We optimise the representativeness and diversity of your datasets, to avoid harmful biases in your end-product. A RAD dataset improves machine learning model performance through quantifiable and actionable quality metrics.
Our annotation expertise is centered on breaking your bigger problem into smaller, intuitive questions.
We annotate repeatedly until statistical significance is reached — providing you with a confidence score on every annotation.
Our Quality Assurance process is transparent, and customized precisely to your product. We detect and correct your most crucial errors.
Our global user base and pipeline design can scale to a level like no other.
Our solutions suit the needs for all industries with image-based Machine Learning needs.
