YData provides a data-centric platform to accelerate the development and increase the RoI of AI solutions, by improving the quality of the training datasets. It is an end-to-end data development solution hostable on cloud environments (Azure, AWS and GCP) or on-prem.
It includes a set of integrated components for data ingestion, standardized data quality evaluation and data improvement (leveraging state-of-the-art synthetic data generators and other tools), allowing an iterative improvement of the datasets used in high-impact business applications.
The Platform has 4 main modules:
Accessing this functionality is possible via a web-based dashboard, complemented via YData’s Python SDK (offered in Labs).
<aside> 💡 While each module provides value by itself, when used together they enable a compelling data-centric narrative arc that goes from data exploration towards data improvement, while abstracting away shared core needs like infrastructure, data access and user/workspace management.
The figure below illustrates the suggested Data-Centric usage flow leveraging all the Platform’s components.
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