Scale vs Encord
Manage, curate, and label multimodal data for AI. Achieve scale without Scale.
Maximise AI project budgets by efficiently creating high-quality, balanced datasets to improve AI model performance at scale without compromising speed or security. Consolidate AI data management and annotation workflows to one platform with Encord.
Powering the world's leading AI teams
Optimize data labeling budgets by cleaning data before annotation
Curate high quality data
Seamlessly search, filter, and organize the most relevant diverse dataset for labeling and model training.
Automatically clean datasets
Ensure that labeling efforts are not wasted on irrelevant and erroneous data that will hinder AI model performance.
Automate multimodal data annotation at scale
Evaluate model performance to deploy production ready AI fast
Validate your models against your data to surface, curate, and prioritize the most valuable data for training and fine-tuning to supercharge model performance.
Hear from our customers
Unify your data development toolstack
Co-founder and Head of Computer Vision @ Automotus
"We now have an integrated, one-stop solution where we can manage our data and also understand our model performance – and the errors and issues where the models are not performing well – and create the feedback mechanisms to improve our models and data."
Join thousands of ML teams deploying production-ready AI applications using best-in-class data curation, labeling, and model evaluation tools with Encord.
Integrations
Integrate seamlessly with your toolstack
Securely connect your cloud data storage, MLOps tools, and much more to augment existing data development workflows.
Security
Enterprise grade security
Encord is SOC2, HIPAA, and GDPR compliant with robust security and encryption standards.
API / SDK
Developer-friendly for easy access
Leverage our API or SDK to programatically access projects, datasets & labels within the platform via API.
