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Real-Time Machine Monitoring Software & AI Production Intelligence

Machine monitoring for modern manufacturing

SensFlo gives manufacturers real-time machine monitoring (OEE, downtime, and utilization on every machine and across every facility) plus AI that tells you why performance dropped, not just what happened.

Looking for your process instead of your industry? Browse Manufacturing Sectors ->
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benefits

One platform. Multiple production environments.

SensFlo delivers unified operational intelligence that directly impacts financial performance across manufacturing contexts
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Environmental monitoring

Track temperature, humidity, and atmospheric conditions that impact production consistency
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Process stability tracking

Monitor cycle times, pressure variations, and operational consistency in real time.
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AI-driven anomaly detection

Machine learning identifies emerging process deviations before they escalate

Performance stability drives financial results

Results vary by facility, production complexity, and baseline operational maturity. Operational ranges reflect measured outcomes across deployed environments. Level 3 figures include documented customer results.

12%+
Scrap reduction
Lower material waste through process stability and early anomaly detection.
11%+
Lower overtime
Reduced recovery labor due to fewer unplanned stops & less rework.
41.1%
Higher data reporting accuracy
Documented customer result after connecting planned ERP data with actual production data.
119%
ROI increase
Documented customer result in a deployment using real time CPQ to compare planned and actual production times.

Build stability into your operation

Book a call and see how SensFlo scales with your production environment

Frequently asked questions

Common questions

Direct answers to key operational and financial questions

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

Industries

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.

Industries

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.

Industries

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.

Industries

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.

Industries

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.

Industries

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.

Industries

SensFlo supports six industry verticals: automotive, aerospace & defense, medical device, food & beverage, consumer goods, and energy & industrials manufacturing. If your fit is better defined by production process, browse Manufacturing Sectors instead — metalworking, plastics, or textiles. The platform works with both legacy equipment and modern machinery, providing modular deployment without requiring full system replacement.

Industries