Manufacturing & maintenance operations
AI Built for Manufacturing
The reporting and intelligence layer for operations and maintenance. No app. No training. No download. A technician calls or texts a single number and keeps working.
The work gets done. The record doesn't.
Maintenance and operations run on documentation that has to be created by the person holding the wrench, at the exact moment they are least able to create it. Hands are dirty, gloves are on, the floor is loud, and the machine is still down. So capture gets deferred to the end of shift, compressed into a few words, or skipped.
Downtime costs are high and the data behind them is thin
Unplanned downtime costs industrial manufacturers roughly $50B a year, about $25,000 an hour. But "replaced bearing, line back up" says nothing about why it failed, whether it had failed before, or whether the vendor is at fault.
Repairs take longer than they should
Mean time to repair keeps rising as skills gaps widen and documentation gets thinner. Every undocumented fix is a repair someone else will have to solve again from scratch.
Institutional knowledge is walking out the door
Experienced technicians retire carrying decades of undocumented judgment: which machine runs hot, which vendor ships the wrong part, what the noise means. None of it is in the CMMS.
Compliance fails even when the work was done right
EPA 608 refrigerant logs, LOTO authorizations, OSHA safety records, warranty documentation. If it isn't documented, it didn't happen, and the fine, denied warranty claim, or failed audit lands anyway.
The tools you bought don't get adopted
App-based forms move paperwork onto a smaller keyboard without reducing the work. Implementation and training run for months, and the data that comes out is still thin and vague.
What DataStrut does differently
Capture is a phone call, not a form
A technician calls or texts one number and describes what happened in their own words. No app, no login, no training, no IT project. It works on any phone, on a ladder, in a plant, with gloves on.
The AI asks the follow-up questions a form can't
How many hours did that cost the crew? Had this unit done this before? Vague field commentary becomes quantified, structured records: man-hours, root cause, vendor performance, parts consumed.
It produces the documents you already use
Work orders, service logs, failure reports, time sheets and cost coding, safety logs. Configured to match your existing forms, ERP, and CMMS, and pushed there via API. DataStrut sits on top of the systems you already own.
The record compounds into a knowledge base
Every call adds to a searchable repository of lessons learned, SOPs, and productivity data that surfaces back to the next technician at the point of work.
See it in action
Book a quick call and see how DataStrut captures maintenance and operations data without changing how your technicians work.