Quantiix, formerly 3dSignals, brings years of proven experience helping manufacturers improve production performance through real-time machine data and operational intelligence.
Quantiix connects the physical world of manufacturing with AI, capturing real-time data from any machine, regardless of age, manufacturer, or PLC integration, in up to 90 minutes. It transforms that data into trusted production intelligence, giving manufacturers visibility into what’s happening today while enabling the transition to Physical AI that can learn, predict, and optimize production performance.
Trusted Production Optimization
Connect machines, people, data, and AI.
Learn machine patterns and context.
Anticipate issues before they happen.
Optimize production where impact matters most.
Connect what you have. Built for what comes next.
Every machine on the shopfloor, its state and availability, updated in real time.
Manufacturers around the world are already using Quantiix to optimize production, improve performance, and turn real-time machine data into measurable results.
Quantiix global presence
The next factory won't look different. It will think and act differently.
Quantiix connects the physical production floor with the data, context, and AI needed to understand what is happening, recognize emerging conditions, and support informed production decisions.
The machine. The floor. Then it connects back to you.
Capture machine signals through non-invasive current and acoustic sensing, without PLC integration or production downtime.
Connect machines regardless of age, brand, or type, creating a real-time data layer across the production floor.
Bring machine signals, production data, and operational context into one connected view.
Connect the production floor with the people and AI tools that need to understand what is happening.
Normal. Drift. And the parts made in between.
Train AI models on real production data to learn the unique patterns of each machine and process.
Capture production expertise through user-driven labeling, allowing teams to define what happened and why.
Learn what normal operation looks like, including machine states, production events, and operational context.
Use this learned knowledge to detect machine drift and recognize patterns associated with anomalies, quality issues, and machine degradation during production.
u
a
n
t
i
i
x
The scrap. The stoppage. The shift you can still save.
Identify and flag suspect parts while the job is running and emerging machine failures hours before a stop, giving teams time to act.
Use AI to identify patterns and emerging conditions based on what the system has learned.
Detect potential issues before they impact production, rather than only identifying what has already happened.
Predict production outcomes, including potential scrap, developing machine issues, and maintenance needs.
Give production teams earlier, actionable insights so they can intervene before an issue becomes a larger production problem.
The priority. The action. The performance that follows.
Use production intelligence and actionable insights to identify where improvement matters most.
Help teams focus improvement efforts on the factors that have the greatest impact on production performance.
Use learned production patterns and predictions to support better, faster production decisions.
Build toward increasingly adaptive and continuously optimized production.
Clip-on current and acoustic sensors. They clamp onto existing power leads with no rewiring, no PLC integration, and no production downtime.
Signals in, intelligence out. The dEdge converts analog machine signals to digital and uploads them, encrypted, to the cloud. One unit serves the machines around it, with no PLC integration.
Five ways Quantiix creates value on the factory floor
Real-time monitoring of machine availability and identification of bottlenecks.
Early detection of defective parts or scrap before the process is completed.
Early warning of emerging machine failures to help prevent unplanned downtime.
Work Order Management aligned with actual production execution.
Energy efficiency analysis at the machine, line, and plant levels.
From first sensor to live production data, on any machine, at any age.