- Technical + semantic QA
- Private access scope
- trajectory_id
- C360-TX-0048
- source_type
- expert_in_situ_capture
- episode_layers
- context / intent / action / outcome
- rights_status
- approved_use_linked
- temporal_alignment
- multimodal / event-level
- qa_status
- accepted
- delivery_scope
- private_program