Self-powered IoT for water infrastructure
Real-time water intelligence — no battery, network-wide.
QPower builds self-powered, inline sensor nodes that monitor pressure, turbidity and water quality from inside high-pressure mains — streaming live data to an AI hub for leak detection, contamination alerts and AI-driven failure prediction.
The challenge
Water networks are running blind.
Aging infrastructure, climate stress and tightening regulation are colliding — while monitoring stays manual, infrequent and hard to reach.
Industrial & agricultural runoff
Ground and surface water contaminated by effluent and runoff — often in infrastructure that's difficult to access.
Climate change impact
Extreme, unpredictable weather disrupts supply, while groundwater quality declines under overuse and stress.
Leakage & aging pipes
Up to 30% of water is lost through leaks, with monitoring and testing still manual and infrequent.
Compliance & fines
Rising demand for frequent, auditable, digital reporting — and real penalties for emerging contamination violations.
The platform
One self-powered platform, end to end.
A rugged, modular sensing node that powers itself from the water it monitors — and an AI hub that turns the data into decisions.
Energy harvesting
Battery-free kinetic power capture from water flow, with a self-sustaining energy core.
Modular architecture
Rugged split-design certified for extreme operating environments up to 20 Bar, with interchangeable sensor modules.
TinyML at the edge
On-device machine learning for continuous anomaly detection and predictive node health — even offline.
Dynamic sensor suite
Interchangeable inline modules for pressure and turbidity today — with zero water waste and a roadmap to chlorine and pH.
Field telemetry
Secure, low-power wireless transmission over LoRa / LPWAN / BLE, optimized for remote infrastructure.
Cloud AI hub
Cloud-native streaming to a centralized AI hub with seamless dashboards and native SCADA integration.
How it works
From inside the pipe to the control room.
Self-powered node
An inline module harvests energy from the flow and tracks pressure & turbidity inside the main — no battery, no external supply.
Wireless telemetry
Measurements stream out over LoRa / LPWAN / BLE — low-power links built for hard-to-reach infrastructure.
AI hub & SCADA
The cloud AI hub fuses fleet data for root-cause analysis, predictive forecasting and instant alerts — integrated with existing SCADA.
Technology stack
TinyML at the edge. Intelligence in the cloud.
Smart enough to act alone on the node, powerful enough to reason across the whole network.
At the edge
Real-time sensing and decisions on the node itself.
- ✓Real-time multi-sensor fusionCombines all sensors for sharper local anomaly detection.
- ✓Adaptive local processingAdjusts sampling rates to balance power against accuracy.
- ✓Privacy & offline operationData stays local and works without network dependence.
- ✓Immediate alerting & self-poweredInstant local alerts, powered entirely by energy harvesting.
In the cloud
Fleet-wide learning that sees patterns no single node can.
- ✓Advanced anomaly detectionDeep learning identifies complex failure patterns across sensor types.
- ✓Cross-sensor root-cause analysisPinpoints failure locations using fleet-wide correlation.
- ✓Predictive forecastingAnticipates cascade failures weeks ahead.
- ✓Dynamic system optimizationInforms pressure, dosing and valve settings across the network.
Why QPower
The only self-powered, inline monitor.
Combining real-time water-quality detection and leakage analytics in a single in-pipe node — with zero grid dependency.
| QPower | Acoustic leak detection | RT quality monitoring | Manual / lab testing | |
|---|---|---|---|---|
| Inline (in-pipe) | Yes | No | Mostly no | No |
| Monitored vector | Quality + leakage | Leakage only | Quality only | Quality only |
| Pressure support | High (up to 20 Bar) | Low (≤6 Bar) | Requires reducer | N/A |
| Alert time | Immediate | After test | Immediate | After test |
| External energy | Not needed | Needed | Needed | Needed |
| Built-in AI | Edge + cloud | No | Limited | No |
| Relative cost | Low | High | High | High |
Technical validation
Moving from rigorous simulation to grid readiness.
An active field prototype is undergoing live operational testing inside Mekorot's high-pressure mains.
The opportunity
A large market, growing fast.
Smart water meter market — USD billions
Strategic partnership
Backed by Israel's National Water Company.
Mekorot is QPower's first pre-seed investor and active design partner — anchoring early credibility and giving us a live stream of high-pressure hydraulic data to train our edge AI.
ACTIVE FIELD PROTOTYPE · MEKOROT SITETop-tier validation
Backed by a utility recognized by Global Water Intelligence among the world's top 60.
Active field prototype
Hardware undergoing live operational testing at Mekorot utility sites.
The AI data foundry
Exclusive access to high-pressure mains for continuous calibration data.
Government backing
Supported by the Ministry of Energy & Infrastructure.
Roadmap
One platform, expanding outward.
The same inline architecture grows from two parameters today to a full multi-parameter decision system.
Pressure & turbidity
- Self-powered inline node, validated
- Off-the-shelf prototype in active testing
- Energy harvesting & BLE telemetry
Chlorine & pH
- Optical inline measurement, zero water waste
- Sapphire optical ports, full CNC manifold
- Passive Pitot loop — sample without a pump
Fleet AI & deployment
- Dense network of nodes across the grid
- Spatial-temporal anomaly detection
- AI decision engine, native SCADA integration
The team
Deep-tech operators and physicists.
Shimon Podval
Dr. Gabriel Seiden
Almog Brooker
Neta Chen
Sahar Azulai
Eran Hochstadter
Lior Blanka
Let's talk
Put eyes inside your network.
Whether you run a utility or invest in critical infrastructure, we'd love to show you what self-powered, inline monitoring makes possible.