In short: DataProphet, a Cape Town machine learning startup, won Mercedes-Benz South Africa’s Innovation Challenge in 2017 and has since grown into a global AI-for-manufacturing company, raising $16 million in funding and working with manufacturers across Japan, China, Europe and the Americas.
How did DataProphet get its start with Mercedes-Benz?
In 2017, Mercedes-Benz South Africa (MBSA) partnered with startup incubator LaunchLab to run an Innovation Challenge, searching for South African tech startups skilled at applying machine learning within manufacturing. DataProphet, founded in 2014 (some sources say 2012) by Frans Cronje and Daniel Schwartzkopff, who met at the University of Cape Town, was chosen as the overall winner. “The programme played a critical role in connecting us as a solution provider to MBSA,” said Isaac Matsa, sales executive at DataProphet at the time, crediting LaunchLab specifically for the introduction.
What does DataProphet’s technology actually do?
Its core product, OMNI, is an artificial intelligence system that determines optimal process parameter set points and control limits across complex, multi-step manufacturing processes. In practice, this gives engineers a dynamic process control plan that eliminates defects, reduces scrap and improves yield, moving manufacturers a step closer to autonomous manufacturing rather than relying purely on human analysis to catch quality issues after the fact.
How big has DataProphet actually grown since the Mercedes-Benz win?
Substantially. The company has raised a reported $16 million in funding from investors including Knife Capital, the IDC and Norican Group, and grew into a roughly 50-person team working with manufacturers across Japan, China, Europe, North America, South America and its home market of South Africa. What started as a single successful pilot with one automotive plant became a genuinely global AI-as-a-service platform for manufacturers.
Why did winning a corporate innovation challenge matter so much for a startup like this?
Startup incubators running challenges like MBSA’s Innovation Challenge function as a deliberate connector between startups and corporates, giving corporates structured access to vetted innovation while giving startups a credible route into a market that would otherwise be very hard to break into cold. DataProphet’s trajectory, from a single corporate pilot to a globally funded platform, is a concrete example of that connector model actually working as intended rather than just generating good PR for the corporate sponsor.
Is this kind of corporate innovation challenge still a viable path for South African startups?
DataProphet’s outcome suggests yes, when the startup has a genuinely strong technical solution and the corporate partner follows through with real deployment rather than treating the challenge as a one-off marketing exercise. The specific MBSA 2018 Ideas Challenge referenced when this piece was first written has since closed, but the broader model, corporate-sponsored innovation challenges connecting startups to real manufacturing problems, remains active across South Africa’s tech ecosystem.
Frequently asked questions
Is DataProphet still operating today?
Yes, and has grown substantially since its 2017 Mercedes-Benz win, now operating as a global AI-for-manufacturing company with tens of millions in funding raised.
What problem does DataProphet’s OMNI system solve?
It determines optimal process controls across complex manufacturing processes to reduce defects and scrap and improve yield, using machine learning rather than manual engineering analysis alone.
Who founded DataProphet?
Frans Cronje and Daniel Schwartzkopff, who met at the University of Cape Town and built the company around the idea that machine learning would become increasingly valuable to manufacturing businesses.
Originally published in October 2018. Updated September 2026.
