Dataloop for Data & AI Leaders

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Deliver robust AI applications to production as fast as possible, securely and within budget by ensuring all teams have the tools they need.

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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.  

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.

Get the tools you need

Dataloop offers a dedicated set of capabilities for
Data & AI Leaders to do their best work.

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Build better applications

Collect the data you need, transform it with ease, and then feed the most relevant pieces into the latest models with minimal integrations.

  • Enjoy advanced data management and pre-processing capabilities for large amounts of data.
  • Use validation features with RLHF and RLAIF to detect edge cases and data bugs.
  • Aggregate compute resources from multiple clouds or let Dataloop manage & scale your compute.
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Get to production faster

Build on a collaborative platform that has every tool each of your teams need. Rely on automation to streamline your workflows.

  • Give the latest AI tools to every team, including a simple UI, no-code automations and a full SDK.
  • Let each member of the data team resolve issues on their own and collaborate with others.
  • Use pre-created templates, use case-specific annotation tools, and reusable software components.
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Stay on budget

Dataloop enables balancing the provision of the latest AI capabilities to multiple teams while allowing leaders to monitor costs.

  • Predict tool costs with one platform that offers solutions to every team in the AI development cycle.
  • Built-in integrations with popular cloud platforms reduce maintenance and integration costs.
  • Consolidate multiple tools into a single platform instead of paying for a full tool and only using portions of it.
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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.