Entitlements repository for content from open datasets
About Me
Shukra.AI offers a repository of enrichments, for content from open datasets, extracted from popular pre-trained machine learning model.
Shukra processes data from CC-NEWS, and uses models from HuggingFace, Spacy etc to extract enrichments, making them available to a standard output format via rich APIs that can be invoked on-demand or in batch modes.
Shukra's processes the data at scale, optimizing for inference and operational efficiency, to deliver the enrichments near-real-time upon the content being available in the dataset, at an affordable cost.
I am available for
Customizations for proprietary and closed datasets. Custom models training and operation fort inference and operational efficiencies.