What is Encord?
Encord is a platform for labeling and managing visual data, with real strength in the hard cases: medical images, 3D and LiDAR, and long video where most tools start to struggle.
The annotation tools handle standard formats plus the ones healthcare teams actually deal with, including DICOM and NIfTI, with 3D viewing across the usual planes and controls radiologists expect. That focus shows up in the compliance too. Encord carries SOC 2 Type II, HIPAA, and GDPR, which is the baseline for anyone building AI on patient data.
Beyond drawing labels, the platform leans on active learning to make the labeling itself smarter. Instead of annotating everything evenly, you can prioritize the data where the model is weakest or least certain, which cuts how much you have to label to move accuracy. There are tools for finding and curating the right images and for spotting label errors before they poison training.
Teams tend to use it for:
- Medical imaging annotation with the compliance a clinical project requires
- 3D, LiDAR, and sensor data for robotics and autonomous systems
- Long or high-resolution video that needs consistent tracking
- Curating and cleaning large image sets so you label the data that matters
The company operates as Cord Technologies and works with a lot of healthcare and life-sciences groups, which is a useful signal if your data comes with regulatory weight.
Pricing starts with a free trial, then moves to paid plans and enterprise agreements scaled by usage, features, and the compliance needs of the deployment.
Best for computer-vision teams doing complex or regulated work, especially in healthcare, that need serious tooling and a real compliance story. Less of a fit for a team whose data is mostly text or who wants a simple general-purpose labeler for a small project.
