BasicAI launches out of stealth to provide high-quality training data for artificial intelligence modeling

BasicAI, an artificial intelligence startup entrant in the training data annotation software and services market, today announced its official launch at the international CVPR event in Long Beach, California. CVPR is one of the largest annual gatherings of AI professionals from around the world covering every aspect of the Computer Vision, Machine Learning and Artificial Intelligence industry.

Founded by Tyler Schulze, the Irvine, California-based BasicAI provides a unified platform for training data creation and model iteration, with 16 types of annotation available across industry segments. The startup specializes in high-quality training data solutions for the Artificial Intelligence and Machine Learning industry. The BasicAI platform is a powerful suite of software tools enabling enterprise clients to seamlessly create and manage data labeling projects, sourced to a large global community of expert annotators.

BasicAI is a data solution provider with deep expertise in AI/ML data collection and annotation. Its proprietary platform currently enables 16 types of data annotations with application to the Autonomous Driving, Retail, Smart Home, Health Care, Security, and Education markets. BasicAI is devoted to being a world-class annotation solutions company with a focus on accuracy and cost-effectiveness. The company offers its customers the choice of either fully managed or crowdsourced services via its network of over 100,000 global annotation experts.

Labeled data is a key component of model training, validation, and iteration for supervised learning. As global demand increases rapidly for high-quality AI/ML training data, it is important for enterprises to focus on cost-efficiency while maintaining high levels of accuracy. Data security, customized workflows, and turnaround times are all key considerations for Data Science teams, and areas where BasicAI excels.

“Human annotation solution providers have had difficulty meeting market demands for volume, quality, security and cost,” said Tyler Schulze, CEO of BasicAI. “Our platform represents the next generation of training data creation, designed for maximum efficiency by utilizing a combination of machine learning and human review, enabling BasicAI to provide the highest quality labeled data at a fraction of historical costs.”

BasicAI has designed its data annotation platform for flexibility, efficiency, and fast turn-around times via a simple drag-and-drop, web-based interface for customers.