Find the knowledge.
Identify the records and workflows that capture a useful task.
THE REAL-WORLD DATA NETWORK FOR AI
Real work.
Remarkable
intelligence.
Your business creates knowledge every day. We turn it into useful training data for AI—and shared value for you.
Explore a partnership ↗Building AI? Start here ↗Made by people.
Learned by AI.
ONE HUMAN THREAD.
FIELD NOTES — 01 / 03FOOTWEAR / QUALITY INSPECTION
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HOVER TO LOOK INSIDE THE WORK
KNOWLEDGE IS EVERYWHERE. VALUE IS WHAT WE MAKE OF IT.THE STORY INSIDE THE WORK ↓
01 / INSIDE THE WORKFOOTWEAR · AN ILLUSTRATIVE DATA STORY
The footage is just
the beginning.
What was noticed? Why that decision?
What happened next? The knowledge lives
in the connections.
WM / FIELD NOTE 0101 · OBSERVE
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INPUT / VISUAL RECORDA detail worth a closer look.
KNOWLEDGE
Pause a moment. Reveal what it holds.
THE SITUATION
A material.
A closer look.
A technician examines a sneaker before checking how its sole bends. The construction, material and intended use give the movement its context.
THE EXAMPLE COULD CAPTURE
The shoe, its material, a reference sample and the inspection context.
WHAT AI COULD LEARN
Connect visible construction with the task being performed.
THE DECISION
Knowing where
to flex.
The technician positions one hand at the heel and the other at the forefoot to observe a controlled bend and release.
THE EXAMPLE COULD CAPTURE
The grip, intended flex area and the technician’s reason for the check.
WHAT AI COULD LEARN
Relate a hand position to the purpose of an inspection.
THE ACTION
Experience,
in motion.
The forefoot bends upward, holds briefly and returns. The sequence connects the technician’s grip with the material’s visible response.
THE EXAMPLE COULD CAPTURE
The bend-and-release sequence, hand positions and observed deformation.
WHAT AI COULD LEARN
Follow how a human action changes an object over time.
THE RESULT
Keep the response.
Keep the context.
The visible recovery can be recorded alongside inspection criteria and an expert’s assessment. A real quality decision needs more than footage alone.
THE EXAMPLE COULD CAPTURE
The observed response, comparison criteria and the inspector’s notes.
WHAT AI COULD LEARN
Distinguish visual evidence from the judgment attached to it.
ONE CONNECTED EXAMPLE.
Bring us your learning problem ↗Footage + context + human judgment + outcomes.
Organized together, these become training examples for AI.
AI-generated concept films with illustrative tracking graphics. These are examples of how work could be described, not verified work records, measurements or available datasets. About the films ↗
The world is full of expertise.
Let’s put it to new work.
Businesses solve real problems every day. WorkMatter helps turn that experience into carefully prepared datasets for AI developers. Under our proposed model, you keep ownership and share in the revenue from agreed licenses.
See how it works ↗02 / FIND YOUR PLACEONE NETWORK. TWO WAYS IN.
FOR BUSINESSES↗
Your work knows
more than you think.
Your records, workflows and people hold hard-earned knowledge. Discover what could be useful to AI—and how your business could share in its value.
Explore a partnership ↗YOUR WORK.YOUR OWNERSHIP.SHARED VALUE.
FOR AI TEAMS↗
Teach your models
how the world works.
Start with the task your model needs to learn. Explore contextual examples, proposed formats, quality requirements and rights for your use case.
Discuss your data needs ↗REAL CONTEXT.CLEAR RIGHTS.USEFUL EXAMPLES.
03 / THE CONNECTIONOur proposed process ↗
From everyday work
to new possibilities.
A thoughtful process for bringing business knowledge to AI. Built around usefulness, permission and shared value.
Make it teachable.
Connect the context, fill the gaps and check the quality.
Agree the rights.
Define what can be used, by whom, and for which purpose.
Share the value.
License agreed datasets. Share revenue with the businesses behind them.
04 / A WORLD AT WORKSTART FOCUSED. THINK ACROSS INDUSTRIES.
Every industry.
A different kind of know-how.
Footwear and textiles are our first access points. The ambition extends to any industry where work can be connected to its outcome.
01Footwear & textiles
FIRST ACCESS POINTS+
A defect caught. A material selected. A seam adjusted. Decisions made on the floor can become examples of how quality is understood and improved.
Look inside an illustrative example ↗02Logistics & operations
FUTURE EXPLORATION+
A delivery disruption, the alternatives considered, a revised route and the eventual outcome. A connected record could help AI learn from operational decisions.
Illustrative possibility. No current availability is implied.03Maintenance & field work
FUTURE EXPLORATION+
A symptom observed, a diagnosis tested, a repair completed and the equipment checked again. The complete sequence could make practical expertise useful to AI.
Illustrative possibility. No current availability is implied.Built on permission.
Designed for shared value.
The people who create the knowledge should have a say in where it goes.
Our approach to trust ↗About the films & examples +
Three AI-generated concept films, created for WorkMatter, explore footwear inspection, dental cleaning and auto-body repair. Their tracking graphics and four-part stories are illustrative. They are not verified work records, clinical guidance, measurements, customer case studies or available datasets.
GOOD WORK DESERVES TO GO FURTHER.
The future of AI
has a human side.
Bring the work. We’ll find the possibility.