Cloud-based analysis + machine learning allows trucks on the Preteckt network learn from each other by sharing and comparing early symptoms of failure. When one truck experiences a maintenance issue, it trains the rest of the trucks on our network to recognize the symptoms that predict that failure.

Dashboard with Brains

Preteckt’s smart dashboard lets you view at a glance which truck is right for the job, and which needs servicing. Then follow up with Preteckt’s real-time data viewer. No more struggling to get feedback from the driver.

Preteckt Connectors

J1939 Connector (included)
T-taps to avoid cable splice
*Compatible with vehicles with a J1939 connector - Model Years 2010 or Newer; Model Years 2005-2009, please contact

Fleet Fuel Efficiency

Preteckt’s fuel efficiency gives feedback to improve fuel usage through vehicle and driver data.

Data Viewer

The Preteckt system provides you with data points from thousands of sensors at subsecond speeds. After going through the learning algorithms, the Preteckt Data Viewer provides all the information about your trucks, right at your fingertips.


Coming Soon!

Learn how Preteckt's predictive technology keeps your trucks on the road.

Preteckt Unit

Preteckt Unit
  • Cloud Based Network

    Cloud updates improve your Preteckt unit even after it's installed.

  • Cellular Coverage

    Runs on one of the largest digital wireless data networks in America.

  • Memory

    Enough to keep all of your sensor data for the life of your vehicle.

Predictive Maintenance

monitors an asset's efficiency and wear based on data collected. the data is sent through predictive algorithms to discover trends and identify when an asset will need to be repaired or retired.

Preventive Maintenance

involves regularly performed, planned tasks that are scheduled based on either time passed or meter triggers.


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Take a tour of the Preteckt Dashboard.

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From our blog

How the Internet of Things Will Change Trucking in America in 2018

By ProTech_RJ on December 11, 2017

The trucking industry is changing rapidly through mobile and connectivity advancements known as the Internet of Things (IoT). Through the use of smart gadgets, companies have improved how they carry out their operations, and made work more efficient and safer. Not only do enterprises stay connected to their drivers via a centralized network, but also, and more importantly, essential data is recorded in real-time. From slashing road safety issues to enhancing monitoring systems in fleet management, the IoT makes trucking a more effective business.

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Predictive Diagnostics is NOT an electronic crystal ball

By The Preteckt Team on November 29, 2017

We knew it would be a challenge to introduce and explain predictive technology. Here are just a few real-world examples of the resistance to a new and improved approach to maintenance and service. It paints a picture of an industry that has seen more than its fair share of snake oil sales. “I hold up my BS card to you. That sounds like using an electronic crystal ball to tell you when to do maintenance”.

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I Wish My Car Had Predictive Maintenance Technology

By Chris Fields on November 20, 2017

What value does Predictive Maintenance really offer? There are many skeptics who believe it’s just smoke and mirrors. Allow me, a guy who knows nothing about technology, to tell you why I wish I had predictive maintenance on my car. Growing up, we always had clunkers or junkers, whichever you prefer to call them, but these were old cars that broke down all the time. I had to learn early how to change tires, brakes, spark plugs, batteries, and even certain hoses.

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Industry 4.0, Context Is King

By The Preteckt Team on November 15, 2017

Preteckt CEO and Co-founder Ken Sills, recently wrote about Industry 4.0 on LinkedIn. It’s a well written piece on how machine learning (ML) and predictive maintenance (PdM) are actually already all around us. Here is a preview… Your heart rate and blood pressure depend on so many factors, but those factors are measurable. And these days, with essentially free data storage and compute capacity, there is every reason to be building a deep context using every measurement possible.

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