Encord
Overview of Encord
Encord: The AI Data Management Platform for Multimodal Data
What is Encord? Encord is an AI data management platform designed to help machine learning teams manage, curate, annotate, and evaluate multimodal data for AI model training, fine-tuning, and alignment. It provides a unified data layer to streamline the AI development process and accelerate the deployment of production-ready AI applications.
How does Encord work? Encord offers a range of tools and features to manage AI data:
- Data Indexing and Curation: Encord allows users to index and curate petabytes of unstructured multimodal data, transforming it into high-quality data suitable for training AI models.
- Multimodal Data Annotation: The platform supports the generation of multimodal labels at scale, enabling teams to efficiently annotate various data types, including images, videos, documents, text, audio, DICOM & NIfTI, and LiDAR.
- AI Model Alignment: Encord facilitates the alignment of AI models by providing tools for active learning, preference ranking, and rubrics-based evaluation.
- Collaboration: Encord's platform supports collaboration among ML practitioners, enabling them to work together on data curation, labeling, and model evaluation.
Key Features and Benefits:
- Improved Annotation Accuracy: Encord users have reported a 30% improvement in annotation accuracy.
- Increased Model Performance: The platform has been shown to increase model performance by 20%.
- Cost Savings: Encord can help organizations save up to $600,000 per year.
How to use Encord?
- Index and Curate: Begin by indexing and curating your multimodal data within the Encord platform.
- Annotate: Utilize Encord's annotation tools to generate labels for your data at scale.
- Align: Align your AI models using Encord's active learning and evaluation features.
Who is Encord for?
Encord is ideal for:
- Machine learning teams
- AI practitioners
- Organizations deploying production-ready AI applications
Why is Encord important? Encord simplifies the AI development process by providing a unified data layer for managing, curating, and annotating multimodal data. This can lead to faster deployment of AI applications, improved model performance, and significant cost savings.
Trusted by Leading AI Teams
Encord is trusted by over 200 of the world's top AI teams, including Pickle Robot, Automotus, and Standard AI.
"I can’t recommend Encord enough if you need a high quality data labeling and management platform!"
Jonathan Lwowski, Director of AI/ML at Zeitview
Use Cases
Encord supports a wide range of use cases, including:
- Reasoning
- Object segmentation & tracking
- Preference ranking
- OCR text extraction
- Computer vision
- Robot vision
- Multimodal prelabeling
Integrations
Encord integrates securely with existing workflows, as demonstrated by its presence on the Google Cloud Marketplace.
Pricing
Encord offers various pricing plans to suit different needs.
In conclusion, Encord is a powerful AI data management platform that can help organizations accelerate the development and deployment of AI applications. By providing a unified data layer and comprehensive tools for data curation, annotation, and model evaluation, Encord enables AI teams to achieve faster results, improve model performance, and save costs.
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