Data labeling & annotation · Cord Technologies Ltd.
Encord
Multimodal data platform covering curation, AI-assisted annotation and model evaluation for vision, video, audio, text and medical imaging.
Encord covers the full pre-training data lifecycle in one platform: curating and finding the right examples, annotating them with AI-assisted tools (including SAM-2 and GPT-4o-assisted labeling), and evaluating model performance against the labeled data to identify gaps and drive active-learning loops. It supports images, video, audio, text, DICOM medical imaging and LiDAR/3D point-cloud data, and offers "Data Agents" for extending the platform programmatically without custom integration scripts. Deployment is offered both as standard SaaS and as VPC/on-premise (including air-gapped setups) for customers with stricter data-residency requirements, alongside direct-access integration with AWS, GCP, Azure and other cloud storage providers. It suits teams that want curation and evaluation tightly coupled to the labeling step rather than a labeling tool alone.
At a glance
| Vendor | Cord Technologies Ltd. |
|---|---|
| Pricing model | Quote only |
| Free tier | — |
| Deployment | Cloud, Self-hosted |
| Open source | No |
| Best for | Teams that want curation, annotation and model evaluation tightly integrated, including regulated/on-prem deployments. |
Pricing
No public pricing found; quoted per team and data volume, contact sales.
Pricing has not been verified yet — see the vendor's site.
Features
- Data curation across images, video, audio, text and medical imaging
- AI-assisted labeling (SAM-2, GPT-4o-assisted annotation)
- Model evaluation and active-learning gap detection
- Data Agents for programmatic platform extension
- VPC and on-premise/air-gapped deployment options
- DICOM medical imaging and LiDAR/3D point-cloud support
- Direct-access integration with AWS, GCP, Azure and Oracle Cloud
Integrations
Profile last reviewed September 21, 2026