Labeling is a bottleneck in many use cases. With us, this is no longer the case. We provide large-scale progammatic labels, which help you implement highly beneficial use cases.
Labeling tasks can be very time costly which delays the deployment of machine learning solutions. We aim to assist you in speeding up the data labeling process so you can build models in days, not weeks.
Common data privacy regulations forbid the transmission of sensitive data to labeling services. In these cases, labeling must be done in-house. With onetask, this is no problem at all. Use our on-premises solution to leverage your labeling.
We faced that requirements can change in a Machine Learning project. This also accounts for labeling. That is why we built our platform to treat labeling as an evolving procedure.
When talking about Supervised Learning, labeled data is pure gold. Keeping it in a simple text file or as a column in an Excel spreadsheet does not live up to its value. With onetask, your labels are properly organized and easy to access.
Current platforms take big fees for labeling data without guaranteeing that your labeled data will be what you expect it to be. We take a different approach, ensuring your ROI on labeling will be worth!