Questions utilities, partners, and residents actually ask

Maayan pairs low-cost solar pressure sensors with AI to find water leaks before they are lost, and to track illegal water consumption from flowing unregistered taps using pressure tendencies across the network. The sensors don't just detect leaks — they also proactively predict leak tendency well before a leak happens, from asset condition and live hydraulics, and let residents know which taps are actually flowing. Hardware, AI, and a shared data stream serve the utility, a free citizen layer, and a government and regulator portal from the same network.

Maayan Water Technologies is a Cameroonian company building for African utilities and the residents they serve. Typical conversations are utility pilots, partnerships, ministry or regulator oversight, and press inquiries.

This site does not publish a unit price, a CFA figure, or a 20-node package cost. Price depends on pipe layout, LoRaWAN gateway coverage, and how crews will use alerts. There is no SIM card and no monthly cellular data fee. Twenty nodes is a sensible size to discuss for a first pilot — write via Contact and we will scope that cluster with you.

Nodes communicate over LoRaWAN. There is no SIM card and no monthly cellular data cost.

No. Installation uses a pressurised tapping saddle that clamps around the existing pipe — no pipe cutting, no service interruption.

No. The pressure sensor node is solar-powered, with an integrated solar panel.

The public line on this site is: built for African cost, proven in simulation, ready for the field. We do not claim a live utility contract or a completed street deployment here.

A solar-powered node periodically reads water pressure. An AI system trained on tens of thousands of simulated leak scenarios detects a deviation pattern consistent with a leak and localises it. Crews receive location, estimated size, and duration.

Yes. The same pressure tendencies across the network that flag a leak also let Maayan track illegal consumption: a flowing unregistered tap changes pressure in a way the system can detect and localise. No extra sensor type is required. This site does not publish detection rates or claim a completed street deployment.

Yes. The sensors don't just detect leaks — they also proactively predict leak tendency well before a leak happens, combining surveyed asset condition — age, material, wall thickness — with live hydraulic stress such as pressure drop and flow. Crews get a relative ranking for where to look first. Operators can enter surveyed pipe records. That ranking is not a calendar forecast of when a pipe will break. This site does not publish detection rates or claim a completed street deployment.

A secure, discreet oversight layer: a summary-level view of what is happening across the utilities registered under their jurisdiction — a country, or a state or region — without direct access to each utility's operational dashboard. That summary can include how many pipes sit at high leak tendency. That portal is a third output from the same sensor data, distinct from the utility-facing dashboard and the citizen-facing layer. This site does not claim a live ministry contract or a public login.

The same network can tell a resident which nearby tap is flowing — by live map, WhatsApp, or SMS — without a second investment. That citizen layer is free. The same data also feeds a utility dashboard and a government and regulator portal. No existing commercial platform in this space, as stated here, offers that three-output design.

Manual acoustic surveys remain the default across Africa — reactive, periodic, and labour-intensive. Maayan is built to be proactive, continuous, and affordable enough for utilities that could never afford global commercial platforms.

No such contract is claimed here. CAMWATER is cited because its Director General reported 53% of production lost (2023), and because the utility runs regular night patrols — including 42 leaks found in a single overnight patrol in Douala in January 2025. That describes the problem, not a signed pilot.

30–53% of treated water lost to leaks before billing across African utilities; about $800 million estimated annual continental loss (African Water Association, 40 countries). Those figures are the problem Maayan is built against, not results from a Maayan deployment.

Yes, as stated on this site: selected as an innovator for the Africa Water & Sanitation Systems Leadership Symposium 2026 (AMCOW, Government of Rwanda, IRC WASH, Kigali, August 2026), and accepted for oral presentation at the 7th IAHR Africa Congress 2026 (Kigali, December 2026, University of Rwanda). The Track record page links the official event sites.

Four Cameroonian founders, each with one discipline, all under 35 and still living in Cameroon: Team Lead / Systems Architect (hardware and systems), AI / ML Engineer, Network Engineer (LoRaWAN), and Data Scientist / WASH Analyst. This site does not publish founder names or photos.

A solar-powered pressure sensor node with sealed cable connections and LoRaWAN communication, installed with a clamp-on tapping saddle. Component part numbers are not published on this public site.

Use Contact — email or WhatsApp — and say you want to discuss a 20-node cluster. This page is a public starting point, not a portal or login. We will talk through coverage, crews, and the resident layer before any figure is agreed.