DagsHub is a collaborative machine learning platform that enables teams to curate and annotate multimodal datasets, track experiments, and manage models in one place. DagsHub provides tools to transform large-scale vision, audio, and LLM (large language model) data into high-quality datasets to enhance AI model performance.
What does DagsHub offer?
DagsHub's platform consolidates several key aspects of the machine learning workflow:
- Dataset Curation and Annotation: Manage, annotate, and version multimodal data (images, audio, text, etc.) at scale.
- Experiment Tracking: Monitor and compare experiments, track model versions, and maintain reproducibility across projects.
- Model Management: Organize, version, and deploy models, supporting integration with popular ML frameworks and MLOps tools.
- Data Versioning & Lineage: Ensure traceability of datasets, with tools to track changes and maintain data integrity through the ML lifecycle.
- Notebook Versioning & Diffing: Collaboratively develop and review Jupyter notebooks, with change tracking and comparison features.
- CI/CD/CT Integration: Automate workflows for continuous integration, delivery, and training.
- Interactive Pipelines: Build and manage machine learning pipelines with interactive tools.
DagsHub supports individual users, teams, and enterprises with tiered plans that include features like unlimited repositories, cloud or on-premise deployment, and advanced annotation capabilities.
Who uses DagsHub?
DagsHub serves a diverse range of organizations focused on data science and machine learning, including:
- Technology companies (Google, Nvidia, Intel)
- Academic and research institutions (Harvard, MIT, Purdue)
- Healthcare and life sciences organizations (Pfizer, Verantos, Manabio)
- Industrial and agriculture innovators (Taranis, Omron)
These customers use DagsHub to streamline their ML workflows, improve dataset quality, and support collaborative development.
What makes DagsHub different?
DagsHub stands out by offering a unified platform that covers the full data-to-model lifecycle for multimodal machine learning, emphasizing reproducibility, data integrity, and collaboration. Its recent integration with Red Hat OpenShift and OpenShift AI allows enterprises to deploy secure, scalable MLOps workflows within their own infrastructure, enhancing security and performance without sacrificing flexibility. Read more about this integration.
Who leads DagsHub?
DagsHub was co-founded by Dean Pleban (CEO) and Guy Smoilovsky (CTO). The team includes professionals with expertise in data engineering, machine learning, and software development, such as Simon Lousky, Nir Barazida, Gal Kabiri, Ido Nov, Tal Malka, Kirill Bolashev, Noa Goldman, Loren Mor, Avi Lozowick, Yuval Dafni, and others. Their collective background supports DagsHub's mission to simplify and advance collaborative AI development. Learn more on their About page.
Use PromptLoop to Uncover Company Data
Looking for more company insights like this? PromptLoop helps you go deeper, providing unique data points and analysis on companies like DagsHub and many others. Automate your research and find the information that matters most. Discover how PromptLoop can accelerate your market intelligence. Get A Free Demo to learn more.