Enterprise-ready tools to help you deliver on your mission to delivery better orthopedic procedures. Collaborate on annotation projects, automate data annotation with AI-assisted labeling, and streamline labeling operations — securely and with best-in-class support.
Trusted by pioneering AI teams
Super charge your data annotation with AI-powered labeling — including automated interpolation, object detection and ML-based quality control.
Get startedWith expert QA and annotator management, create fully customized, automated ML pipelines to improve the efficiency and quality of your annotation workforce.
We offer the industry’s most advanced labeling ontologies enabling you to create as many nested classifications to support your labeling operations and create better Ground Truth.
The team were using another commercial tool and struggled with annotation quality & consistency, the quantity of video data, and the lack of a working Python SDK. With Encord, they have scaled their annotation pipelines through natively rendering videos in the Encord platform, using workflows for automating expert review, the Python SDK and more. The team are now achieving 0% incorrect annotations (previously at 20%), while speeding up video annotation by 10x.
...Its versatility and ever-evolving nature never cease to amaze me, allowing me to annotate objects with ease and precision… The interface is simple yet powerful and making annotation-intensive studies a breeze, especially when working with multiple objects.”
- G2 reviewer
...With Encord's interpolation feature we can label videos much more efficiently than with the tools we were using previously. The micro-model feature also makes labeling much more efficient, as we can pre-label videos so our annotators spend less time doing manual labels.”
- G2 reviewer
...Combined with Encord's 'micro-models' (which further speed up video labeling) we've been able to reduce how much it costs us to create high quality labeled data. And the platform's really flexible - we're not limited by the length of the video we can upload or confined to a small range of compatible file formats."
- G2 reviewer
Test, validate and evaluate your models and surface, curate and prioritize the most important data for labeling, to supercharge model performance.
Get startedEasily uncover outliers and edge cases in your data with quality metrics.
Learn more
Semantic visual search
Custom quality metrics
Data & model debugging
Label error analysis
Semantic visual search
Custom quality metrics
Data & model debugging
Label error analysis
Use existing models and custom embeddings to surface potential label errors and correct them to improve your data quality.
Close the loop between your models, uncurated data and your annotation platform and target your data curation towards high-impact samples.
We want to help you deliver on your mission to improve patient outcome, surgeon experience, and overall efficiency of joint replacement interventions.
