Hotel housekeeping
- Bed making and linen change
- Bathroom and surface cleaning
- Amenity restocking
- Room reset checks
>Hotel data
Training data for hotel and housekeeping robots
First-person video of real hotel work: housekeeping, laundry, reception and short-let apartment turnovers. Recorded with written consent and de-identified before storage.
01Capture
Hotel work we record
Long-horizon, hands-on tasks in the places robots are expected to work next.
Laundry
- Sorting and loading
- Folding sheets and towels
- Ironing and pressing
- Stacking and trolley packing
Reception
- Key and card handling
- Luggage handling
- Desk organisation
- Paper and device workflows
Short-let and Airbnb turnovers
- Full apartment turnover between guests
- Kitchen and appliance reset
- Linen swap and staging
- Small-space, varied-layout navigation
02Why
Real shifts, not staged tasks
The footage is egocentric: recorded from the worker's own point of view, usually with a head-mounted camera. It shows hands, tools and objects the way the person doing the task sees them.
The work is not staged. We record people doing their actual jobs in working venues. Task lists can be agreed with you, so coverage matches what your robot needs to learn.
The data is for teams that train robot manipulation policies, world models, video-language models and other embodied AI systems that need examples of real, unscripted physical work.
03Formats
Formats and metadata
We don't push a fixed product. Technical parameters are set per customer specification.
Raw videoFirst-person footage of complete tasks, delivered as captured after de-identification.Standard
Resolution, FPS, codecPer customer specification.Spec
Session metadataEnvironment type, task description and session context. Fields are agreed with you up front.Spec
Camera poseOptional, where the capture setup supports it.On request
AnnotationTask segments, actions or object labels, scoped to your taxonomy.On request
DeliveryFile structure and transfer method agreed per project.Spec
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Opt-in, in writing
Workers sign informed consent before any recording, and can pause, stop or withdraw.
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Venue sign-off
Recording happens only with the site's agreement, within agreed areas and hours.
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Guests are not the subject
We avoid filming guests. Any incidental people, faces or personal items are de-identified.
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De-identified before storage
Faces and sensitive data, such as documents, screens and room numbers, are obscured before footage is stored or shared.
05Pilot
Start with a pilot
A pilot is typically 20 to 50 hours of accepted footage. It is a small, scoped batch that lets you test the data in your own pipeline before you commit to volume.
- Scope and spec: environments, tasks, format and metadata fields.
- Capture: consented sessions, de-identified before storage.
- Review: you review samples and accept them against the spec.
- Next: adjust the spec, or expand to more sites and tasks.
Pricing depends on environments, spec and volume, and is quoted per project. Billing is tied to the hours you accept, not the hours recorded.
>Contact
Tell us what your model needs to learn
Send a sample request on the home page, or book a call. We reply by email.