Synthetic data platform Parallel Domain has recently announced the launch of Reactor, a state-of-the-art synthetic data generation engine that uses advanced generative AI technologies and proprietary 3D simulation capabilities. Reactor is aiming to provide ML developers with high-quality images and fully annotated data, thus resulting in more accurate and reliable outcomes in a variety of industries such as autonomous vehicles and drones.
Reactor was created with the help of generative AI technology and 3D simulations to produce detailed, realistic, and diverse synthetic data. In addition, the tool incorporates natural language prompts so that users can modify generated images with ease. Reactor equips ML developers with control and scalability, alleviating the need for custom asset creation and enhancing dataset diversity, particularly for rare classes. On top of that, Reactor also enabled the creation of diverse training environments, thus helping models to understand and respond better to various real-world conditions.
The company invites top executives in San Francisco on July 11-12 to discuss how AI investments are being integrated and optimized for success.
Parallel Domain is an AI-driven synthetic data platform founded in 2015 by CEO and Founder, Kevin McNamara. Mr. McNamara has been focused on using AI & ML to generate realistic yet accurate data. He has created a range of applications, such as autonomous robots, that use this data to become more reliable in real-world scenarios. He works with a team of experts in a variety of fields, such as computer vision and computer graphics, to develop AI platforms and software. He has invested and co-led various Series A funding rounds for startups in the ML space. He is currently directing the Modular Robotics Team at the University of British Columbia.
