We help companies build better AI.

Currently, AI models learn from human-annotated data. To feed the data-hungry models with millions of samples we require millions of humans doing manual annotation such as tagging images, drawing a rectangle around objects and transcribing speech to text.
We help companies training their AI models with less annotated data. We achieve this by filtering the raw datasets for redundant samples before the human annotation step. We can reduce the final dataset by up to 10x while keeping accuracy at a very high level. This saves our customers time and money.
We offer our customers a SAAS solution which they can either use on-premise or in our cloud application.