Encord
Manage, curate, and annotate multimodal AI training data
Target Audience
- ML engineers building production AI systems
- Medical imaging data teams
- Autonomous vehicle developers
- AI QA/validation specialists
Hashtags
Overview
Encord helps teams transform messy, unstructured data into high-quality training material for AI models. It handles complex data types like medical imagery, video feeds, and audio files while providing tools for quality control and team collaboration.
Key Features
Multimodal Support
Handle image, video, DICOM & audio files in one platform
AI-Assisted Labeling
Create pixel-perfect masks with single-click AI tools
Custom Workflows
Build human-in-the-loop QA processes for critical projects
Model Metrics
Automatic reporting on mAP, mAR & F1 scores
Cloud Sync
Real-time sync with AWS/GCP/Azure storage
Use Cases
Label medical DICOM/NIfTI images
Curate balanced training datasets
QA autonomous vehicle perception models
Compare model performance versions
Build active learning workflows
Pros & Cons
Pros
- Specialized support for medical/geospatial data
- SOC2/HIPAA/GDPR compliant security
- Pre-built integrations with major cloud providers
- Actionable team performance dashboards
Cons
- Steep learning curve for non-ML users
- Pricing requires demo consultation
- Limited mobile/offline capabilities
Pricing Plans
Starter
monthlyFeatures
- Basic annotation tools
- 3 team members
- 100GB storage
Professional
monthlyFeatures
- Advanced QA workflows
- Unlimited collaborators
- 1TB storage
Enterprise
yearlyFeatures
- Dedicated support
- Custom SLAs
- SOC2 reports
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
What data types does Encord support?
Supports image, video, audio, documents, DICOM & NIfTI files
Is my data secure?
SOC2, HIPAA & GDPR compliant with enterprise-grade encryption
Can I try before buying?
Free trial available with demo consultation
Integrations
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