Encord

Encord is a comprehensive data development platform designed for AI and computer vision teams, particularly those working in physical AI and multimodal systems. It serves as the data infrastructure layer for managing the entire data pipeline, from collection and curation to annotation and model evaluation. The platform supports a wide range of data modalities including image, video, audio, LiDAR, text, documents, geospatial data, and HTML, enabling teams to handle diverse sensor and data types within a single workflow. It integrates native annotation tools for video, LiDAR, audio, text, and sensor fusion, along with label lineage and quality controls for production-scale projects.

Beyond annotation, Encord offers features for data curation and collection, using embedding-based search and model-in-the-loop techniques to identify edge cases and close distribution gaps. It also supports model alignment and evaluation through RLHF, rubric-based evaluation, and pairwise comparison, allowing teams to find where AI models fail and route those examples back into training. The platform provides annotation and collection services with vetted domain experts, making it suitable for enterprise and physical AI applications. Encord is used by companies like UiPath to achieve significant improvements in model accuracy and dataset growth.

Encord is presented as a cloud-based SaaS platform with a pricing model that requires contacting the company for details. It is designed to be flexible and scalable, accommodating both small teams and large enterprises. The platform's multimodal capabilities and end-to-end pipeline coverage make it a comprehensive solution for building and deploying robust AI systems.