OUR APPROACH
Our approach is rooted in data and transparency. What started as a university research project has evolved into a full valuation platform — delivering instant, objective pricing for the South African used-vehicle market using Random Forest machine learning.
Recent valuations
A sample of vehicles priced through the Mutuka platform
BMW 3 Series — Premium band
Predicted: R 418 500
Toyota Corolla — Mid-Range band
Predicted: R 224 000
Volkswagen Polo — Economy band
Predicted: R 148 200
Mercedes-Benz C-Class — Luxury band
Predicted: R 612 000
Mutuka Automotive was built on a simple conviction: vehicle pricing in South Africa should be objective, instant and explainable. Our Random Forest model — trained on 201 real market vehicles — delivers exactly that.
Meet Our Team
The small, obsessive team keeping the lights on and the model accurate.
Sipho Nkosi
Chief Everything & Professional Storytelling Officer
Lerato Dlamini
Chief Money Wrangler
Yusuf Karriem
Head of Organised Chaos (Product)
Naledi Mokoena
Chief Bug Squasher & Coffee Drinker
Trusted by South African dealers
201
Vehicles valued
<2s
Valuation time
87%
R² accuracy
Interested in our valuation platform?
Let's discuss how we can price your fleet or individual vehicle — instantly, accurately, and with full confidence scoring.
At Mutuka Automotive, we believe every vehicle deserves a fair, data-driven price. Our Random Forest model evaluates 10 key specifications — engine size, horsepower, fuel economy, kerb weight and more — to deliver an objective valuation in under two seconds.
Our four price segments — Economy, Mid-Range, Premium and Luxury — each carry a specific approval workflow. Economy and Mid-Range valuations are auto-approved in real time. Premium and Luxury vehicles trigger a physical inspection before a signed certificate is issued.
How we value your vehicle
A four-step process from specs to signed certificate.
01
Submit vehicle specs via our dashboard or API.
02
Random Forest model scores 10 features instantly.
03
Price band assigned with confidence score.
04
Submit vehicle specs via dashboard or API.
What our model evaluates
Engine displacement, horsepower, cylinders, city and highway fuel economy, kerb weight, bore ratio, drive wheels and body style — 10 features explaining 87% of SA vehicle price variance.
The people behind the model
Sipho Nkosi, CEO
Chief Everything & Professional Storytelling Officer
Lerato Dlamini, COO
Chief Money Wrangler
Yusuf Karriem, CTO
Head of Organised Chaos (Product)
Naledi Mokoena, CFO
Chief Bug Squasher & Coffee Drinker
Manufacturer & data partners
Data sourced from leading South African automotive market platforms.
Key Metrics of
Our Valuation Platform
What the numbers say about our model accuracy and market coverage.
201
Vehicles in dataset
87%
R² accuracy
4
Price segments
Already trusted by fleet managers and independent dealers across Gauteng.
Get a valuation in under two seconds — or contact us to discuss fleet pricing.