Know your borehole is failing before the queue does.
Solar sensors for water level, flow, temperature and GPS, plus a photo at the tap, feed edge anomaly detection. GPT-class models turn the signal into plain-language alerts in isiZulu, Sesotho, Setswana and English, and draft the notes for municipal and traditional-authority coordination. A named person decides every action.
Illustrative display — not a live reading.
Boreholes fail quietly. Then everyone queues.
Figures from the cited studies and reports on the Evidence page; they describe the problem, not results of this product.
Sense
Low-power probes, flow meters, a tap camera and GPS report from a solar-charged node. LoRaWAN where cellular is weak; cellular where it is strong.
Understand
A seasonal baseline plus an edge anomaly model flags drawdown, flow collapse, quality shifts and low power. A reasoning model explains the evidence.
Respond, with people
Alerts are drafted in four languages. A reviewer edits, approves or escalates before anything is sent or dispatched.
Drag the dry spell. Watch the borehole respond.
A full 3D village: pump, tank, tap queue, solar node and tablet. Slide the stress control and the water table drops, the flow weakens and the tablet turns from green to red. Pull it apart to see every part.
Live from the field: rainfall and temperature
Real data from Open-Meteo for our pilot areas. Rain is the context every borehole level reading needs.
Boreholes rarely fail loudly. They fail quietly, then everyone queues.
Studies of handpump boreholes across sub-Saharan Africa find that more than one in four are non-functional at any time, and about 30% of new sources fail within five years. In South Africa, more than 400 small towns and settlements depend wholly or partly on boreholes, and tens of thousands of new boreholes are drilled each year. Few are watched.
The 8-step causal cycle
Steps 2–4 are supported by field studies of 145 dismantled handpump boreholes (see Evidence). Steps 5–8 describe the response gap this product targets.
Three kinds of failure
Not enough water
Aquifer too thin, pump set too shallow, or levels falling in a dry spell. Level and drawdown sensing shows it early.
Something broke
Corroded rising mains, worn pump parts, power loss. Flow-versus-level logic separates a pump fault from a dry well.
Unsafe, or nobody knew
Conductivity shifts, contamination suspicion, no reporting line. Alerts reach named people and authorities.
From a dipping water level to a decision, in seven steps
- Sense. Submersible level probe, flow meter on the rising main, temperature and conductivity, GPS, and a tap-side camera on a solar-powered node.
- Transmit. LoRaWAN to a community gateway, or cellular. LoRa readings come in intervals of 15 minutes or more, so the design never depends on second-by-second data.
- Detect at the edge. A seasonal baseline and an anomaly model on the node or an NVIDIA Jetson gateway flag drift, flow collapse and power faults even when the link drops.
- Explain. A GPT-class reasoning model combines sensor trends, weather and photo review into a structured recommendation with evidence and a confidence score.
- Draft. A language model writes alerts in four languages; a coordination model drafts notes for the municipality, ward committee and traditional authority.
- Human decides. The reviewer approves, modifies, rejects, orders a field check or escalates. Nothing is sent or dispatched automatically.
- Act and learn. Approved actions become work orders and field tasks; outcomes feed back into the baseline.
Seven roles, one mandatory human
Each helper has one job, a defined input and output, and a planning cost range. Model families below are the classes this product targets; confirm exact names and availability in your cloud console at deployment.
How the models work together
3D: how the models talk to each other
Drag to rotate, scroll or use +/− to zoom, click a node for its task.
The borehole helper system
Switch between the full working system and a pulled-apart assembly view. Slide the dry-spell stress to watch the water drop, the flow weaken and the phone change colour.
Drag to rotate · scroll or +/− to zoom · values on this model are illustrative.
What the evidence says is at stake
Founder note
·
Impact assessment — the problem in numbers
Figures below come from the cited studies and reports. They describe the problem; they are not results from this product.
Exposure calculator
Simple arithmetic using a non-functionality rate you choose. The default of 25% reflects the “more than one in four” finding for handpump boreholes in Ethiopia, Uganda and Malawi; South African community boreholes will differ.
What the pilot will measure
- Time from first anomaly to human decision.
- Time from decision to repair or alternative supply.
- Share of alerts judged useful by the reviewer.
- False-alarm rate, by failure type.
- Days of service lost per borehole, compared with each site's own baseline.
Results will be published only once measured in the field.
Why boreholes need eyes
Groundwater is the main source of safe water for many rural communities. A borehole can look fine while its pump is set too shallow, its pipe is corroded or the water table is falling. Research teams that dismantled and tested boreholes found the same pattern again and again: failures are common, mostly preventable, and often unseen. The sources below are specific to boreholes and groundwater supply.
Links open the original publishers. Summaries are written in our own words from the pages' abstracts and text.
Ten short briefs
Twenty areas, live feed demonstration
Rainfall and temperature are fetched live from the Open-Meteo forecast API for each area's coordinates, because rain is the context a borehole level reading needs. Live means the area's feed is switched on in the pilot dashboard. Prospective means under discussion. Neither label claims installed sensors beyond pilot sites.
Dot colour: 7-day rainfall (darker blue = more).
| Area | Type | Status | Now °C | 7-day rain mm |
|---|
by
What we do
We build community-first, multi-language, traditional-authority-inclusive governance tools for borehole water: sensing, early warning and coordinated human response, designed for places where municipal SCADA does not reach.
Sediba means “well” or “spring” in Sesotho and Setswana.
Registration
Departments
Registration documents
Official SARS Notice of Registration for AZHI CONTINENTAL, issued 3 November 2026 and electronically certified by SARS as a true copy. Quote the taxpayer reference number when contacting SARS on 0800 00 7277.
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Terms, privacy and disclaimer
Last updated: 3 November 2026
1. Who we are
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2. What this website is
This website presents , a live testing product in pilot stage. Features, readings and outputs may change, be interrupted or be withdrawn without notice.
3. Personal data we collect, and why
The Contact form collects the name, email, optional phone, organisation, role and message you type. We use it only to reply to your enquiry. The form works by opening your own email app; this website does not send or store it on a server. The demo sign-in asks for an optional display name and role, kept in your browser's memory for the session only.
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This site is served over encrypted connections (HTTPS) when hosted correctly. We limit access to enquiry mailboxes to named staff, collect the minimum data needed, apply the retention limits above, and will notify affected people and the Information Regulator as required by law if a breach affecting personal data occurs. No system is perfectly secure; do not send identity numbers, bank details or health information through the Contact form.
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10. Disclaimer for a pilot-stage testing product
Content, readings, predictions and AI-generated drafts are provided for testing and information only. They are not engineering, hydrogeological, medical, legal or public-health advice, and must not be the sole basis for decisions about water safety, pumping, drilling or health. A human always decides, and verifies conditions on site before acting. AI outputs can be wrong, incomplete or mistranslated; translations must be reviewed by a fluent speaker before being sent. Sensors and networks can fail, and the system may not detect every fault.
11. Limitation of liability
To the fullest extent permitted by law, we are not liable for any loss, damage, illness or injury arising from use of, or reliance on, this website or the demo, including indirect or consequential loss. Nothing here excludes liability that cannot lawfully be excluded.
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