Data operations for
organization-wide collaborations
Manage, collaborate, distribute and utilize your data operations, all integrated seamlessly and managed via single point of access
From input to action on a single platform
Integrate
Integration with your cloud storage and direct M2M uploads via REST API
Automate
Automate data ops directly from your code with our Python SDK
Operate
Transparent and consistent management of your datasets
Why Dataloop?
DataOps teams carry many organizational responsibilities, including managing data infrastructure and governance, regulating data access, enabling cross-functional collaborations and more. To perform these duties, they need data to be portable between systems, traceable and accessible for querying and editing and as automated as possible, to save from frustrating manual functions that prevent scalability.
Dataloop answers such demands by supporting seamless integration with any cloud storage provider or Kubernetes cluster, while enabling direct machine-to-machine communication via Dataloop’s REST API and interactive CLI. These allow teams to upload and update millions of data items automatically and simultaneously from any machine, whether on-cloud or on-prem. They can then use Dataloop’s data management, versioning and pre/post processing plugins to streamline each step of the data pipeline, all accessed and controlled from a single point of access.
Our solutions for data operations teams
Tools for seamlessly managing and distributing your data across the organization
Accelerating computer vision
across all industries
Specializing in high volumes, high variance and complex data - we help a wide range of deep learning teams automate their data preparation processes
Our end-to-end solution to empower your Vision AI
Annotation
Platform
An end-to-end cloud-based annotation platform, with embedded tools and automations for producing high-quality datasets more efficiently.
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Data Ops
Manage, collaborate, distribute and utilize your data operations, all integrated seamlessly and managed via single point of access.
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Production
Pipelines
Build custom automation pipelines within our serverless environment, to reach production faster and scale indefinitely.
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Powering vision AI teams across the globe
Helping companies create AI-driven products, from development to large-scale production
“Dataloop has enabled us to build our production environment with data pipelines and annotation workflows, helping us grow our product. Their ML experts work with us closely to meet our needs.”
“Data accuracy is critical to the development of our autonomous systems. Dataloop provides our team with a powerful and intuitive platform that allows us to create top quality and accurate datasets."
Elbit Systems
“Flexible and reliable annotation tool with responsive support is absolutely essential for Human-In-the-Loop machine learning. Dataloop proved to be that tool for us.”
Dataloop’s Use-cases
Enterprise
Power collaborations across the organization
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data Annotation
High quality annotations made fast and easy
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Data operations
A single source of truth for your ML data
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deep learning
Build, develop and scale your pipelines
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