FAQs

Pricing is based on monitoring points, production lines, and facility scope. The model aligns costs with operational value and material waste reduction. Detailed pricing structure and ROI modeling are available on 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 planning systems by providing real-time process visibility and anomaly detection. It does not replace production scheduling, order management, or inventory systems.

Most facilities see measurable material waste reduction and throughput improvement within the first 90 days. Full ROI, including energy savings and quality gains, typically occurs within 12 to 18 months, depending on facility scope and baseline performance.

All data is encrypted in transit and at rest. SensFlo operates within your facility network security framework. Access controls are role-based and configurable. Data does not leave your operational environment unless explicitly authorized.

Yes. SensFlo is designed to work with both modern automated systems and older textile machinery. Sensors monitor process variables independently, providing visibility without requiring equipment upgrades.

SensFlo uses retrofit sensors that monitor humidity, tension, laser precision, and line speed across cutting, dyeing, and finishing operations. No equipment replacement is required. Installation connects to existing facility network infrastructure.

Initial sensor installation typically completes within 3 to 4 weeks for a standard textile operation. Full data integration and AI-driven insights are operational within 60 to 90 days. Deployment is modular, allowing phased rollout across production lines.

Pricing is based on monitoring points, facility scope, and operational complexity. The model aligns costs with compliance protection and operational value. Detailed pricing structure and ROI modeling are available on our pricing page.

Implementation requires coordination with production, quality, 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 quality management systems by providing real-time environmental visibility and anomaly detection. It does not replace batch tracking, recipe management, or regulatory documentation systems.

Most facilities see measurable product loss reduction and compliance improvement within the first 90 days. Full ROI, including energy savings and throughput gains, typically occurs within 12 to 18 months, depending on facility scope and baseline performance.

All data is encrypted in transit and at rest. SensFlo operates within your facility network security framework. Access controls are role-based and configurable. Data does not leave your operational environment unless explicitly authorized.

Yes. SensFlo is designed to work with both modern and older food processing systems. Sensors monitor environmental and process variables independently, providing visibility without requiring equipment upgrades.

SensFlo uses food-grade sensors that monitor temperature, humidity, moisture, and pH across processing and storage environments. Installation does not require equipment replacement and connects to existing facility network infrastructure.

Initial sensor installation typically completes within 3 to 4 weeks for a standard processing facility. Full data integration and AI-driven insights are operational within 60 to 90 days. Deployment is modular and designed to minimize disruption to production schedules.

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.

Pricing is based on machine count, monitored variables, and facility scope. The model is designed to align costs with operational value. Detailed pricing structure and ROI modeling are available on our pricing page.

Implementation requires coordination with maintenance and production teams. SensFlo provides on-site training and support during installation. No specialized data science or IT resources are required for day-to-day operation.

No. SensFlo complements existing MES and ERP systems by providing real-time operational visibility and anomaly detection. It does not handle production scheduling, order management, or quality documentation.

Most facilities see measurable scrap reduction and tool life extension within the first 90 days. Full ROI, including downtime reduction and energy savings, typically occurs within 12 to 18 months depending on facility size and baseline operational maturity.

All data is encrypted during transmission and at rest. SensFlo operates within your existing network security architecture. Access controls are role-based and configurable by facility management. Data does not leave your operational environment unless explicitly authorized.

Yes. SensFlo is designed to work with both modern CNC systems and older machining centers. Sensors monitor process variables independently of machine control systems, providing visibility without requiring equipment upgrades.

SensFlo uses retrofit sensors that attach to existing CNC machines, coolant systems, and environmental monitoring points. No equipment replacement is required. Installation connects to standard network infrastructure already in place.

Initial sensor installation typically completes within 2 to 3 weeks for a standard machine shop. Full data integration and AI-driven insights are operational within 60 days. Deployment is modular, allowing phased rollout across production lines without disrupting ongoing operations.

Yes. SensFlo supports multi-plant deployments with enterprise-level dashboards that aggregate data across facilities while maintaining plant-specific operational control and customization.

Pricing scales by machine count, monitored variables, and facility scope. The model is designed to align costs with measurable operational value. Detailed pricing structure and ROI modeling are available on our pricing page.

Implementation requires coordination with production and maintenance teams. SensFlo provides onsite training and deployment support. No specialized IT infrastructure or data science teams are required for ongoing operation.

All data is encrypted in transit and at rest. SensFlo operates within your existing network security framework with role-based access controls. Data does not leave your facility environment unless explicitly authorized.

Most facilities see measurable improvements in scrap reduction and process stability within the first 90 days. Full ROI, including throughput gains and energy savings, typically occurs within 12 to 18 months, depending on facility scale and baseline operational maturity.

No. SensFlo complements existing MES and ERP systems by providing real-time operational visibility and anomaly detection. It integrates alongside your current systems without replacing production scheduling, order management, or quality tracking infrastructure.

Initial sensor installation typically begins within 2 to 4 weeks. Full operational visibility with AI-driven insights is established within 60 to 90 days, depending on facility scope and equipment complexity. Deployment is phased to minimize production disruption.

SensFlo is designed for metalworking, plastics, food and beverage, and textile manufacturing facilities. The platform works with both legacy equipment and modern machinery, providing modular deployment without requiring full system replacement.

Data stays on your network. You stay in control.

Under one hour per machine.

Our alerts are highly customizable based on available machine data or sensors. Common triggers include upper and lower thresholds for vibration and temperature or a significant rate of change in these parameters.

Our dashboards display both raw and extrapolated data collected from your machines. If connected to a machine PLC (Programmable Logic Controller), we can map the data accordingly. Machines using protocols like MT Connect or OPC UA can also be integrated.

Yes, each user has a dedicated username and password, with access permissions tied to specific facilities. Additionally, module access is role-based, ensuring that sensitive data, such as financial information, is only accessible to authorized personnel like managers.

The data can be processed from the edge IOT device to the backend AI data processing engine, to the frontend of the FloControl platform in a matter of seconds to minutes.

No, our devices are designed to withstand electromagnetic interference. Our engineering team can provide solutions tailored to specific requirements.

The range depends on the facility’s Wi-Fi infrastructure, similar to how a smartphone connects to Wi-Fi. The device’s connectivity is influenced by the wireless router, not the device itself.

Our system supports both Wi-Fi and Ethernet. Additionally, it can connect via cellular networks.

By default, we host data on our cloud. However, custom cloud or on-premise configurations can be deployed for an additional cost.

Our pricing is $100 per machine per month.

The number of machines and inputs depends on your specific setup. Typically, SensFlo devices support up to 8 analog inputs, while digital inputs have no limitations when using Ethernet to split and process signals.

Yes, our system calculates OEE in real-time by comparing both reported/scheduled and measured/scheduled data.