Dataloop for Data Engineers

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Build robust pipelines with data, models, elements and human feedback in one platform with as little manual work as possible.

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Outstanding AI applications
start with Dataloop

Use templates of popular workflows from our Marketplace
or build completely from scratch.

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 RAG 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.  

DataOps

Data curation, cleaning, versioning and management tools you can depend on. Dataloop pre-processes every single piece of unstructured data for easy retrieval and filtering, allowing quick & easy data selection.  

Get the tools you need

Dataloop offers a dedicated set of capabilities for 
Data Engineers to do their best work.

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Build end-to-end workflows

Dataloop is a complete AI development stack, allowing you to make data, elements, models and human feedback work together easily.

  • Use one centralized tool for every step of the AI development process.
  • Import data from external blob storage, internal file system storage or public datasets.
  • Connect to external applications using a REST API & a Python SDK.
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Save, share, reuse

Every single pipeline can be cloned, edited and reused by other data professionals in the organization. Never build the same thing twice.

  • Use existing, pre-created pipelines for RAG, RLHF, RLAIF, Active Learning & more.
  • Deploy multi-modal pipelines with one click across multiple cloud resources.
  • Use versions for your pipelines to make sure the deployed pipeline is the stable one.
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Easily manage pipelines

Spend less time dealing with the logistics of owning multiple data pipelines, and get back to building great AI applications.

  • Easy visualization of the data flow through the pipeline.
  • Identify & troubleshoot issues with clear, node-based error messages.
  • Use scalable AI infrastructure that can grow to support massive amounts of data.
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Build on a solid foundation

Develop AI applications at the speed of market demand

 

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.