The unified platform for 3D, LiDAR and point cloud data

From raw point clouds to production-ready models, annotate, curate and validate LiDAR and 3D data without patching tools together.

Explore the product Speak to an AI expert

“The composability of Encord enables us to merge diverse data sources, facilitating extensive experimentation. With a well-integrated SDK, it's a matter of a few lines of code to achieve seamless integration and functionality.”

Matt Pearce

Applied ML at Pickle Robot

Ingest and visualize multi-sensor data

Stream continuous raw sensor data from LiDAR, camera, radar and IMU sources in MCAP, ROS bag, PCD, PLY, nuScenes and KITTI formats. No preprocessing, no format conversion. Your data stays in your cloud.

Ingest and stream multi-sensor data at scale

Stream point clouds up to 20 million points per scene from your existing cloud storage. Stream high-volume, continuous raw sensor data including LiDAR point clouds, camera imagery, diverse telemetry in common industry formats like MCAP.

Find the data your model needs before you annotate it

Tag sensor data with custom metadata and filter your dataset before anything reaches an annotator. Surface edge cases, remove corrupt frames and build training sets around the scenarios that actually matter — not whatever came off the sensor first.

For AI that has to work in the real world

ADAS & AV

Construction

Aerial perception

Smart cities

Infrastructure

Sensor fusion annotation for complex 3D scenes

Power through complex 3D labelling with a streamlined interface, built-in RLHF & HITL workflows, and task automation with Encord Agents.

Automated pre-labeling across every frame

Objects arrive pre-labeled before an annotator sees the scene. Your team confirms, corrects and moves on - not draws from scratch. Annotation throughput goes up. Labelling costs come down.

Automated pre-labeling across every frame

Objects arrive pre-labeled before an annotator sees the scene. Your team confirms, corrects and moves on - not draws from scratch. Annotation throughput goes up. Labelling costs come down.

Review workflows built for 3D data

Encord's HITL review interface gives reviewers multi-frame context and cross-sensor comparison in one view. Consensus scoring and disagreement analytics catch label drift before it compounds across frames.

LiDAR and video annotation unified on one timeline

Every sensor on one unified timeline

LiDAR, camera and radar streams synchronized in one interface. Annotate across all modalities at once, with labels linked and timestamps aligned from the start.