Data curation is the process of collecting, organizing, cleaning and enhancing data for further use. Properly curated Machine learning datasets can be the difference between a ML system that works in the real world and one that stays in the lab.
It is often said that "80% of Machine Learning is just Data Preparation." Perhaps we can help. We take your raw data, and curate a dataset that is representative of the problem at hand, is unbiased, and covers your edge cases.
Make sure your datasets are free of dangerous racial, gender and other biases.
Make your ML models fault-tolerant and trustworthy, by making sure your dataset includes edge cases.