Encord

Encord is a leading data platform catering to advanced computer vision teams. It aims to streamline the entire AI development process, from data preparation and annotation to model training and deployment. Here's a breakdown of its key offerings:

Encord acts as a comprehensive data engine and management platform, empowering you to manage, prepare, and utilize your data effectively throughout the AI development lifecycle. Its user-friendly interface, collaborative features, and advanced tools for data labeling, model training, and deployment make it a valuable asset for advanced computer vision teams.

• Labeling and RLHF tools: Label visual data efficiently with various annotation methods and utilize tools like active learning and reinforcement learning for efficient data labeling.
• Data management and curation: Organize and manage large datasets seamlessly, ensuring data quality and accessibility for your models.
• Collaboration features: Work on projects with your team through task assignment, progress tracking, and version control mechanisms.
• Fine-tuning and model management: Refine your models, track their performance, and manage different versions effectively.
• Integrated evaluation tools: Analyze your models' performance with detailed reports and insights to identify areas for improvement.
• Experimentation and optimization: Facilitate rapid experimentation with different model configurations and data sets to find the optimal setup.

• Starter: Perfect for individuals and small building teams, including image and annotation toolkit, complex and dynamic ontologies, and import model predictions.
• Team: For team building, managing, and scaling a few AI applications. Offers everything in Starter, plus AI-assisted labeling, data management and curation, model observability.
• Enterprise: Available for big companies with multiple AI applications. Everything in Team, plus multiple workspaces, SSO, private cloud and on premise, and enterprise support.