Live webinar 8 October: watch an AI find a real gear fault in Metsä Group's data. → Save your seat

Live webinar

From machine data to answers in minutes

Rotomate's AI colleague answers questions about your machines and shows how it got there. Watch it find and explain a real gear fault in Metsä Group's data, on a slowly rotating machine.

Date
Thursday, October 8, 2026
Time
10:00 EEST · 45 min
Where
Online

What we'll cover

  1. The gap in condition monitoring today

    More machine data than ever, scattered across systems, and rarely enough experts to interpret every signal.

  2. From a system you read to a colleague you ask

    Machine data across systems, analysed continuously with engineer-level reasoning by the AI colleague. You ask, it answers.

  3. Demo: AI analyses a real gear fault at Metsä Group

    Real condition monitoring data from one of Europe's largest forest industry companies, and a developing fault on a slowly rotating machine. Watch the AI colleague work through it in the chat: the first question, the evidence, the explanation, the decision. Then the same approach on a second fault, on a different machine.

  4. Questions and answers

    Ask the team anything, live.

Register for the webinar

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Ask a question about a machine. Get an answer in minutes.

This is the chat we use in the session to walk through the gear fault case. It's the same one your team would work in day to day.

✓ Ask in plain language: point the chat at a machine and ask what happened. No query building, no dashboard hunting.

✓ See the reasoning: the AI colleague works through the evidence and explains what it found, not just that something is off.

✓ Decide what to do next: every answer ends with a recommended action and the evidence behind it. Rotomate recommends. You decide.

Rotomate AI colleague chat

Speakers

  • Jesse Miettinen

    Jesse Miettinen

    Co-founder and CTO at Rotomate, D.Sc. in Mechanical Engineering

    Jesse pioneered AI research in condition monitoring, with deep expertise in vibration analysis, AI, and signal processing. His academic and applied work sits at the intersection of industrial machine data and machine intelligence – the foundation on which Rotomate's AI colleague is built. He holds a D.Sc. in Mechanical Engineering from Aalto University.

    LinkedIn
  • Sampo Laine

    Founding Engineer at Rotomate, D.Sc. in Mechanical Engineering

    Sampo is a founding engineer at Rotomate and the person behind its mathematics and signal processing algorithms. His work spans spectral estimation, parametric and nonparametric, and the laboratory and on-site measurement that tells you which methods survive contact with a real machine. D.Sc. in Mechanical Engineering from Aalto University, on rotordynamics and electromechanical modelling.

    LinkedIn

Who this is for

For the people who own the maintenance decision, and the people who do the analysis behind it.


  • You'll get the most from it if you're

    • Head of maintenance, reliability or asset management
    • A plant, production or operations manager
    • Leading digitalisation or industrial data
    • A reliability or condition monitoring engineer

From machine data to answers in minutes.

Thursday 8 October, 10:00 EEST. 45 minutes, online.

Registered and can’t make it? We’ll send you the recording.