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iMerit
Multimodal AI Data Solutions

What is iMerit?

iMerit provides comprehensive AI data solutions by integrating technology, specialized human talent, and analytics. Their services focus on delivering high-quality data for both predictive and generative AI applications. Utilizing the Ango Hub product suite, iMerit streamlines data pipelines through automation and offers purpose-built applications tailored for industries such as healthcare AI, autonomous mobility, and high-tech sectors. This approach ensures efficient data processing and model evaluation.

The platform supports a wide array of data types including images, video, audio, text, and 3D point clouds, offering various annotation methods like bounding boxes, polygons, semantic segmentation, and text extraction. For generative AI, iMerit facilitates model evaluation and fine-tuning through processes like Reinforcement Learning from Human Feedback (RLHF), Retrieval-Augmented Generation (RAG) tuning, data creation, augmentation, and red-teaming. This is supported by a global workforce of over 5,000 domain experts and analysts, ensuring data accuracy, scalability, and effective edge case management.

Features

  • Ango Hub Product Suite: Offers data pipeline automation and purpose-built applications for specific industries.
  • Workflow Automation: Streamlines ML data pipelines with custom automation features.
  • ML-Assisted Annotation: Utilizes an integrated plugin library for pre-labeling and auto-labeling.
  • Diverse Annotation Support: Handles bounding boxes, polygons, polylines, keypoints, semantic segmentation, text extraction, and classification.
  • Generative AI Solutions: Provides model evaluation, RLHF, RAG tuning, red-teaming, and data creation/augmentation services.
  • Expert-in-the-Loop: Employs over 5,000 full-time analysts and domain experts for validation and quality assurance.
  • Analytics & Insights: Delivers real-time project monitoring, performance tracking, and issue management.
  • Purpose-Built Applications: Includes solutions for Radiology Annotation, In-cabin Monitoring, Defect Detection, and Crop & Weed Detection.

Use Cases

  • Annotating medical images for healthcare AI applications.
  • Labeling sensor data for autonomous vehicle development.
  • Fine-tuning large language models (LLMs) using RLHF.
  • Evaluating and improving generative AI model outputs.
  • Annotating images and videos for computer vision tasks.
  • Transcribing audio and annotating text for NLP models.
  • Moderating user-generated content for online platforms.
  • Categorizing products to enhance e-commerce search relevance.
  • Analyzing geospatial data for asset inspection.
  • Processing documents for financial services AI.

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