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Ofer Tenenbaum, CEO of meter.me, talks about bringing LoRaWAN into one of the toughest real-world environments: rural water infrastructure. Instead of focusing on radio specs or backend architecture alone, Ofer approaches IoT as a UX problem. His mission is to “friendlify” complex systems so plumbers, pump installers, and ranch operators can deploy and manage LoRaWAN without needing to understand SNR, payloads, or networking jargon.
The conversation begins with the scale of water loss in rural environments, where silent leaks can multiply annual usage by hundreds of percent. Ofer explains why visibility, not just connectivity, is the first step toward solving these losses. From there, he outlines how meter.me combines monitoring and control, effectively operating in SCADA territory where reliability is non-negotiable. Water for cattle, irrigation, and fire suppression demands backend redundancy, disciplined change management, and a deep respect for LoRaWAN’s constraints.
A major focus of the discussion is how AI fits into industrial IoT. Rather than using AI as a marketing layer, meter.me deploys it for anomaly detection and conversational setup, allowing installers to configure automation through natural language instead of complex forms and thresholds. Ofer also shares how constant user observation, field visits, SaaS interaction analytics, and structured feedback loops shape product evolution.
This episode offers practical insight for LoRaWAN business leaders, engineers, and system integrators: real differentiation often comes not from the radio, but from how seamlessly the technology fits into the workflow of the people using it.
Ofer on LinkedIn
Meter.me
By MeteoScientificOfer Tenenbaum, CEO of meter.me, talks about bringing LoRaWAN into one of the toughest real-world environments: rural water infrastructure. Instead of focusing on radio specs or backend architecture alone, Ofer approaches IoT as a UX problem. His mission is to “friendlify” complex systems so plumbers, pump installers, and ranch operators can deploy and manage LoRaWAN without needing to understand SNR, payloads, or networking jargon.
The conversation begins with the scale of water loss in rural environments, where silent leaks can multiply annual usage by hundreds of percent. Ofer explains why visibility, not just connectivity, is the first step toward solving these losses. From there, he outlines how meter.me combines monitoring and control, effectively operating in SCADA territory where reliability is non-negotiable. Water for cattle, irrigation, and fire suppression demands backend redundancy, disciplined change management, and a deep respect for LoRaWAN’s constraints.
A major focus of the discussion is how AI fits into industrial IoT. Rather than using AI as a marketing layer, meter.me deploys it for anomaly detection and conversational setup, allowing installers to configure automation through natural language instead of complex forms and thresholds. Ofer also shares how constant user observation, field visits, SaaS interaction analytics, and structured feedback loops shape product evolution.
This episode offers practical insight for LoRaWAN business leaders, engineers, and system integrators: real differentiation often comes not from the radio, but from how seamlessly the technology fits into the workflow of the people using it.
Ofer on LinkedIn
Meter.me