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  • Writer's pictureBrad Cortlandt

Revolutionizing Maintenance One Algorithm at a Time

Updated: Sep 6, 2023

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In today’s fast-paced industrial world, maintenance isn't just about fixing things when they break. It's about preventing those breaks in the first place, streamlining operations, providing valuable resources to the technicians responsible in a world filled with information changes, and ensuring that machinery and equipment run smoothly. Unfortunately, traditional maintenance practices can't always keep up with the complexities of modern industrial equipment. That’s where fixaible comes in.

The Aha Moment

The idea for fixaible was born out of a genuine and pressing challenge. How do you ensure that a diverse array of machinery—everything from aerospace components to heavy earth-moving equipment—gets the precise, timely maintenance it requires, especially during critical downtime? How do you capture and retain the kind of tacit knowledge and expertise that veteran maintenance professionals have, especially when they retire or move on? And how do we better onboard the new generation of professionals?

The Challenge

Companies in various industries are facing an ever-increasing critical problem as technology advances at a rapid rate. On the one hand, new recruits are learning technical skills but lack a nuanced understanding of specific machinery. On the other hand, experienced technicians are retiring, taking with them years of invaluable experience and expertise. There was a gap, and it was widening with every passing day. Further, the amount of new information we are presented with daily has created the need for multiple specialized technicians to be present at a job site due to the vast amounts of knowledge required to solve a problem that extends beyond a simple fix.

The Solution

fixaible aims to bridge that gap. Using cutting-edge AI and machine learning algorithms, fixaible is designed to act as an intelligent assistant to maintenance technicians, providing real-time guidance, interactive schematics, and even predictive analysis to preempt potential issues. Fixaible can attach securely and read-only to your existing equipment control system or complete factory automation system. to analyze specific data points in real-time while using this information to aid in troubleshooting.

Beyond Algorithms: The Human Element

From the start, we knew the technology alone wouldn't be enough; fixaible needed to be backed by experience. So we tapped into our careers across various industries, from super-yachts to aquaculture, which extends back individually for almost 30 years. We have had the experience of the problems fixaible addresses. We have been there in the field with millions per day online, everyone over your shoulder asking for answers. We know the stress, and we aim to fix that. We have also spent countless hours speaking to maintenance professionals, understanding their daily challenges, and refining our algorithms to provide the data you need and the actionable insights to go with it. fixaible doesn't just identify problems; it offers solutions, guiding technicians through the repair process step-by-step.

Next Steps and Beyond

As we prepare to launch fixaible, we're incredibly excited about fixaibles possibilities for industrial maintenance. But we also know that this is just the beginning. We're committed to continuously refining and expanding our platform to meet the ever-evolving needs of the industrial sector.

We invite you to join us on this journey, offer your experiences, be part of the fixaible community, and the game-changing opportunity fixaible has to offer from both an organization's and technician's point of view. Subscribe today if you haven’t already, and keep an eye on this blog for more updates and insights into the world of industrial maintenance and the progress of fixaible.

Thank you for taking the time to read about the genesis of fixaible. We can't wait to share more about how we're revolutionizing industrial maintenance. Stay tuned!

Brad Cortlandt Yeadon

Founder / CEO - fixaible

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