Encord

Encord is a comprehensive data development platform designed to transform petabytes of unstructured multimodal data into high-quality datasets for training, fine-tuning, and aligning AI models. Used by over 200 leading AI teams worldwide, Encord accelerates the deployment of production-ready AI applications through best-in-class data curation, labeling, and model evaluation tools.

Key Features:

• Index & Data Curation - Efficiently index and curate petabytes of data with powerful visualization, dataset querying, filtering, multi-modal search, outlier detection, and image duplication detection capabilities.

• Annotate - Generate multimodal labels at scale with support for images, videos, audio, documents, DICOM & NIfTI files, geospatial data, ECG, 3D/LiDAR/Point cloud, and custom data types. Includes AI-assisted labeling with Segment Anything Model 2, object tracking, and interpolation.

• Active Learning - Align AI models with label and model analytics, label validation, error detection, model comparison, custom metrics, and acquisition functions for dataset balancing.

• Data Agents - Automate annotation workflows with intelligent data agents that reduce manual labeling effort.

• Quality Control - Customizable workflows for labeling and review, consensus workflows, annotator training modules, and performance dashboards.

• Model Evaluation - Import model predictions, run inference, and evaluate model performance with comprehensive analytics and plots.

• Enterprise Security - SOC2 Type II certified, HIPAA and GDPR compliant with private cloud integrations, VPC and on-prem deployment options, SSO, and multi-factor authentication.

• API & SDK - Build flexible pipelines with comprehensive API and Python SDK for seamless integration into existing ML workflows.

To get started with Encord, teams can explore the product through the website, speak with an AI expert, or sign up for the Starter plan for individuals and small teams. The platform supports complex and dynamic ontologies, customizable workflows, and scales from prototyping to enterprise-level deployments with multiple workspaces and dedicated support.