As the content is crowd sourced and overlaid with information from other sources, errors can be removed by users’ feedback and by our own AI processes within the system. Invalid objects can be quickly corrected and/or removed through our proprietary back-end algorithms and quality of the data improves over time.
AI assesses all new objects to ensure that they align with existing known data, and may modify or delete new data to improve the overall database integrity.
Each user’s submissions are tagged, and if a user consistently provides poor data, their past submissions can be reviewed.