V7 vs Encord
Precisely label, manage and evaluate AI data on one platform
Join the teams leaving V7’s isolated labeling tool behind to switch to Encord’s end-to-end AI data curation and annotation platform. Efficiently create high quality, balanced datasets to improve AI model performance at scale without compromising speed or security.
Powering the world's leading AI teams
Manage, curate, annotate and evaluate your data on one platform
Unify multiple data management tools to one platform for more efficient data development workflows driving improved AI model performance at lower cost.
Curate your data with collections
Group and remove poor quality data from your dataset in a few clicks. Filter using metadata to create smart collections, bulk classification and more to manage and enrich your data prior to annotation.
Streamline data annotation and workflows at scale
Customize your annotation workflows to drive improved data quality, faster labeling, and accelerated AI model performance.
Visualize with custom embeddings plots
Visually identify and inspect data outliers with embeddings plots. Find under-represented areas of your datasets and fill these gaps to ensure fair and balanced datasets.
DATA IN ONE PLACE
Unify data management across multiple teams and data modalities
Centralize and explore your unstructured data with ease to drive more secure and collaborative data development workflows. Eliminate over half of the time spent on data cleansing and preparation.
Seamlessly synchronize multiple data sources
Self-host data or connect to AWS, GCP, Azure, Oracle, or OTC cloud storage in a few clicks and access all nested files instantly.
One place to explore data across all modalities
Manage and explore multimodal data including image, video, DICOM and audio to efficiently prepare exactly the right data required for your AI model.
Make it easy for teams to collaborate
Leverage Role Based Access Control to enable organization-level user management.
Data workflows
Automate multimodal data annotation at scale
Leverage state-of-the-art model-assisted labeling and customizable workflows to accelerate labeling projects and build production-ready models, faster.
Boost labeling efficiency
Maximize labeling precision at scale with powerful ontologies and granular labeling functionality to annotate image, video, audio and DICOM data.
Customized Workflows
Orchestrate your labeling data pipeline with no-code workflow builders to improve quality assurance and leverage RLHF.
Explore at scale
Explore & curate billions of data points at scale with ease
Leverage granular filtering, sort and search using quality metrics, custom metadata and natural language queries to explore all your data in one place.
Search your data using natural language
Level up your data curation process to easily find the most relevant and specific data for model development using natural language search and similarity search.
Inspect your data using metrics and custom metadata
Filter and slice large datasets using 40+ data metrics and explore by metadata to efficiently curate high quality data for AI model development.
Our DATA DEVELOPMENT PLATFORM
Accelerate your AI data workflows with Encord
Raw data
Index
30% reduction in dataset size
Data management & curation
Annotate
10x increase in speed
Labeling & human feedback
Active
20% Improvement in mAP
Model Evaluation
AI Models
Model Prediction
Join thousands of ML teams deploying production-ready AI applications using best-in-class data curation, labeling, and model evaluation tools with Encord.
Integration
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/SDK to programatically access projects, datasets & labels within the platform via API.
Encord RESOURCES
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