Rendered.ai is a platform-as-a-service for data scientists, data engineers, and developers who need to create and deploy unlimited, customized synthetic data generation for machine learning and artificial intelligence workflows, reducing expense, closing gaps, and overcoming bias, security, and privacy issues when compared with the use or acquisition of real-world data.

Nathan Kundtz, CEO of Rendered.ai, discusses the importance and need for synthetic data and the specific challenges it solves, particularly in the GEOINT community. He goes on to address the negative stereotypes of synthetic data and the successes that can be achieved with it. He describes the different types of imagery data they have been able to produce including SAR, infrared, and even hyperspectral. He also explores the obstacles the industry still needs to address in regards to AI and ML in the industry.