Customers

Measured on real lines, not in a deck.

Three published studies with numbers we can show you how we measured, and the teams that run Dropslab every shift.

  1. Siemens Energy

    Siemens Energy: AI and speech recognition in industrial quality inspection

    How Siemens Energy used Dropslab’s AI and speech-recognition platform to cut inspection time by 50% and reduce errors by 80% on gas turbine assembly in Berlin.

    • −80% errors
    • −50% process time
    • −40% cost
    Read the story
  2. E.ON

    E.ON: AI-based object recognition for efficient field maintenance

    How E.ON modernised annual network-infrastructure inspections with Dropslab’s AI object recognition: 80% fewer errors and 15% faster maintenance cycles.

    • −80% errors
    • −15% process time
    • −40% cost
    Read the story
  3. ZF Friedrichshafen

    ZF Friedrichshafen: Assisted reality vs. analogue instructions for technical tasks

    A peer-reviewed comparison of Dropslab’s assisted-reality system vs. analogue work instructions at ZF Friedrichshafen’s Saarbrücken training centre. 0% error rate, 40% cost savings.

    • 0% error rate
    • −40% cost
    • 1.7× faster task completion
    Read the story

Also working with Dropslab

  • B. Braun
  • Aptiv
  • Manroland
  • Husky
  • Aconity 3D
  • Fraunhofer IPA
  • ModuleWorks
  • AQ Solutions
  • CHAMP
  • ProCom
  • deinWerk
  • KK Wind Solutions
  • Luxembourg Army
  • Tembo

Partners and projects

More news

  • New Client: DeinWerk

    Exciting news! Dropslab Technologies is thrilled to announce our partnership with DeinWerk gGmbH, dedicated to empowering people with disabilities.

  • INCLUREG: Gemeinsam für mehr berufliche Teilhabe in der Großregion

    Dropslab ist Partner im Interreg-Projekt INCLUREG. Gemeinsam mit Organisationen aus der Großregion unterstützt das Projekt Qualifizierung, digitale Teilhabe und bessere Beschäftigungsmöglichkeiten für Menschen mit Behinderungen.

See how a study like this would run on your line.

A pilot of 4–6 weeks ends with a measured number. We show you the method before we start.