Dataloop

Unify data, models, and workflows in one environment, automating pipelines and incorporating human feedback to accelerate AI application development and improve quality.
AI Development Data Management Model Management

Dataloop is an AI development platform that spans data and models, automates pipelines and lets you label data with a quality-first approach. The idea is to make it easier to build AI applications by combining data curation, model management, pipeline orchestration and human feedback into one environment.

Some of the features of Dataloop include:

  • Data Management: Explore and analyze vast amounts of unstructured data from various sources. Automated preprocessing and embeddings help you understand relationships and find the right data.
  • Model Management: Use pre-trained AI models or create your own. Deploy models to production without having to integrate external tools, and manage versions, experiments and fine-tuning.
  • Pipeline Orchestration: Visualize and automate workflows by connecting data, models and human feedback with a drag-and-drop interface or Python SDK.
  • Elements: Build custom functionality with a function-as-a-service offering. Write code that interacts with data and models without authentication or infrastructure setup.
  • Human Feedback: Integrate human feedback directly, allowing for real-time input and minimizing manual work.
  • Marketplace: Use pre-trained models, elements and pipelines to accelerate application development.
  • Security: GDPR, ISO 27001 & 27701, and SOC 2 Type II compliant, with strong security controls and granular audit trails.

Dataloop supports a broad range of unstructured data types, including images, videos, text and more. The platform is designed to accommodate a variety of roles within an organization, including data engineers, data scientists, software developers and AI/data leaders. It's designed to improve collaboration and accelerate development with a full suite of tools and integrations with popular cloud platforms.

Dataloop's benefits include:

  • 20x Faster Development: Get to market faster.
  • 70% Time Saved: Improve collaboration and reduce silos.
  • 10x Higher Quality: Incorporate human feedback for better results.
  • 95% Automation: Minimize manual work across average pipelines.

Dataloop is designed with privacy and security in mind, following industry leading standards to ensure user data is protected. The platform also comes with a powerful Python SDK for low-level control, making it accessible to users with different skill levels.

For teams developing and deploying AI applications, Dataloop offers a unified platform to manage data, models and workflows while ensuring high quality and security.

Published on June 14, 2024

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