Real-time machine monitoring software, built for the shop floor

Manufacturers calculate OEE by multiplying Availability x Performance x Quality. Availability measures runtime against planned production time, Performance compares actual speed to ideal cycle time, and Quality measures good output against total output. With IoT data, continuous machine signals replace manual shift log estimates, giving teams more accurate downtime, cycle time, idle time, and production behavior data for each asset, shift, or line.

In TPM, the goal is to keep equipment productive by reducing losses before they interrupt production. IoT supports TPM by capturing real-time sensor data from machines, then using that data to detect early signs of faults such as vibration changes, temperature shifts, abnormal cycles, or repeated stops. FloControl turns those signals into production and maintenance visibility so teams can reduce unplanned downtime and protect throughput.

Machine utilization measures how effectively equipment is used during planned production time and is closely tied to the Availability component of OEE. The primary gap IoT monitoring addresses is availability loss, including downtime, idle time, setup overruns, and stoppages that reduce sellable output. In discrete manufacturing, 60% OEE is often typical, while 85% is considered world-class, showing how much capacity can be recovered from existing machines.

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.

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.