No cameras to install and no labelling project. Fieldmark’s own ML pipeline trains models for your operation alone, from the photos and notes your team already makes — every time someone confirms or corrects its call.
Anyone can take the photo or write the note. Knowing which ones matter is the part that lives in only a few people’s heads — and the part it learns.
“Cleared a jam, didn’t lock it out. Line’s running.”
Flagged serious. Reaching in without locking out is how people lose hands, however routine the note sounds.
“Some oil under the gearbox.”
Flagged: seal failing. A drip there, not a weep. Work order this week, before it runs dry and stops the line.
“Line’s clear — starting the next run.”
Flagged: not clear. Last run’s carton and label are still on the line. That’s a mix-up waiting to ship.
It learns those calls from your people’s own decisions — and applies them every time, whoever’s on shift. The new hire, the night shift, the contractor.
On a note or photo taken as part of the work
Only that decision becomes training data
Tested on your own photos it has never seen
Trained on your data, served only to you. Never pooled across customers.
Every correction sharpens the next round. The longer you run it, the more it knows your operation.
It learns from the notes and photos your team already takes, as part of the work.
Compliance and safety calls learn from your team’s corrections today. Photo models train in rounds as the pipeline rolls out.
When the people who know move on, their calls stay — in the record, and in what it has learned from them. How the core works →
Tell us how your site runs today. You'll leave knowing what the first week would look like on your site and what it costs, whether or not you go further.