
DataTorch is a scalable AI development platform that accelerates machine learning model building by managing files across distributed storages, organizing and annotating datasets, and automating workflows. It offers a modular, flexible toolset including Projects, Datasets, Annotator, and Pipelines to streamline AI development for teams and enterprises. The platform supports collaboration with centralized project management, fine-grained permissions, and integrates seamlessly with existing tools via GraphQL API and Python client. DataTorch targets research and development teams globally, providing cloud storage and self-hosted options with enterprise-grade security and compliance features.

DataTorch is a scalable AI development platform that accelerates machine learning model building by managing files across distributed storages, organizing and annotating datasets, and automating workflows. It offers a modular, flexible toolset including Projects, Datasets, Annotator, and Pipelines to streamline AI development for teams and enterprises. The platform supports collaboration with centralized project management, fine-grained permissions, and integrates seamlessly with existing tools via GraphQL API and Python client. DataTorch targets research and development teams globally, providing cloud storage and self-hosted options with enterprise-grade security and compliance features.
Core product: Dataset management, collaborative annotator, and ML workflow automation
Integrations: GraphQL API and Python client; cloud and self-hosted deployment options
Target users: Research and development teams building computer vision and ML models
Team size (reported): 2 employees
Total funding (reported): USD 250,000
Dataset management, data annotation, and automation of ML development workflows for computer vision and machine learning projects.
Artificial intelligence / Machine learning tooling
USD 250,000
Reported total funding and last funding date correspond to pre-seed
“Newchip Accelerator listed as a funder”