super.AI

Overview

super.AI provides a comprehensive platform designed to accelerate the development of AI applications by automating the creation of high-quality training data. The platform focuses on complex data types and tasks, using machine learning to automate initial labeling and workflows while strategically integrating human intelligence for verification, complex cases, and quality control. This hybrid approach ensures both speed and accuracy, making it suitable for diverse industries and challenging datasets.

The platform offers customizable workflows, robust quality assurance mechanisms, and tools for managing data annotation projects at scale. It supports a wide range of data modalities including images, video, text, audio, and lidar. By streamlining the data labeling process, super.AI helps companies reduce the time and cost associated with preparing data for AI model training, allowing data science teams to focus on model development and deployment rather than manual data preparation.

Key Features

• AI-Assisted Data Labeling: Utilizes machine learning to automate or accelerate the annotation process.
• Human Workforce Management: Tools to integrate and manage human annotators for complex tasks and quality control.
• Customizable Workflows: Design specific data processing and labeling pipelines tailored to project needs.
• Quality Assurance: Implement robust quality checks and consensus mechanisms.
• Multi-Modal Data Support: Handles various data types including image, video, text, audio, and lidar.
• Scalable Infrastructure: Built to handle large volumes of data for enterprise-level projects.
• API Access: Enables integration into existing data pipelines and systems.

Supported Platforms

• Web Browser
• API Access

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