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INGRADIENT, Inc.

INGRADIENT is a medical AI data labeling company that develops MediLabel, which processes clinical data for healthcare professionals and researchers. This technology enhances the accuracy and efficiency of data annotation, enabling better insights and decision-making in medical research and practice.

Seoul, South KoreaFounded 20205100+ followers
Updated 4 months ago

Funding

$1.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Medical AI development is hindered by the time-consuming and error-prone process of manually labeling clinical data. Inconsistent or inaccurate annotations can lead to biased models and unreliable results, slowing down research and limiting the clinical utility of AI-powered tools.

Solution

INGRADIENT offers MediLabel, an AI-assisted data labeling platform designed to streamline the annotation of medical data for healthcare professionals and researchers. MediLabel leverages machine learning algorithms to automate parts of the labeling process, improving both the speed and accuracy of data annotation. The platform provides a collaborative environment for teams to work together on labeling projects, ensuring consistency and reducing the risk of human error. By accelerating the creation of high-quality datasets, INGRADIENT enables faster development and deployment of reliable medical AI applications.

Target Audience

INGRADIENT's primary customers are healthcare professionals, medical researchers, and AI developers working on medical imaging, diagnostics, and drug discovery.

Features

  • AI-powered pre-labeling to automatically identify and annotate common medical entities
  • Customizable annotation workflows to support a wide range of data types and labeling tasks
  • Real-time collaboration tools for teams to work together on labeling projects
  • Quality control features to ensure data accuracy and consistency
  • Secure data storage and access controls to protect sensitive medical information
  • Integration with popular medical imaging and data analysis tools
This profile is AI-generated and may contain inaccuracies.