Features

Self-learning

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 Connections

J1939 Connector (included)
Y-cable splice
T-taps to avoid cable splice
*Compatibile with Class 8 vehicles - Model Years 2010 or Newer Model Years 2005-2009, please contact

Expert Mechanic

Our expert mechanics review every one of your predictions before we send them out to you. You can view their notes for each alert on your personal dashboard.

Predict Charging System Issues

Alternator undercharging
Batteries that are nearing the end of life
Electrical connection failure
Auxilary Power Units (APU)
Sensor failure

Predict Emission System Issues

Selective Catalytic Reduction (SCR)
Diesel Particulate Filter (DPF)
Regeneration
Dosing amounts
NOx levels

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.

Testimonials

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From our blog

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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Maintenance & Autonomous Vehicles

By The Preteckt Team on November 8, 2017

Earlier this year Preteckt COO & Cofounder, Sasha Kucharczyk wrote an article for readwrite.com about the major problems with autonomous vehicles. In the piece he breaks down 2 issues and then goes on to explain the role of artificial intelligence in predicting maintenance. Here is a snippet. “The new AI for maintenance The concept of predicting breakdowns is nothing new. People have been using statistics for decades to calculate mean-time-to-failure – it is how the automotive industry came up with replacing parts based on number of miles driven.

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Dashboard Conversations

By Brad Montgomery on November 6, 2017

We’re happy to announce a new feature that we’re calling Dashboard Conversations. Alerts on the Preteckt dashboard have included notes from Jeremy, our Master Cyber Mechanic, for a while now. Many of you have have seen his comments that help remotely diagnose problems before they become costly breakdowns, and several of you have used this feature to engage in valuable conversations. Unfortunately, the original version of this feature made conversations somewhat difficult, and you let us know.

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We Do Predictive Maintenance Here!

By The Preteckt Team on November 2, 2017

“Explaining the difference between predictive and preventative maintenance to our customers can be a tough sell, but once I actually show them the raw data that is happening in real time, they get it.” says Jason Kyles, Customer Success Representative with Preteckt Inc. The raw data that Jason is referring to comes from the Preteckt device that connects to our customers’ big trucks and buses. It alerts them to future breakdowns using a device that we specially designed to deliver loads of truck sensor data to our scientists and engineers in real-time.

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