Encord

Features

• Model Evaluation: Run robustness checks to ensure high-quality AI deployment, accelerating the development lifecycle with cutting-edge evaluation capabilities.
  
• Data & Label Validation: Protect training data integrity using advanced label validation, enhancing accuracy and reliability, preventing costly mistakes.
  
• Active Learning Workflows: Incorporate humans-in-the-loop to iteratively refine model performance, significantly reducing deployment timelines.
  
• Advanced Analytics: Detect and rectify model weak spots with advanced analytics to keep your model accurate in evolving data landscapes.
  
• Comprehensive Dataset Management: Build robust, balanced datasets using powerful filtering, search functionality, and AI-assisted quality metrics.
  

Use Cases:

• Enhance Model Performance: Identify and improve underperforming models using explainability reports to exceed AI benchmarks.
  
• Faster AI Deployment: Streamline the AI development process from data curation to deployment with Encord Active improving edge-case class performance by up to 67%.
  
• Labeling Efficiency: Boost annotation speed by 60% with Encord's intuitive interface to manage and validate datasets quickly and effectively.
  
• Adapt to Data Drift: Ensure your models adjust to new data conditions via dynamic detection and rectification of weak spots.
  

Encord Active empowers AI teams with a suite of tools to enhance development efficacy, delivering production-ready AI solutions with optimized data curation and model evaluation processes.