SCRUDU

Operational data supplier

Real factory data, licensed for AI.

Video and workflow records from live manufacturing and warehouse floors — captured with consent, delivered with proof.

Warehouse aisle stocked with palletized goods
01

What we collect

Two layers of the same operation, captured together.

Engineer working at an instrumented manufacturing station
A

Physical capture

Worker point-of-view and station-mounted video, synced with teleop and sensor data.

Engineer annotating technical schematics
B

Enterprise workflow exhaust

ERP, WMS, ticketing, and inventory records, normalised into one per-facility timeline.

02

How it works

Robotic arms on an automotive assembly line
  1. 01

    Source access

    Contracted with the facility before capture begins.

  2. 02

    Capture to spec

    Video, sensor, and workflow layers, built to the buyer's taxonomy.

  3. 03

    Normalise & label

    Synced, station-tagged, and checked for completeness.

  4. 04

    Document rights

    Consent and license-to-use travel with every dataset.

  5. 05

    Deliver

    Scoped to the buyer's stated use.

03

Provenance and consent

The first thing buyers ask about, and the first thing we document.

Two people shaking hands over a signed agreement

Right to license

Signed with the facility before capture — included with every delivery.

Worker consent

Notified, consented, and captured only in marked zones.

Anonymisation

Faces, badges, and plates removed. Records de-identified by default.

Chain of custody

Every dataset traces back to its facility and consent basis.

04

For facility operators

Your floor already produces this data.

What you get back

A single timeline of your own floor — bottlenecks and deviations, visible for the first time.

What stays yours

Capture zones you approve. Terms set before recording starts.

Why it works twice

The same footage that trains AI also shows you how work actually gets done.

Warehouse shelving stocked with palletized goods
05

Contact

For licensing enquiries, evaluation samples, or facility partnership discussions.

bez@scrudu.ai