Annotab Studio is a data annotation and management platform created to streamline the workflow for AI model development. Featuring auto-segmentation and robust class management, it ensures high-quality data labeling and efficient dataset management. Ideal for collaborating on AI projects, Annotab Studio optimizes the labeling process, making it faster and more accurate, ultimately enhancing the overall performance of your AI models.

Hasty AI is a cutting-edge AI-driven platform designed to streamline the image annotation process for creating training data for machine learning models. It provides tools for AI-powered image segmentation, object detection, and classification, helping data scientists and ML engineers reduce annotation time and increase accuracy. With features like automated labeling and continuous model improvement, Hasty AI empowers users to build high-quality annotated datasets swiftly and efficiently.

Maige is an AI-driven solution designed to automate GitHub workflows. It acts based on rules you define, performing tasks such as labeling issues, assigning them to team members, posting comments, and conducting code reviews. Additionally, Maige can even run simple code snippets to facilitate your development process further. By integrating Maige into your GitHub repository, you can significantly boost your productivity, ensuring that routine tasks are handled efficiently and consistently.