Building AI agents
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.
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.
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.
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.
Build on a solid foundation
Develop AI applications at the speed of market demand
Data
Models
Pipelines
Applications
Human Feedback
Marketplace
Security
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.
“Working with Dataloop audio studio has accelerated our ability to deliver and scale complex ASR validation and NLP projects for our customers.”
“The team at Dataloop provide a powerful platform with a suite of tools. Thanks to Dataloop, we're able to successfully test our algorithms and improve our ADAS and autonomous driving features"
“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”
“Working with Dataloop has proven to save Odysight.AI significantly in regards to money and time, by automating once tedious data-engineering and models’ evaluation procedures”.
“Dataloop and its platform enabled us to continuously improve our production models on a weekly basis in a variety of classification problems.”
“We love working with Dataloop; their data management platform allows us to simultaneously ensure multiple projects are labeled, tasked and QA'd regardless of where our workforce is based.”
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.
