All work

Fieldnote

/

Energy · AI

/

2026

AI field notes for wind turbine engineers

Voice-first inspection reports that turn spoken notes and photos into structured maintenance data.

Wind turbines at golden hour, Fieldnote case study from the Kernova software agency template

Client

Fieldnote

Industry

Energy · AI

Year

2026

Services

AI systems · Mobile app · Data platform

12h

saved per engineer each month

The challenge

Engineers inspecting offshore turbines wrote reports by hand after long shifts. Data arrived late, in different formats, and was hard to search.

What we built

We built an offline-first mobile app where engineers speak and snap photos. A language model turns that into a structured report, which syncs to a searchable data platform once the device is back online.

→ Works without signal, syncs when connected
→ Structured fields extracted from speech
→ Human review before anything reaches the asset system

The outcome

Each engineer saves about 12 hours a month, and maintenance planners now see issues the same day.

Next project

Route planning that cut a fleet’s fuel bill

Create a free website with Framer, the website builder loved by startups, designers and agencies.