Prevent the Leading Causes of Performance Losses in Your Operation using AI for Manufacturing 4.0
Our Industrial Artificial Intelligence platform was built to diagnose the cause of the unexpected failures that create the most significant operational losses in both production process and maintenance/reliability. It uses our proprietary engineering analytics to create prescriptive diagnostics that explain the cause of the losses. These losses include unplanned downtime events, yield shortfalls, quality failures and compliance failures. Today, the only solution are highly skilled teams of process engineers and reliability engineers always ready to make fast interventions with process alignment and equipment repair. It's a very high bar of complexity that is becoming increasingly challenging to sustain.
Advanced Engineering Analytics Makes the Big Difference
Our Industrial AI uses a special new type of engineering analytics to pull more information out of your data. It leverages your current legacy data, builds a digital twin that predicts failures. You get alerts with failure predictions along with matching prescriptive engineering diagnostics. We have adapted Industry 4.0 analytics technology to produce big gains with your legacy data and equipment infrastructure.
For Production & Maintenance Operations
For Process Engineers
Process engineers will love this. They will get the engineering diagnostics to make decisions that can prevent failures in production process, including process quality, yield and downtime. Fix permanently with a diagnostics study. Or, if too complex, add continuous monitoring to gain enough advance notice to respond proactively. With all predictions, underlying engineering diagnostics are provided to enable permanent fixes to operation and prevent failures entirely.
For Reliability Engineers
Maintenance reliability engineers will love this. They will get the engineering diagnostics to make decisions that can prevent failures in equipment life, including degradation based prognostics and remaining useful life (RUL). Fix permanently with a diagnostics study. Or, if too complex, add continuous monitoring to gain enough advance notice to respond proactively. With predictions, underlying engineering diagnostics are provided to enable permanent fixes to operation and prevent failures entirely.
Operational Gains We Enable
For Manufacturing, Food Processing, Pulp & Paper Production, Telecom Field Service, Global IoT Assets, Telematics
Prevent Unplanned Downtime
Predict equipment failures that cause shutdowns and unplanned downtime.
Predictive Quality Failures
Predict and prevent production process conditions that cause quality to degrade and ultimately exceed limits.
Predict and prevent the factors that reduce output and cut into yield.
Predictive EHS Compliance Failures
Predict and prevent the factors that lead to compliance failures.
Predict Inventory Levels
Predict too much or too little work in process (WIP) inventory throughout the production process.
Predict Delivery Delays
Predict delivery delays from breakdown in overall process including inventory shortfalls.
Reduce Reactive Support Costs
Predictive failures help an operation reduce the costly reactive component of their support operation.
Scale Technical Skill
Failure alerts and engineering diagnostics enable technicians to cover more of a site in a day.
We Manage the Platform and Analytics for You
DecisionIQ's expert engineers and data scientists understand your problems and your data. They provide quick turn around and deliver intelligent solutions.
No Platform to Download and Setup
You won't have to add staff to learn and operate our platform. Our experienced engineers and data scientists do the work fast.
No Data Science Skills Required
We do all the data science work for you. No-coding required from your team. Engineers and technicians use our platform with 10 minutes of training.
We have integrated two disciplines, engineering and data science, to create new type of machine learning, not available elsewhere.
Results in 30 Days
Because there is no learning curve, you get actionable results in 30 days from delivery of data.