SensoFLOW
In Development
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SensoFLOW

Smart IoT Monitoring for Energy and Infrastructure

SensoFLOW leverages IoT sensors to provide real-time monitoring of energy consumption, water usage, and infrastructure integrity. Detect anomalies like pipe bursts instantly, optimize resource usage, and prevent costly damage with intelligent alerting.

Powerful Features

Everything you need to transform your operations

Real-Time Energy Monitoring
Track electricity, gas, and water consumption in real-time with detailed usage breakdowns.
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Anomaly Detection
AI-powered alerts for unusual consumption patterns, leaks, and equipment malfunctions.
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Predictive Maintenance
Identify potential equipment failures before they happen with trend analysis and machine learning.
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Multi-Sensor Integration
Connect temperature, humidity, pressure, flow, and motion sensors from any manufacturer.
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Custom Alert Rules
Configure thresholds, escalation paths, and notification channels for different scenarios.
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Historical Analytics
Access historical sensor data with powerful visualization and reporting tools.

Transform Your Business

Real results that drive growth and efficiency

1

Reduce Energy Costs by 30%

Identify waste, optimize consumption patterns, and reduce utility bills with actionable insights.

2

Prevent Costly Damage

Detect pipe bursts, leaks, and equipment failures within seconds to minimize repair costs.

3

Improve Sustainability

Track and reduce your carbon footprint with detailed energy consumption reporting.

Perfect For

Industries and teams that benefit most

Manufacturing facilities monitoring production equipment

Commercial buildings optimizing HVAC and lighting

Food storage facilities maintaining temperature compliance

Water treatment plants detecting leaks and pressure issues

Retail stores monitoring refrigeration systems

Built on Modern Technology

Enterprise-grade architecture and security

Support for LoRaWAN, Zigbee, and WiFi sensors

Edge computing for low-latency processing

MQTT protocol for reliable data transmission

Time-series database for efficient storage

Machine learning anomaly detection

Mobile app with push notifications

Ready to Get Started?

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