
Emerge is an AI solutions company that leverages its proprietary 'Dragon' platform, developed over 20 years of research, to build machine-learning models. These models are designed to extract value across various business functions such as fraud detection, customer retention, marketing optimization, and credit risk assessment. The company differentiates itself by its ability to deliver highly accurate models rapidly, often in hours or days instead of months. Emerge's approach emphasizes not only the AI technology but also understanding valuable business problems, optimizing data utilization, and ensuring real-world implementation with human integration. They have a history dating back to 2002, with Laurence Rau (CEO) and Danny (Chief AI Officer) as co-founders. The company serves industries including Financial Services, Insurance, Healthcare, and Retail.

Emerge is an AI solutions company that leverages its proprietary 'Dragon' platform, developed over 20 years of research, to build machine-learning models. These models are designed to extract value across various business functions such as fraud detection, customer retention, marketing optimization, and credit risk assessment. The company differentiates itself by its ability to deliver highly accurate models rapidly, often in hours or days instead of months. Emerge's approach emphasizes not only the AI technology but also understanding valuable business problems, optimizing data utilization, and ensuring real-world implementation with human integration. They have a history dating back to 2002, with Laurence Rau (CEO) and Danny (Chief AI Officer) as co-founders. The company serves industries including Financial Services, Insurance, Healthcare, and Retail.
What they do: Build industry-focused AI/ML solutions on a proprietary 'Dragon' platform
Headquarters: Johannesburg, South Africa
Founders / leadership: Laurence Rau (CEO, co-founder) and Danny (Chief AI Officer, co-founder)
Industries served: Financial services, insurance, healthcare, retail
Applying ML to business problems across fraud, credit risk, retention, marketing optimization and forecasting.
2012
Data and Analytics
16363
Investors referenced: Startupbootcamp, Startupbootcamp InsurTech London