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Dataloop is generally praised for its robust data management and annotation capabilities, which many users find enhances their machine learning workflows. However, some users have raised concerns about occasional software bugs and a learning curve for new users. The pricing of Dataloop is perceived as fairly competitive given its comprehensive features, though some feel it might be steep for smaller teams. Overall, Dataloop maintains a solid reputation among users for its functionality and efficiency in AI data operations.
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Dataloop is generally praised for its robust data management and annotation capabilities, which many users find enhances their machine learning workflows. However, some users have raised concerns about occasional software bugs and a learning curve for new users. The pricing of Dataloop is perceived as fairly competitive given its comprehensive features, though some feel it might be steep for smaller teams. Overall, Dataloop maintains a solid reputation among users for its functionality and efficiency in AI data operations.
Features
Use Cases
Industry
information technology & services
Employees
55
Funding Stage
Series B
Total Funding
$54.0M
Dataloop uses a tiered pricing model. Visit their website for current pricing details.
Key features include: Models, Pipelines, Applications, Human Feedback, Marketplace, Security, Data Engineer, Data Scientist.
Dataloop is commonly used for: Human in the loop:.
Dataloop integrates with: TensorFlow, PyTorch, Kubernetes, AWS S3, Google Cloud Storage, Azure Blob Storage, Jupyter Notebooks, Slack.
