Built for pits that nobody is watching: homes, schools and clinics beyond the sewer network.
Pit toilets in rural and informal settlements · South Africa
Know which pit is nearly full — before it fails.
Solar level, gas and tilt readings from each pit, plus photos, become a days-to-full forecast, a plain-language alert in the community's own language and a work order that a named person approves.
This solution requires current AI models to operate.
Why this matters
The 8-step causal cycle
Three classes of pit risk
Decision support only. Responsibility stays with the humans and authorities who approve action.
How it works: the Scenario Theatre
Pipeline: ingest → score → explain → pattern → verify → visualise → human decide.
Comparison Pilot test data
| Scenario | Trigger | Stage that caught it | Human decision | Outcome | Time to decision (run) |
|---|
AI Helpers and Cloud Helpers
Each role is matched to a model or service named as published by its provider. OpenAI names were read from its models page in November 2026; re-check them and the AWS and NVIDIA names before launch. Models are used where they fit and none is a partner or endorser.
How they talk to each other (3D)
Edge detector → scorer → alert writer → pattern analyst → vision verifier → notice generator → translator → Human Reviewer, with AWS ingest, storage, orchestration and messaging between them. The interactive 3D version is planned.
This solution requires current AI models to operate; the models listed (or their current equivalents) are essential to the production system.
3D model: the pit helper system
Real-time, physically based render: concrete, soil, steel, glass and polymer materials lit by a sky environment, with live shadows and reflections. Drag to orbit, scroll or pinch to zoom.
Click a part in the scene to learn what it does.
How this model works. The pit sits under a concrete slab with a vent pipe. A solar-powered sensor on the lid measures how full the pit is. The sensor sends the reading to a phone or tablet over the mobile network. As the slider moves up the pit fills, the light on the sensor changes colour and a service truck drives closer. In Assembly view the parts separate so you can see each one. Product close-up flies the camera to the TUS LABS level sensor, and Cutaway slices the ground open so you can see the level inside the pit. A person always decides before anyone is sent out.
Impact
Impact assessment
- Pits studied for the Water Research Commission typically filled at 200 to 500 litres a year, regardless of the number of users (WRC, 2012).
- As of a 2023 report, 2,333 Limpopo schools still had only pit toilets, and accurate data was lacking (Bhekisa, 2023).
- In 2022, over 1.5 billion people still lacked basic sanitation worldwide (WHO, 2024).
No pilot result is claimed yet. The pilot will measure time from first anomaly to approved action, share of alerts confirmed by a person, and work orders verified closed by a new reading.
H1: a days-to-full forecast moves emptying from complaint-driven to planned. H2: edge cross-checking keeps false alarms low. Measured: time to decision, share of alerts confirmed, overrule rate, work orders verified. Method: a fixed set of pilot pits with a baseline period, then monitored operation. Publication: results are published only once they exist.
Municipal work already runs on requests that a named official approves. The workspace keeps that step and adds evidence and a record. Courts have held authorities accountable for failed pits (Komape, 2019), so who decided what, and when, matters.
Evidence
Pit toilets are still in daily use across South Africa, especially in rural villages, informal settlements and schools. A pit does not announce that it is nearly full. Research for the Water Research Commission found pits typically fill at about 200 to 500 litres a year, but few municipalities monitor filling, and products sold to slow filling did not work. When a pit is full, overflows or its structure fails, the result ranges from disease and indignity to the deaths of young children, as the Supreme Court of Appeal and the Human Rights Commission have recorded. Residents report overflowing pits, but reports do not always become scheduled work. The ten sources below were each opened and read; the summaries are in our own words. They show the need. The pilot will measure how well the product meets it.
Why this solution is needed
| Finding | Source card | Product capability |
|---|---|---|
| Pits fill at different rates and filling is rarely monitored | E1, E2 | Solar level sensors, fill-rate scoring, days-to-full |
| No additive stops filling | E3 | Emptying triggered by measured level and approved by a person |
| A failed pit structure can kill a child, and it has happened more than once | E4, E5, E9 | Lid-tilt and ground-moisture alerts, photo check, escalation, audit trail |
| Residents wait while overflowing pits go unserviced | E6 | Prioritised queue, local-language alerts, work-order lifecycle with verification |
| Thousands of school pits remain and counts are disputed | E7, E8 | One time-stamped record per pit; interim monitoring while replacement proceeds |
| Poor sanitation harms health | E10 | Gas and overflow alerts, pictogram notices |
10 problems people have told us about
Coverage
Twenty areas across South Africa, with live weather fetched from Open-Meteo at each location. Status labels are company designations. Source: Open-Meteo, refreshed on load
| # | Area | Type | Status | Live weather |
|---|
About
Solution54 Sanitation Pit by TUS LABS
TUS LABS · Reg 2026/911664/07 · Private company · Registered with SARS · Registered for income tax on 12 November 2026
945 Pinehurst Place, Copperleaf Golf Estate, Centurion, Gauteng, 0157
Thabo Tshepang Molekoa, Director
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Legal and Privacy
Draft text for review by a South African attorney before launch. English legal text governs translations.