Fill Your Data Blind Spots with Smart Manufacturing
For better production decisions and the most complete data set for AI initiatives.
Empowering Industry 4.0 Smart Manufacturing
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Digital Data Integration
Despite the promise of Industry 4.0, only a fraction of manufacturers (25%) have successfully integrated digital data across their operations, hindering the seamless flow of information envisioned for smart manufacturing.
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Legacy Analog Equipment
The majority of manufacturers (65%) still grapple with legacy analog equipment, posing a significant barrier to achieving the frictionless exchange of data crucial for realizing the potential of Industry 4.0 and smart manufacturing.
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Manual Processes
Despite the advancements in digital technology, a majority (75%) of manufacturers still rely on manual processes, presenting a formidable obstacle in bridging the gap between real-time operations and data-driven decision-making. This hampers the efficient flow of information critical for maximizing value creation in modern manufacturing organizations and supply chains.
Decision Making and AI Requires a Complete Data Picture
An incomplete data picture impacts:
Production and operations decisions for efficiency, quality, and profitability.
AI initiatives will skew decision making based on only available data.
Manufacturing Digital Blind Spots are Pervasive
Connected
Already integrated—now make the data work harder.
These systems are tied into ERP, MES, or BI platforms and generating data. Thinaer enhances this by contextualizing, visualizing, and enriching the data for real-time decision-making.
Examples:
- CNC machines reporting status to MES
- Smart freezers integrated with inventory systems
- RFID-tagged surgical kits with tracked usage
- Tools calibrated through digital compliance workflows
With Thinaer, these connected systems go from data sources to decision engines—fueling AI and driving continuous improvement.
Connectable
Ready for data, just not connected yet.
These assets can be integrated digitally with minimal changes but aren’t currently feeding data into any system.
Examples:
- Forklifts with available power and mount points for BLE tags
- Weld stations with unused sensor ports
- Cabinets or freezers without active monitoring
- Tools stored in static locations without trackers
Thinaer quickly activates these assets using plug-and-play sensors—bringing them online for immediate visibility and value.
Offline
Manual, analog, or invisible.
These are legacy systems and manual processes with no digital footprint. They rely on human tracking, paper logs, or go entirely unmonitored.
Examples:
- Paper-based maintenance schedules
- Manual inventory checks in warehouses
- Analog pressure gauges
- Handwritten inspection logs
Thinaer digitizes the undigitized—capturing signals from the physical world and transforming offline processes into visible, measurable operations.
Thinaer Fills Manufacturing Data Blind Spots
Thinaer offers transformative solutions for asset and raw material tracking and the digital twin of any machine. Its automated system can be completely stand-alone and even air gapped where regulations dictate but has a secure intermediary approach for secure data sharing and integrating with ERP systems. Filling manufacturing data blind spots has never been easier.
Real World Use Cases
Making IIoT Work to Revolutionize Manufacturing
million in ROI
Creating a factory of the future for a fortune 100 DoD manufacturer generated $30 million in ROI.
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less unscheduled downtime
Tracking machine utilization to reduce equipment downtime for an aerospace manufacturer led to 15% less unscheduled equipment downtime.
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reduction in raw material waste
Precision monitoring raw materials to reduce waste for manufacturing company resulted in 9% reduction in raw material waste.
Find Your Blind Spots
Free 30-Minute Blind Spot Workshop
Discover how to gather data from IIoT, RFID, and even manual “blind spot” operations • Includes security tips • Learn benefits of tracking not just location, but real-time visuality into production • See how this data leads to smart predictions • Learn how to use AI to analyze your data • 11 techniques to uncover data in the 75% of your manufacturing that’s currently invisible • 5 ways to source the best transformative data partner • and more!
