What slows plastics operations down
What SensFlo monitors
When stability improves, margins follow
Reduced scrap
Process stability in temperature and pressure reduces scrap rates, depending on part complexity and material type.
Higher yield
Consistent cycle times and pressure profiles increase first-pass yield, reducing rework and improving delivery predictability.
Lower material waste
Visibility into purge waste and startup scrap reduces material costs without impacting production output.
Reduced downtime
Early detection of temperature drift and pressure anomalies reduces unplanned stops and maintenance costs.
From installation to insights
Three proven steps to transform your manufacturing operations
Sense
Plug-and-play IoT sensors attach to any machine in as little as one minute. Capture real-time data with zero integrations or downtime.
Under 60 seconds per machine
Works with any equipment
No wiring or programming
Analyze
FloControl™ processes thousands of data points per second, turning raw signals into actionable manufacturing intelligence.
Real-time pattern detection
Predictive maintenance alerts
Automatic anomaly detection
Optimize
Transform insights into results with automated alerts, operator tools, and proven workflows that drive continuos improvement.
Smart alert routing
Operator workflow tools
20% min utilization gains
Operational control is a financial strategy
Book a call and see how SensFlo scales with your production environment
Other industries
Common questions
Direct answers to key operational and financial questions
Pricing is based on machine count, monitored variables, and facility scope. The model aligns costs with operational value. Detailed pricing structure and ROI modeling are available on our pricing page. For more information, be sure to check out our Pricing page!
Implementation requires coordination with production and maintenance teams. SensFlo provides onsite training and deployment support. No specialized IT or data science resources are required for ongoing operation.
No. SensFlo complements existing MES and ERP systems by providing real-time process visibility and anomaly detection. It does not replace production scheduling, order management, or quality tracking systems.
Most facilities see measurable scrap reduction and material waste improvement within the first 90 days. Full ROI, including throughput gains and downtime reduction, typically occurs within 12 to 18 months, depending on facility scale and baseline performance. Feel free to use our ROAI calculator for a rough estimate.
All data is encrypted in transit and at rest. SensFlo operates within your network security framework. Access controls are role-based and configurable. Data does not leave your facility environment unless explicitly authorized.
Yes. SensFlo is designed to work with both modern and older injection molding machines. Sensors monitor process variables independently of machine controllers, providing visibility without requiring equipment upgrades.
SensFlo uses retrofit sensors that monitor temperature, pressure, and cycle data from existing injection molding machines and auxiliary equipment. No machine replacement is required. Installation connects to standard facility network infrastructure.
Initial sensor installation typically completes within 2 to 4 weeks for a standard injection molding operation. Full data integration and AI-driven insights are operational within 60 to 75 days. Deployment is modular, allowing phased rollout across production lines.
