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The Data

South Africa doesn’t suffer from a lack of effort. It suffers from a lack of visibility.

Every day, thousands of infrastructure events happen across our cities, leaks start, roads deteriorate, outages spread, repairs succeed, and patterns form. Historically, these moments disappear into phone calls, complaint logs and disconnected systems.

CityMenderSA changes that.

We convert real-world infrastructure activity into structured, measurable intelligence. Each reported issue becomes a verified data point. Each update becomes a timeline. Each resolution becomes performance insight.

With thousands of logged incidents and millions of infrastructure signals processed, we are building one of the most detailed live civic infrastructure datasets in South Africa, created not in offices, but in communities, with our patent-pending platform. 

 

We do not collect personal behavioural data.

We collect infrastructure reality.

For organisations committed to long-term planning, risk management and public benefit, access to this intelligence is available through structured partnerships.

From the Founder

Keyuren Maharaj

When you stand in a community hall and people start talking about service delivery, you hear frustration, but underneath it, you hear something else.

You hear uncertainty.

No one actually knows what the real situation is.


Is it getting worse? Is it improving? Which areas are failing repeatedly? Which departments are fixing things faster? Where will the next failure happen?

For decades, decisions were made based on complaints and perception.

We decided to change that.

CityMenderSA exists to give South Africa memory, a living record of infrastructure behaviour. Not opinions. Not politics. Patterns.

Because once you can measure reality, you can manage it.

The long-term future of our cities won’t be fixed by louder complaints or bigger budgets alone.


It will be fixed by understanding risk early, prioritising correctly, and coordinating public and private effort around shared evidence.

That’s why this data matters.


Not for curiosity, for continuity.

If we want sustainable cities, everyone must work from the same truth.

Community Use

Real Data - Real Impact

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Communities are the first to experience infrastructure failure, and historically the last to receive structured information about it.

Through CityMenderSA, communities move from reporters to participants.

Aggregated infrastructure insights allow community organisations to:

  • Identify recurring failure zones

  • Track response consistency

  • Prioritise advocacy using evidence

  • Measure improvement over time

  • Support cooperative engagement with municipalities

This is not about replacing government.


It is about strengthening accountability through shared visibility.

When residents understand patterns instead of isolated incidents, conversations change.


From complaints → to coordination.

Private & Institutional Partners

Next Level Infrastructure Data 

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Infrastructure behaviour directly affects economic stability, infrastructure exposure, logistics reliability and investment confidence.

CityMenderSA enables something South African cities have rarely had: a shared operational picture.

CityMenderSA infrastructure intelligence provides partners with structured, location-based risk understanding, derived from real incidents, not projections alone.

Available datasets and insights can support:

  • Risk modelling & insight

  • Infrastructure exposure analysis

  • Faster preventative maintenance initiatives

  • Targeted infrastructure investment

  • Service coverage planning

  • Long-term urban investment decisions

  • Early warning indicators and trends

Not every data point is commercialised, but the structured majority can inform better decisions that ultimately benefit both business and residents.

Sustainable public-private cooperation is how cities move from crisis management to long-term reliability. CityMenderSA exists to provide the shared insight that makes that cooperation possible.

Public-private cooperation works best when both sides operate from the same operational picture.

We provide that picture.

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