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IoT · Water

Aqua Int

Connect your entire water network in minutes, not months.

16protocol families out of the box
−80%fewer man-hours per source
15 minto bring a source online
more deployments, same team
The challenge

What it solves.

Every protocol is its own project

Connecting each source is a custom integration project that drags on for months.

Data trapped in silos

Information stays fragmented across silos, blocking informed decisions.

Fragile integrations

Every update is a risk — custom integrations break easily.

You catch leaks too late

Static dashboards refresh once an hour, so by the time you see an anomaly it's already too late.

What it does

Every feature, a business benefit.

16 protocols out of the box

Connect any source today — no custom development: MQTT, Modbus, OPC-UA, LoRaWAN, REST, SFTP and more.

AI that builds your connectors

Describe the device in plain language and the AI generates the full configuration — no programming required.

Guaranteed zero data loss

Store-and-forward with automatic quarantine: if the connection drops, everything is recovered.

A dashboard that tells the story

See your network's health in under 3 seconds, with animated KPIs and a connector table with live activity LEDs.

Live visual pipeline

See where every data point is at any moment: Raw → Canonical → Time Series → Output.

Limitless scalability

From 100,000+ readings per second to millions: a 3-node Kafka cluster absorbs massive spikes without dropping a single event.

AI that queries your data live

Through MCP, assistants like Claude or Copilot query your real data: ask and get a precise answer.

Multi-language and multi-platform

Spanish, English, French and Portuguese, with a dark mode for 24/7 operators and a compact mode for control rooms.

Specifications

The numbers, plainly.

Event backbone3-node Kafka cluster (KRaft)
MQTT brokerEMQX 5.8, up to 10M connections
ThroughputOver 100,000 readings/second per node
Capacity8B+ readings/day; up to 50M devices with hourly counters
SCADA sensors90,000 connected
StorageTimescaleDB with automatic compression, 70% less space, 15,000-30,000M rows per node
CacheRedis Stack with Bloom filter
Protocols16 factory families (MQTT, Modbus, OPC-UA, LoRaWAN, REST, SFTP…)
ScalingStateless workers, horizontal scaling
DeploymentDocker Compose (18 services in one command), Kubernetes-ready with manifests, CI/CD
How it is deployed

From signature to production.

01

Discovery

We map your sources, protocols and data volumes. This week.

02

Pilot

We install Aqua Int at one plant and connect your first sources. Configuration, not code. In 5 days.

03

Validation

You watch your data flow in real time: live dashboard and full traceability. Day 6.

Who it is for

A clear benefit for each role.

Finance

Cut man-hours per source by 80% and replace one-off custom integrations with a single, standardized platform.

Operations

Full real-time visibility into the network and early anomaly detection, all from a single panel for the entire operation.

Executive

Triple your deployments per year with the same team and go from months to weeks in time-to-market.

FAQ

Everything you need to know.

How long does it take to integrate a data source?

In most cases, 10 to 20 minutes: an MQTT source in 15 minutes, a Modbus PLC in 10 and a SCADA OPC-UA integration in 20 — versus the weeks or months traditional solutions take.

Do I need to change my current infrastructure?

No. Aqua Int integrates with what you already have: no need to replace equipment or modify your network. It supports 16 protocol families out of the box.

What happens if I lose connection to a source?

Zero data lost. It uses store-and-forward with automatic quarantine: if the connection fails, everything is stored locally and resent once it's restored.

Can I scale from 100 to 100,000 sensors without changing the architecture?

Yes. Stateless workers that scale horizontally: a single node handles over 100,000 readings/second, and you add nodes without rewriting anything.