The Collaborative DICOM & NIfTI Annotation Platform for Healthcare AI

Graduate from ITK Snap & 3D Slicer with Encord's collaborative annotation platform and get to production AI faster. Quickly label large training datasets from modalities including CT, X-ray, PET, ultrasound, mammography and MRI.

Trusted by pioneering AI teams


Annotation types

Supporting your annotation needs

Equip your annotators with the leading collaborative medical labeling solution offering native DICOM and NIfTI image rendering with a PACS-style interface. The tool includes configurable window level presets, multiplanar reconstruction (MPR), worklist support, maximum intensity projection (MIP) and a wide range of annotation tools to choose from.


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High Quality Training Data with Custom Workflows

From expert review to annotator management and role based access control, build out detailed workflows to ensure your AI model is trained on high-quality data with with specialist medical annotators involved at the right times.


In-depth ontologies

Master complexity with in-depth labeling protocols

Create as many nested classifications as you want with the industry’s most advanced labeling ontologies to support your labeling operation and help you create a better Ground Truth in a single platform.


Supporting your regulatory journey

Simplify Regulatory Requirements Like FDA and CE Approval

As well as being HIPAA and SOC2 compliant, Encord’s data pipelines, fully auditable labels, quality control and de-identification features simplify regulatory compliance.

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Computed Tomography (CT)

Analyse and annotate voxels in CT with super-human precision for stroke detection, pulmonary embolism diagnosis and colonography.

X-Ray Imaging

Classify X-rays at unparalleled efficiency for lesion tracking, oncology monitoring and pneumonia diagnosis.


Annotate mammography and breast tomography images faster than ever before.

Magnetic Resonance Imaging (MRI)

Use pre-set or custom windows in MRI using the Hounsfield scale for brain aneurism segmentation, tumor classification and cyst localisation.


Annotate ultrasound data to perform object detection, classifications and segmentations on 2D and 3D data, and leverage expert review workflows.

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Build better models, faster with Encord

The future of AI starts today. Encord’s advanced developer tools and infrastructure securely empower AI teams to streamline data flows, collaborate with ease, and build reliable models in one platform.

Built with security in mind

Encord is SOC2, HIPAA, and GDPR compliant with robust security and encryption standards.

Pre-built integrations

Import data from your desired storage bucket such as AWS, Azure, Google Cloud Storage & Open Telekom Cloud OSS.

Encord API & SDK

Programatically access projects, datasets & labels within the platform via API.

“This was the first tool we found that could handle the enormous labeling taxonomy we had...

...we have to catalog many different types of products and Encord’s ontology feature was extremely useful in packing everything into a usable structure. The interface is also quite intuitive and the hotkeys make it easy for our team to navigate and speed up the annotation process.”

“One of the best bits of Encord are the powerful ontologies we can create...

...we can build a really complex labelling structure to cover advanced labelling requirements. Even more useful when combined with the action classification - means you can create very rich datasets to train a ML model on.”

“I can confidently say that Encord is one of the best...

...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.”

Software To Help You 
Turn Your Data Into AI

Forget fragmented workflows, annotation tools, and Notebooks for building computer vision models. Encord is an active learning platform that accelerates every stage of taking a computer vision model to production.