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Fiix Asset Risk Predictor

Predicts asset failures before they strike. Prescribes the measures that prevent them.

Get the out-of-the-box AI-powered predictive and prescriptive maintenance solution—with results in as little as two weeks.

Fiix Asset risk predictor dashboard

All-in-one predictive & prescriptive maintenance

Combine maintenance data with AI to spot anomalies, boost OEE, and plan maintenance with precision

Catch breakdowns days in advance

Spot potential equipment failure or underperformance days before it happens with continuous AI monitoring.

Bar graph and table dashboards with all the hourly asset risk history

React fast with AI-generated work orders

Automatically receive AI-generated work orders in your CMMS when issues are detected—leading to fewer missed steps and faster resolution.

AI-generated popup alert

Maximize the impact of your workforce

Use risk levels to confidently prioritize work in seconds and allocate time, money, and resources to where they’re needed most.

High, medium, and low risk level alerts

Enhance your business intelligence with asset risk data

Add risk history data to any EAM, ERP, or CMMS for better reports, deeper analytics, and a clearer picture of your overall operation.

Different Fiix ARP dashboards: daily risk level, risk history, hourly, latest

Get real-time help from your AI assistant New

Instant answers to your maintenance questions with Fiix Maintenance Copilot, an AI chatbot specially trained on your data. Plus, answers improve with time and experience.

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See pricing and FAQs

What our customers are saying

Dunlop

Dunlop logo

"Fiix Asset Risk Predictor gives us an early warning of potential machine issues, reducing the risk of unplanned downtime. Being able to auto-generate work orders when risks are detected is a huge plus."

Michael Thomas, Plant and Commissioning Engineer

Perth County Ingredients

Perth County Ingredients logo

"We’ve had great success so far [with Fiix Asset Risk Predictor], unfortunately, we haven’t had a failure yet, but we have seen some of that data trend upwards to a yellow alert."

Tom Dufton, Maintenance/Project Manager

Explore the Fiix Asset Risk Predictor dashboards

Overview dashboard: see risk history and latest risk level assets
  1. Filter by asset code or site name
  2. View the daily risk history for the past year
  3. Monitor the risk levels of all your assets
Overview dashboard: see risk history and latest risk level assets
Condensed dashboard view: see latest risk levels, history, and predicted risk levels
  1. See the latest and predicted risk levels for the asset
  2. View asset risk history on a daily or hourly basis
  3. Isolate potential risks by sensor
  4. Click any sensor to access its raw sensor data dashboard
Condensed dashboard view: see latest risk levels, history, and predicted risk levels

See Fiix Asset Risk Predictor in action with this two minute video

How Fiix Asset Risk Predictor Works

Asset → connector softwareExisting machine and process data is captured from PLCs, assets, sensors, etc.

Connector software → Fiix ARPData is refined and sent to Fiix ARP through an edge connector

Fiix ARP → Fiix CMMSWhen Fiix ARP detects anomalies that could signal oncoming asset failure, it automatically creates work orders

Fiix Prescriptive Maintenance

Detailed and complete work orders are created in your CMMS by a generative AI trained on your unique maintenance data:

AI prescriptive maintenance contents

Implement predictive and prescriptive maintenance without months and millions

Getting started with Fiix Asset Risk Predictor

  • Set up completed in as little as two weeks
  • Automatically learns how your equipment performs after seven days
  • Starting from $2,400 per asset per year

Want to learn more?

Book a live demo → (opens in new tab)

Frequently Asked Questions

What types of assets are supported?

You can use Fiix Asset Risk Predictor with any assets that can be monitored using sensors. Some examples include (but are not limited to):

  • Industrial machinery, such as pumps, motors, and gearboxes, to monitor for abnormal vibrations that may indicate a mechanical failure or unbalance.
  • HVAC systems, to monitor temperature, humidity, and air flow.
  • Electrical systems, to monitor current, voltage, and power usage.
  • Motors and generators, to monitor speed (RPM) and power output and power consumption.
  • Manufacturing equipment, to monitor temperature and humidity levels in the production environment.
  • Automotive, to monitor temperature, humidity, speed and vibration, of engine, transmission and wheels.
  • Wind turbines and other renewable energy systems, to monitor for abnormal vibrations, temperature changes and power output.
  • Robotics, to monitor temperature, humidity, vibrations, speed, current and voltage for safety and performance optimization.

What types of sensors can I use?

Fiix Asset Risk predictor is designed to be sensor-type agnostic, meaning that it can work with all types of sensors. Some examples include (but are not limited to):

  • Vibration
  • Temperature
  • Humidity
  • Speed (RPM)
  • Current or power
  • Voltage

I use a different CMMS can I still use Fiix Asset Risk Predictor?

Yes, Fiix Asset Risk Predictor works independent of the Fiix CMMS.

Can I have one asset with 15 data tags?

Yes, as long as you use a total of 15 data tags, you can have fewer than five assets.

Can I add or change assets later?

Yes, you can add or change the assets (and sensors) included in Fiix Asset Risk Predictor. The process for adding or changing assets and sensors is similar to the initial setup. Note: There is a cost associated with adding or changing assets and sensors.

How does this solution scale? For example, could we use it for 1000 assets?

Yes, because it is a scaled cloud solution, and it can technically be enabled for that many assets. If you want to enable Fiix Asset Risk Predictor for a large number of assets, contact your Fiix representative to discuss your options.

How do you know the data and predictions I’m receiving are accurate?

Technician can verify the accuracy by looking at the raw sensor values and operating status during the specified risky time spots.