Lukan Wind Robotics
A Detectra crawler deep inside a wind turbine blade, lit from behind by its own lamps.

For wind asset owners and operators

We democratise inspection and condition intelligence for wind assets.

With in-house robotics and agentic analysis, every inspection report, design document, repair record, monitoring and SCADA record you have, or are about to get, goes into the next O&M decision.

The problem

The data exists. It is just never used together.

Your inspections, SCADA and repair records already hold most of the answers. They sit in PDFs, spreadsheets and inboxes, so each decision is made with whatever someone found in time. We help you use them: our crawler adds what is missing from inside the blade, and AI agents read everything together and draft what to repair first, for your engineers to decide.

Too late, or too early

Repairs are planned on the latest report, not on how the defect developed.

Crews sent twice

Findings from different suppliers are not planned together.

One turbine at a time

A defect that repeats across the park is found blade by blade.

How it works

Detect. Quantify. Act.

Our crawler records the inside of the blades, and AI agents work through your inspections, SCADA and repair history to draft what to repair, and how soon.

01 / Detect

User-friendly robotics.

Detectra drives up to 80% of the blade length from the root and records the inside in 8K 360° video, in about 15 minutes per blade. Drone and technician reports from any supplier go into Fenestra as well.

Detectra

02 / Quantify

Every finding in numbers.

Size and position of each finding, how it changed since the previous inspection, and the turbine's production, side by side in Fenestra. Quantra will add NDT measurement, with 2027 targeted availability.

Quantra

03 / Act

Agentic analytics.

When an inspection report lands, AI agents compare it with the previous one, look for the same kind of defect on the park's other turbines, add the SCADA context and draft repair priorities. A LUKAN engineer checks them before you see them.

Fenestra

Detectra

Meet Detectra

The crawler that records the inside of the blade from the root to 80% of its length, in 8K 360°.

Loading

Full use of your data

From scattered data to the next O&M decision.

In

  • Inspections

    Crawler video, drone and technician reports, any supplier

  • Inspection history

    Every earlier campaign of the same blade

  • Design data

    Blade type, drawings and turbine documents

  • SCADA

    Production, availability, alarms

  • Repair records and reports

    Repairs done, repair reports, failure reports

  • Sensor data

    Next (not connected yet)

    Condition monitoring

Fenestra

One record per turbine, blade and finding.

AI agents read the findings, their history and SCADA

and draft what to do next, for a LUKAN engineer to approve.

Out

  • Repair priorities per turbine

  • What to monitor and when to re-inspect

  • Defects that repeat across the park

  • Evidence for warranty and insurance claims

Agentic analytics

Analytics that does the first pass.

When an inspection report lands in Fenestra, an agent goes to work without being asked. It drafts a briefing for your asset manager, and each repair priority and repeated defect in it links to the findings behind it.

  1. An inspection lands

    A drone or technician report, or a crawler recording, is uploaded to Fenestra.

  2. Compared with the last one

    For inspection reports, finding by finding: new, worse, grown, repaired or not seen again. Crawler video is not compared automatically yet.

  3. Checked across the park

    The same kind of defect near the same position on the other turbines of the park.

  4. Placed in context

    SCADA headline numbers for that turbine and the repair status of each finding.

  5. Drafted, then approved

    Repair priorities with their reasons. A LUKAN engineer reviews them before you see them.

What it changes

Crews and budget where they matter.

Repair at the right time.

Findings tracked across inspections show what is growing and what can wait.

Fewer trips per turbine.

Findings from every supplier sit on one record per turbine, so a crew can plan everything into one visit.

Patterns, not surprises.

A defect that repeats on several turbines shows up early, while it can still be raised with the manufacturer.

Evidence that holds.

Every finding traces back to the recording or report it came from, and its date.

Trusted inside blades by

  • Nordic Wind Group

  • TotalEnergies

  • RTS

  • Alerion

Backed by

  • Innovationsfonden

    Innofounder programme, 2026

  • MADE

    Kickstartprojekt, 2026

Get in touch

Put all of your asset data to work.

Tell us about your fleet. We come back with a pilot proposal or a quote within a few working days.

Direct contact

info@lukan.dk
Write to us