Mhlopheni Group is a South African data company. We collect and structure hard-to-reach information, analyse it, and build the datasets, dashboards and tools that put it to work.
Based in Ekurhuleni, Gauteng. Working with clients across South Africa.
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| Item | Size | Price (R) | Was (R) |
|---|---|---|---|
| Maize meal | 10 kg | 89.99 | |
| White sugar | 2.5 kg | 52.99 | |
| Sunflower oil | 2 L | 64.99 | 72.49 |
| Long grain rice | 2 kg | 38.49 | |
| Brown bread | 700 g | 17.99 |
Illustrative sample, not real store data.
Most data problems we see aren't modelling problems. The information exists, in scanned reports, weekly flyers and spreadsheets that don't agree with each other. It just can't be queried yet. We start where the data actually is.
Pull from PDFs, scans, websites, spreadsheets or people in the field, with a record of where every value came from.
Clean it and fit it to one schema, so units, dates, names and prices are consistent.
Find the patterns that matter to your decision, with the method written down so it can be checked.
Hand it over as a dataset, an API, a dashboard or an app: whatever your team will actually use.
Three kinds of work, often combined in one project. Every engagement has a fixed scope and a fixed price.
Getting information out of wherever it's stuck.
Publishers, edtech companies, research units, NGOs and app developers.
Making collected data answer a question.
Retailers, FMCG brands, unions, NGOs, research institutes and newsrooms.
AI applied to documents and structured data.
Firms with document backlogs, publishers, edtech and financial services.
We also build the software around the data: Flutter mobile apps, web dashboards, admin portals and APIs running on Cloudflare’s edge network. And we run practical training for teams who want to do more of this themselves.
Our own products and datasets. They’re where we test ideas before offering them to clients, and they show the kind of work we do.
Grocery price comparison for South African households. It finds the cheapest way to buy a whole basket across nearby stores, alerts shoppers when prices drop, and lets stokvels place group orders.
The basket is grounded in published household affordability research, so it reflects what families actually buy.
Flutter, Firebase, basket price optimisation
65 South African road signs with descriptions and high-resolution images, sorted into regulatory, warning, information, guidance and road-marking categories.
JSON, CSV and a browsable viewer. Ask about licensing at licensing@mhlophenigroup.co.za
TVET exam papers and memorandums side by side, so students can work through a paper and check answers without switching files.
Flutter, Cloudflare R2, D1 and Workers, React admin
A learner’s licence study app with 52 lessons, saved progress, and a practice test that unlocks once the material is covered.
Flutter, Firebase
Volatility, return distributions and risk-return profiles for five currency pairs, fed by our own API and refreshed automatically.
Cloudflare Workers API, JavaScript, Chart.js
Send a sample: a few PDFs, a spreadsheet export, or a description of what you collect and what you need from it.
Within five business days you receive a written scope, price and milestone dates.
You review real output as it’s built, not only at the end.
The data, the code, and a record of every source and transformation are yours.
We reply to every enquiry within two business days.
Personal information is part of most data work. We design for the Protection of Personal Information Act from the first line of code rather than adding it later.
Questions about how we handle information go to our Information Officer at privacy@mhlophenigroup.co.za.
Alongside client work we run an internal research programme on market data, quantitative modelling, payment systems and digital money.
It keeps our simulation, risk-modelling and data-engineering skills sharp, and it’s where product ideas are tested long before they reach a customer.
Our research is internal. Mhlopheni Group is not an authorised financial services provider and does not offer financial advice, investment or portfolio management, trading signals, trading software, or crypto asset services.
We’re a small team that works with skilled contractors, project by project. If you’re good at one of these, we’d like to hear from you.
See roles and applySend a sample or a short description. You’ll hear back within two business days.