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Dataloop

Dataloop

Dataloop

An AI-Powered Data Engine

Pricing

Contact for Pricing$ 29/mo

New Features

API

Tool Info

Rating: N/A (0 reviews)

Date Added: October 26, 2023

Categories

Generative AI

Description

Dataloop is a comprehensive data management platform that covers the entire data cycle, from labeling and automating operations to deploying production pipelines. It integrates human-in-the-loop capabilities to make generative AI simple. Dataloop is trusted by industry leaders and helps AI teams in various industries automate their data management, including retail, drones & aerial imagery, robotics, autonomous vehicles, and precision agriculture. It provides enterprise-grade data engine with custom authentication and role permission enforcement, full encryption for data safety, and scalability to handle large data volumes. It has over 70,000 pipeline cycles per month, 20,000 monthly SDK installs, and 4,000 managed projects. Get started with Dataloop to learn how to build and deploy powerful computer vision pipelines, get a full overview of the Data Management and Annotation Studio platform, and discover how to accelerate your data pipelines with Python SDK or REST API integrations. Accelerate productivity while achieving the highest data quality.

Key Features

  • Generative AI made easy with Dataloop's advanced data engine
  • Automate data management for high volumes, high variance, and complex data
  • Accelerate AI across industries with Dataloop's help

Use Cases

  • Retail: Automate data operations and deploy production pipelines to accelerate AI-driven product development.
  • Drones & Aerial Imagery: Generate high-quality datasets for computer vision pipelines with Dataloop's advanced data engine.
  • Robotics: Ensure the highest data standards for cross-functional collaboration with Dataloop's enterprise-grade data engine.
  • Autonomous Vehicles: Maintain data safety and compliance with military-grade security standards and certified system audits.
  • Precision Agriculture: Automate tedious data-engineering and models' evaluation procedures to save time and money.
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