Pick the one closest to what's actually on your desk. We'd rather spend the first call on your problem than on our product.
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{{ item.linkText }} →You keep your sensors, your SCADA, your lab. What changes is what happens in the moment something starts to shift, and what you're able to show afterward.
Continuous water-quality signal replaces the gap between scheduled lab samples, so a shift in conditions doesn't sit unnoticed for days.
A signal move triggers physical autosampling automatically, confirming the event before it becomes an intervention, a call, or a report.
Signal and sample sit alongside your own SCADA, GIS, and lab data, so what you did, and why, is documented as it happens, not reconstructed after.
As we observe your network over time, this layer will build a causal understanding of its behaviour: earlier warning when something is developing, and a recommended action attached to it, not another number to interpret yourself.
A single contamination event, caught by regulatory sampling rather than before it, runs into the tens of millions once response, compensation, and enforcement are counted. Continuous visibility is priced at a small fraction of a treatment works' annual operating cost, with no capital outlay and a two-week install. We laid out the full economics, the enforcement exposure by jurisdiction, and the breakeven case, with sources.
Every one of these stays exactly where it is. Aqua Insights reads alongside them.
Most of the utilities we talk to have already done the math on what one avoided compliance event is worth, or what a few points off reactive operating cost would mean. We'd rather understand where it actually applies on your network than make that case in the abstract.
Our commercial focus today is regulated drinking-water utilities. The same sense, confirm, decide logic applies more broadly, and these are the adjacent markets we're exploring.
Reuse and greywater systems carry their own microbial-risk profile, and face the same gap between periodic testing and continuous operational visibility as drinking-water distribution.
Frameworks that classify water infrastructure as critical raise the same requirement drinking-water utilities already face: continuous visibility, not periodic compliance sampling alone.
High-consequence sites depend on internal water systems where a contamination event carries an outsized cost. The same detection and decision logic applies at building scale.
Operators managing both process water and adjacent critical infrastructure face comparable visibility gaps to municipal utilities, with their own risk and compliance context.
These verticals are not part of what we deliver today. If one of them is closer to your situation than drinking water, tell us, and we'll be straightforward about where we actually stand.
Our sensors have operated inside live utility infrastructure, not just a lab bench. They have been exposed to seasonal change, pressure events, network interventions, and weather, producing real production data throughout.
The understanding that comes from time in the field doesn't happen in a controlled test environment. It carries forward into every network we deploy next.
See what this can look like in your network — request a demo →Aqua Alarm is a Norwegian deep-tech company building the operational intelligence layer for water networks. The team combines water science, causal AI, and utility operations experience.
This is a short, informal conversation about the risk you're managing and where the actual gaps are. We'll take it from there.
The fastest way to reach us is directly. Tell us what's on your desk, in your own words, and we'll take it from there.
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