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Your own DataOps platform

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Dataloop helps you automate data curation, management and cleaning and offers advanced human feedback capabilities to streamline your DataOps.

The Problem

AI teams need to have the right data on demand to create high quality AI applications. Getting there is extremely expensive and manual, requiring curation and careful data management to keep track of the data used in models.

Easily manage your data 

with automation and collaboration

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Robust DataOps platform

Dataloop automates your DataOps processes, empowering you to go from raw data to functional AI applications faster.

  • Use data curation capabilities to help practitioners find just the right data.
  • Build ETL pipelines that bring unstructured data quickly to your models.
  • Create your own automations to automate the data 
management process with our no-code workflow builder.
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Select only the data you need

Select only the data that you need for your model to save on training costs and get your AI applications to production faster.

  • Dataset browser allows exploring unstructured datasets visually 
to identify the data that matches your model’s requirements.
  • Search or query your data by metadata, item info, or annotation status (Dataloop generates embeddings for each data item automatically).
  • Select the most relevant data for annotation and prioritize it for 
annotators that will continue their workflow from within dataflow.
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Use pre-created workflow templates

Dataloop simplifies the development of new AI applications through the Marketplace, which offers a variety of models, datasets, and pipelines for to choose from.

  • Use newly-released models as they are or fine-tune them to your needs.
  • Rely on opinionated, plug-and-play workflows for popular AI use cases.
  • Explore various elements, functions and applications to ease your workflow building.
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Build on a solid foundation

Develop AI applications at the speed of market demand

 

Build anything with Dataloop

These are just some of the workflows our users build using the platform

Creating an active learning pipeline

Instantly install & get going with an active learning pipeline template from Marketplace. Run quick learning iterations with less human intervention, and quickly increase the quality of your AI application’s outputs.

 

Running AI in production

Deploy a model into production seamlessly, integrating everything from model development to AI operation within a single environment. Run all your AI applications from a single, cost-effective, platform.  

Building a GenAI stack

Create single- or multi-modal AI applications, work with hundreds of datasets, chose any model you need to and replace them at will – all on the only truly-complete platform for GenAI development.  

Multi-cloud Compute

Chain multiple cloud compute nodes together in a single pipeline. Use different types of compute and different compute vendors, including all major clouds, on-premise, NVIDIA’s DGX or Dataloop’s own compute offering.

 

FAQ

Dataloop is an AI development platform designed to empower data practitioners to collaborate and build exceptional AI solutions. It comes pre-packed with models, functions, datasets, and integrations with popular cloud platforms, ensuring you can hit the ground running when developing your AI applications.

Dataloop is an all-in-one solution, eliminating the need for multiple tools or cloud services to deliver complete, robust AI applications. Furthermore, Dataloop prioritizes RLHF, Active Learning, and other human-in-the-loop workflows, offering dedicated, state-of-the-art annotation studios for human reviewers to excel.

Dataloop offers a large Marketplace of models, datasets, pre-built workflow templates and more, and is highly-integrated with a variety of cloud platforms, data tools and more.

Read more about why Dataloop is a great choice for you in our dedicated page for Data Engineers.

Dataloop helps automate processes crucial to AI development, such as model training, human feedback (for RLHF and Active Learning) and more, and lets you focus on training your models instead of platform setup and configuration.

Read more about why Dataloop is a great choice for you in our dedicated page for Data Scientist.

In Dataloop, every piece of the pipeline can be created, modified and deleted using an API call, and our robust Python SDK allows for complete code-level control on the data pipelines you rely on to build your AI applications.

Read more about why Dataloop is a great choice for you in our dedicated page for Software Engineers.

Dataloop allow teams to focus on building AI applications, and not platform maintenance – while still allowing for complicated, human-in-the-loop flows and without compromising on quality or the speed of delivery.

Read more about why Dataloop is a great choice for you in our dedicated page for Data & AI Leaders.

To get started with Dataloop, you can talk to one of our AI experts.

At Dataloop, privacy and security are our top priorities. We adhere to leading industry standards and are dedicated to ensuring the security of your data with comprehensive governance throughout the entire platform. More specifically, Dataloop is compliant with SOC 2 Type II, GDPR, ISO 27001 and ISO 27701, and offers RBAC, 2-factor authentication, AES-256 encryption and ongoing tracking of all system resources and actions that occur within the platform.

You can read more about our security controls in our dedicated security resource.