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Use Case

Water quality: stay in control—even off-grid

Monitor water quality continuously, anticipate pollution, respond faster, and stay compliant.

En un clin d’œil

Issues

Aquifers, rivers, abstraction points: without continuous monitoring, pollution spikes go unnoticed and alerts come too late.

Solutions

Autonomous multi-parameter sensors connected by satellite. Continuous monitoring, with data transmission that doesn’t rely on terrestrial networks.

Impacts

Lower public-health risks. Fewer site visits. Automatic alerts. Compliance with new regulatory requirements.

Monitor your water resources,
from the ground to the network

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Issues

Invisible, but critical.

Pollutants infiltrate water systems (aquifers, rivers, reservoirs) without always being detected in time. This lack of data exposes populations, crops, and industrial facilities to underestimated risks, with consequences that often become visible only after the damage is done.

Diffuse pollution, poorly measured

Pesticides, nitrates, heavy metals, PFAS, pharmaceutical residues—many waterborne pollutants still slip under the radar. No wonder: spot checks are infrequent, slow to process, and impossible to trigger in real time. Meanwhile, pollution spreads.

Increasingly strict regulatory thresholds

The new European drinking water directive mandates strict monitoring of emerging pollutants—PFAS, microplastics, and pharmaceutical residues. Managers must trigger an immediate alert if a threshold is exceeded. And this tightening isn’t limited to Europe: worldwide, requirements are rising, inspections are intensifying, but tools are still lagging behind.

No network in sensitive areas

Even today, monitoring often relies on manual readings, slow, costly, and unresponsive. And in remote areas, rural boreholes, farmland, and nature reserves, no network exists to automate collection. Result: no transmission, no alert, no actionable remote data.

Invisible pollution

59 % of European rivers and 35 % of lakes exceed regulatory thresholds for PFOS, a “forever” pollutant (EEA, 2023).

Global exposure

80 % of diseases in developing countries are linked to contaminated water (WHO).

Risk aggravated by drought

Less water means higher pollutant concentration and higher treatment costs (CNRS, 2022).

Solutions

Monitor water quality anywhere, all the time.

With satellite IoT, you no longer wait days for lab results. Autonomous sensors transmit critical data continuously from any point in the network—even in dead zones.

Seamless connectivity

Direct satellite transmission, even without terrestrial networks.

No local relay or gateway needed.

Continuous monitoring

Near real-time measurements, nitrates, PFAS, pH, turbidity…

Detect anomalies before they become critical.

Risk
reduction

Automatic alerts as soon as a threshold is crossed.

Fewer pollution events, faster responses.

Ready-to-use
data

Time-stamped data integrated into your business tools.

Actionable reports for audits, compliance, and alerts.

Impacts

Tangible benefits for your monitoring sites

Fewer blind spots, more vigilance

Without continuous monitoring, a pollution spike can go unnoticed for days. PFAS, nitrates, abnormal turbidity… In the absence of data, risks multiply. Thanks to satellite IoT, the most exposed sites are finally monitored without interruption

Reliable alerts to help you prioritize

As soon as a critical threshold is crossed, an alert is sent automatically. This doesn’t necessarily trigger an immediate intervention—but it enables informed decision-making, a targeted sample collection, or an adjustment to treatment.

Better resource allocation

No more systematic sampling at every point. Transmitted data lets you focus on priority sites. Rounds are optimized, resources are better allocated, and inspections are more relevant.

Stronger traceability for your audits

Every data point is time-stamped, secured, and exploitable. These histories make it easier to prepare reports, justify compliance, and communicate with regulatory authorities. Real time savings without sacrificing rigor.