Encord Active is a platform for evaluating and validating AI models in production, with a focus on multimodal data. It helps machine learning teams identify, select, and prioritize the most valuable examples for training and fine-tuning.
Model evaluation and testing
Use Encord Active to test models on real-world data, surface weak spots and edge cases, and measure prediction quality. This supports safer production releases and ongoing monitoring of model behavior in live conditions.
Data curation and prioritization
The platform automatically highlights problematic and high-value samples to streamline dataset curation. Teams can more quickly choose data for fine-tuning, improve labeling quality, and raise overall model performance without endlessly expanding datasets.
Built for production ML teams
Encord Active is designed for ML engineers and data scientists building and maintaining production-ready AI systems. It helps shorten the model improvement cycle, improve performance on rare classes, and optimize labeling and data refresh workflows.
