Why ThinkIQ?

ThinkIQ Powers Industry 4.0 Smart Manufacturing

Why ThinkIQ?

Smart Manufacturing (also referred to as Industry 4.0, IIoT, or 4.0 Manufacturing) has begun to revolutionize manufacturing efficiency and safety. Many companies, then, are searching for a straightforward path to Smart Manufacturing; one which includes immediate improvements to yield, traceability, and safety.

With a range of data analytic solutions available — such as ERP, MES, and MOM — why consider ThinkIQ and Transformational Intelligence?

A Clear Path to Industry 4.0 Smart Manufacturing

ThinkIQ’s products are aligned along a 5 stage path specifically designed to take manufactures from their current data analytics to transformative Smart Manufacturing systems.

We’re laser-focused on transforming your process through the 5 steps required to reach Industry 4.0 Manufacturing: Data Capture, Visualization & Integration, Insight, Continuous Improvement, Smart Manufacturing. In fact, our products are directly aligned with each of these steps.

The benefits of this Transformational Intelligence are clear: improved yield, safety, quality, and compliance. But until now, the path to reach Smart Manufacturing status has not been.

ThinkIQ takes the guesswork and complication out of the equation. We create Smart Manufacturers, with immediate benefits at each stage.

ThinkIQ Solutions

TIQ Visualize Product Logo
The first step to becoming a fully automated Smart Manufacturer is to begin digitally collecting your data — from beginning to end.
TIQ Insight Product Logo

The next step as you progress towards the full benefits of Industry 4.0 Smart Manufacturing is to use advanced AI and ML to enable a material-centric view of operations.

TIQ Transform Product Logo

Once a manufacturer has a material-centric view of operations, with centralized, standardized data, they can move to the final step towards Industry 4.0 Manufacturing.

TIQ Enterprise Product Logo

See the ongoing benefits of Industry 4.0 manufacturing at the enterprise level.

ThinkIQ’s Next Generation Historian

Maintains supply chain and manufacturing data for traditional data analytics tools

ThinkIQ’s Semantic Model

Creates the required context to relate sensor data to physical plant equipment, manufacturing processes, raw materials, and finished goods
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ThinkIQ’s query language

Allows manufacturing data to be queried through the lens of the Semantic Model

ThinkIQ’s Material Ledger

Allows the tracing of materials and related information as they move through the supply chain and manufacturing process

eBook: Advanced Material Traceability Revolutionizes Digital Transformation

Download the eBook now and see how ThinkIQ can help to expand your business!

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A Proven Data Platform

ThinkIQ has for years worked with some of the world’s largest manufacturing companies. Our smart data platform has prevented recalls, lowered production costs, and transformed data systems to give visibility and context to information along the supply chain and inside manufacturing facilities.

Stop a product with bad ingredients that is about to leave the dock? ThinkIQ has done it. Determine how exactly to cut onions for the greatest yield? ThinkIQ has done it. Inform a supplier when to move grain in their own silos? Yes, ThinkIQ has done it.

Contact us today for a list of references, testimonials, or an eye-opening product demonstration.

An Experienced Team focused Solely on Smart Manufacturing

Other companies offer generic data analytics. But ThinkIQ is the only Smart Manufacturing platform that provides Transformational Intelligence. Our team has decades of combined manufacturing experience, and is solely focused on applying the ongoing Industry 4.0 data revolution to manufacturing companies.

A Significant Technological Advantage

ThinkIQ has applied and refined our proprietary Transformative Intelligence data platform with a host of Smart Manufacturing organizations for years. In addition, our system has millions of data points of contextualized manufacturing data. This AI dataset allows our machine learning algorithms and engineering teams to understand and analyze manufacturing data like never before.

Our Industry 4.0 platform incorporates AI and machine learning with 4 unique elements.

ThinkIQ’s Next Generation Historian

Maintains supply chain and manufacturing data for traditional data analytics tools

ThinkIQ’s Semantic Model

Creates the required context to relate sensor data to physical plant equipment, manufacturing processes, raw materials, and finished goods
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ThinkIQ’s query language

Allows manufacturing data to be queried through the lens of the Semantic Model

ThinkIQ’s Material Ledger

Allows the tracing of materials and related information as they move through the supply chain and manufacturing process

The combination of these elements potentially leads to a revolutionary, transformative view of manufacturing data.

The ThinkIQ Difference

When considering your data platform, ask these questions:

  • Do they focus specifically on manufacturing?
  • Have the specifically aligned products to help you move from where you are, to Industry 4.0 Smart Manufacturing?
  • What experience do they have integrating disparate data points throughout along manufacturing supply chains?
  • Can their historian handle manufacturing analytics data, including new data types such as image, video, and geo-spatial information?
  • Has their data model been created specifically to relate sensor data to physical plant equipment, manufacturing processes, raw materials and finished goods?
  • Can manufacturing data be properly queried with a specific tool designed for manufacturing data analytics?
  • Does their data system offer a specifically-tailored module for tracing materials as well as accumulated information as they move through your supply chain?
  • How much manufacturing data has their machine learning / AI module absorbed and learned from?
  • Do they link industry benchmarks are your own internal KPI’s?
  • Do they apply continuous learning methodologies to your manufacturing line?
  • Can they integrate all of the above elements to truly identify cause & effect patterns that transform your manufacturing line?

Contact us today for a platform demonstration or to chat with an engineer.

When considering your data platform, ask these questions:

  • Do they focus specifically on manufacturing?
  • Have the specifically aligned products to help you move from where you are, to Industry 4.0 Smart Manufacturing?
  • What experience do they have integrating disparate data points throughout along manufacturing supply chains?
  • Can their historian handle manufacturing analytics data, including new data types such as image, video, and geo-spatial information?
  • Has their data model been created specifically to relate sensor data to physical plant equipment, manufacturing processes, raw materials and finished goods?
  • Can manufacturing data be properly queried with a specific tool designed for manufacturing data analytics?
  • Does their data system offer a specifically-tailored module for tracing materials as well as accumulated information as they move through your supply chain?
  • How much manufacturing data has their machine learning / AI module absorbed and learned from?
  • Do they link industry benchmarks are your own internal KPI’s?
  • Do they apply continuous learning methodologies to your manufacturing line?
  • Can they integrate all of the above elements to truly identify cause & effect patterns that transform your manufacturing line?

Contact us today for a platform demonstration or to chat with an engineer.