Robotics Data Providers

Encord review: a robotics data provider for collecting and labeling data

Answer in brief: Encord is the right pick when the data you need does not exist yet and you want one vendor to collect it, label it and manage it. Encord says it collects teleoperation, egocentric and embodied data in its own warehouse facilities, and its platform labels synchronized RGB, depth, LiDAR and force/torque data in one interface. For ready-made data it offers E-MM1, an open multimodal dataset of 107 million data groups. E-MM1 does not contain robot actions, so it will not replace demonstration datasets such as FineART or DROID.

Top pick for: Robotics and humanoid teams that want collection, curation and multi-sensor labeling in one place, with data kept in their own cloud.

Free to download: E-MM1

Encord describes E-MM1 as an open-source dataset of images, video, text, audio and 3D point clouds. It has three parts: a pre-training pool of more than 100M five-modality groups, a 1M post-training subset with human-rated match quality, and a gold-standard evaluation set with five-rater consensus. Encord says it reports the licenses of all underlying datasets and excludes known public evaluation items from the training partitions. You get it through an email form on Encord's site, and partitions are on GitHub. It suits teams building multimodal retrieval or embedding models for robots. It is not a source of robot actions.

Beyond the free data: collection plus annotation

Encord's pitch is one pipeline from raw sensor data to training-ready datasets. Under the banner “Our facility, your protocol,” it says it adapts every part of the collection pipeline to your research requirements, whether you bring custom hardware, define new task protocols or scale to thousands of hours. Its platform handles multi-sensor annotation, 6-DoF pose and keypoint labeling for grasps and hand-object interaction, and embedding-based curation that surfaces rare grasps, occlusions and new environments. It also generates paired video-language-action sequences for VLA and imitation-learning workflows. Supported data types include video, RGB-D, LiDAR, force sequences, UMI, stereo video, teleoperation recordings and egocentric video. Our sister site AI training data providers compares annotation platforms in depth.

Who it fits

Why teams pick Encord

Honest drawbacks

Pricing model

Three platform tiers. Starter covers individuals and small teams. Team adds data agents, performance analytics and model evaluation. Enterprise is contact sales and adds multiple workspaces, SSO, an enterprise SLA, and VPC and on-prem deployment. Collection and managed services are scoped per project. E-MM1 is free to download.

Best alternatives

FAQ

Does Encord sell ready-made robotics datasets?

Not publicly. Its open E-MM1 dataset is multimodal (image, video, audio, text, point clouds), not robot demonstrations. Robotics data is collected to order.

Where does Encord collect robotics data?

Encord says it collects teleoperation, egocentric and embodied data in its own warehouse facilities, adapting the pipeline to your hardware and task protocols.

Which sensors can Encord's platform label together?

Synchronized RGB, depth, LiDAR and force/torque data in a single interface. 3D, LiDAR and point-cloud labeling is a paid add-on.

Sources

This review is independent research based on Encord's own website, checked on 2026-11-09. We did not test the product.

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