Spatialedge provides artificial intelligence (AI) products and services for consumer-facing businesses to empower them to make more timely, specific and profitable decisions.

We have developed over 170 solutions that deliver over R5 billion in business value, year-on-year. From providing data warehousing and data lake solutions, to developing and operationalising machine learning models, We provide a platform of tools to accelerate and deliver any use case.

Our expert teams of machine learning engineers, data engineers, data scientists and software engineers are able to solve difficult problems and deliver artificial intelligence systems to any business. 

Whether the technology is on-premise or in a cloud provider, we deliver successful solutions that solve your most valuable problems.

Spatialedge’s solutions seamlessly integrate business intelligence, location intelligence, big data technologies and machine learning models into tailor-made decision solutions. This convergence of technologies gives rise to data-driven, decision-first organisations: organisations that use data-driven decision support systems to direct business practices, marketing, new product development and operations with improved efficiency and economic benefit.

Reach out to see how we can assist you in adding revenue generating or cost optimising AI to your business.

AI/ML

Data Center

Enterprise Software

Spatialedge

Retief Gerber

Philip Perold

Deon Basson

Berndt Lindner

Izaane Nortje

Frank Ortmann

The Data and Machine Learning Team at Spatialedge is responsible for developing and operationalizing machine learning models, creating comprehensive data warehousing and data lake solutions, and integrating cutting-edge AI technologies into business operations. This team of skilled machine learning engineers, data engineers, and data scientists works together to deliver bespoke artificial intelligence systems that enhance decision-making, optimize costs, and generate revenue for consumer-facing businesses. Their expertise ensures seamless integration of business intelligence, location intelligence, and big data technologies to drive data-driven, efficient, and profitable organizational practices.

Data and Machine Learning Team

Leadership Team

Engineering Team

Data and Machine Learning Team

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Leadership Team

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