[Article] Embracing First Time Right Culture in Field Operations
In the past, many companies embraced a "Fix it" culture, addressing field errors after they happened. Today's landscape is completely different.
25/06/2024
Enter the First Time Right revolution
Stop wasting time and budget repairing errors in the field. Leverage
Computer Vision to see your quality standards applied systematically and
automatically.
Get the job done right the first time. Every time.
FORGET POST WORK
MANUAL QUALITY CONTROL
Move away from a process that verifies work a posteriori and leaves defects behind.
- ERROR-BASED
- PEOPLE INTENSIVE
- HEAVY
ADOPT FIRST TIME RIGHT
AUTOMATION
Choose real-time AI verification to maximize the success of the first intervention.
- SUCCESS-ORIENTED
- SCALABLE
- LEAN
Embark on a journey towards revolutionizing quality control in constructing, deploying, and maintaining critical infrastructures.
By automating quality control, Deepomatic's Al platform enables Telecommunications, Utilities & Green Energy companies to get 100% of the field operations checked in real-time. They increase their First Time Right Rate, with no more errors left behind.
The right partner for you
01.
Best-in-class computer vision
Leverage state-of-the-art models such as Vision Transformers to streamline your AI quality control process further.
02.
Off-the-shelf AI models
We offer custom models applicable to various industries, countries, and applications to accelerate the deployment and time-to-value of our platform.
03.
Evolutive platform
New equipment? New control points? We work with you to adapt the platform to your quality control needs.
04.
Pre-built connectors
Deploy our best-in-class field user experience easily in your existing field tools.
They got it right.
ROI analysis
$4.93M
Benefits Present Value
423%
ROI
< 6 months
Payback Time
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The Total Economic Impact™ of Deepomatic
Deepomatic commissioned Forrester Consulting to analyze the ROI that companies can expect from the implementation of its image recognition solution. Download the study to dive into the benefits and costs of our computer vision platform
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