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Dataloop’s AI Development Platform

Let the builders
build
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Build ambitious workflows with data, models, and humans.
Deploy solutions in hours, not weeks.

Dataloop in a nutshell

The last AI application platform you’ll ever need.

 

See for yourself

Build as fast as you can dream (which translates to about 20x faster)

Data:

Get only the data you need to maximize the application’s performance.

Models:

Begin with pre-trained, LLMs, and other GenAI foundation models, then customize or build your own.

Elements:

Use our pre-built solutions, applications, and functions as is, customize them to your needs, or simply use them as a reference.

Human in the loop:

Incorporate human review if and when necessary.

  1. Data: Get only the data you need to maximize the application’s performance.
  2. Models: Begin with pre-trained, LLMs,
and other GenAI foundation models, then customize or build your own.
  3. Elements: Use our pre-built solutions, applications, and functions as is, customize them to your needs, or simply use them as a reference.
  4. Human in the loop: Incorporate human review
if and when necessary.

Generative AI

Build multimodal pipelines for extraordinary AI application development. Utilize both off-the-shelf and fine-tuned Large Language Models (LLMs), incorporate Retrieval-Augmented Generation (RAG) techniques, and leverage foundation models to create GenAI solutions that impress your customers and place you ahead of the competition.

Simply robust AI development

Dataloop makes every single data person in your organization feel at home.

Hit the ground running with 100s of pre-created nodes next arrow long
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Manage, train, evaluate, and deploy any model, at any scale, in any cloud next arrow long
Treat AI running in production to high-quality, real-time human feedback next arrow long

All of your teams can now work with data

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How
Dataloop
makes a
difference

20x

Faster development

Stay ahead of the AI curve and meet market demand.

70%

Time saved

Silos don’t scale. Collaboration does. Get your entire data org working together.

Teresa O'Neill

Director of Natural Language Solutions

“Working with Dataloop audio studio has accelerated our ability to deliver and scale complex ASR validation and NLP projects for our customers.”

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David Lempert

VP R&D

“The team at Dataloop provides 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."

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Ido Ariav

Deep Learning Lead

“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”

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Guy Morgenstern

Co-Founder & CTO

“Dataloop and its platform enabled us to continuously improve our production models on a weekly basis in a variety of classification problems.”

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10x

Higher quality

By using easy-to-build feedback loops between humans and machines.

95%

Automation

Across the average Dataloop pipeline. Reduce manual work to near-zero.

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Privacy and security

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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.

Awards​

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Great first principles

Dataloop offers state-of-the-art components for every AI use case

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Data

Use custom tools to easily pinpoint the correct data items and preprocess them. Build production-grade unstructured and semi-structured data pipelines from any source to any sink – in record time.

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Elements

Work with pre-built, composable nodes to create non-trivial workflows. Use serverless functions and custom applications as first-class citizens without any intermediary glue.

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Models

Integrate any model from a comprehensive and up-to-date library. Fine-tune models, create multi-modal pipelines, or build entirely new models from scratch – everything you need to meet your specific business needs, on any cloud.

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Human Feedback

Incorporate human feedback for annotation, learning reinforcement, active learning, and more. Close the loop by fostering collaboration between humans and machines, rather than pitting them against each other.