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Building AI agents

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Dataloop offers tools specifically designed to easily create and launch enterprise-grade AI agents at scale.

The Problem

Most platforms don’t support building production-ready AI agents. Validation of AI agent quality is extremely manual and requires slow iterations with a lot of human feedback, which put the promise of AI agents out of reach for many organizations.

Unleash AI agents.
Automate everything.

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Easily build AI agents

Dataloop provides all the tooling needed to build AI agents out-of-the-box, so you don’t need to rebuild your stack. 

  • Easily input agent-specific context for models via model configuration.
  • Use our Marketplace to pick from a selection of pre-built pipelines that perform various agent tasks.
  • Iterate faster by having all the dedicated tools required to build
high-quality AI agents in one platform.
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Let AI agents do work for you

Deploy AI agents across your workflow to automate tasks you don’t need humans to do so you can create AI applications faster.

  • Create AI agents on Dataloop, and deploy them within your pipelines to automate tasks in your AI workflow.
  • Deploy AI agents as standalone AI applications to perform tasks or mimic behaviors.
  • Leverage Dataloop’s validation workflows to ensure agents meet your performance goals.
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Combine Active Learning with agents

Accelerate quality improvement of your AI agents by combining them with Active Learning capabilities.

  • Accelerate learning by automatically integrating feedback from production back into your AI agent models.
  • Combine all elements of Active Learning: Data management, RLHF, building datasets, and model training with AI agents.
  • Eliminate manual work needed to close the learning loop, and get to high-quality AI agents faster.
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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

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.

Bulding RAG workflows

Build Retrivial-Augmented-Anything workflows with Dataloop, combining models, data, compute and pipelines in one location – instead of scattered across multiple providers and platforms.

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.