Define
Agree the task, learning objective, collection specification and permitted uses.
Connecting skilled work in real industrial environments with the learning needs of AI and robotics teams.
DATA PROGRAMMES IN DEVELOPMENT
Sequence. Context. Variation.
Quality. Exceptions. Recovery.
Collection begins with a clear learning objective. The format, equipment and evaluation criteria depend on the intended model and application.
Agree the task, learning objective, collection specification and permitted uses.
Record authorised demonstrations and relevant context using the agreed setup.
Segment actions, document conditions, annotate outcomes and check quality.
Have the buyer evaluate the sample before expanding collection.
Illustrative collection themes, subject to buyer requirements and factory agreement.
Explore access to specialist industrial tasks and experienced operators. Define a sample, agree acceptance criteria and evaluate usefulness before scaling.
Prepare a data briefDiscuss an optional knowledge-capture programme, with agreed restrictions and a commercial model that may include a participation fee or revenue share.
Discuss participationSeparate participation. Buying consulting does not grant permission to license operational data.
Specific permission. Agree ownership, permitted buyers, uses, retention and commercial terms before collection.
Respect for people. Plan worker involvement, privacy and lawful processing as part of the capture design.
Quality before volume. Expand only after a buyer has accepted a useful sample.
We welcome conversations with robotics developers, researchers and businesses interested in participating.