Last updated 08-14-2026
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Encord
Encord gives data science teams one platform to label, curate, and evaluate multimodal training data for computer vision, physical AI, and LLM projects. You can annotate video, LiDAR, audio, text, DICOM, and geospatial files in custom workflows, run model-in-the-loop curation to find edge cases, and orchestrate RLHF or rubric-based evaluation before models ship.
General labeling suites often treat video and 3D sensor data as add-ons. Encord is built around multimodal pipelines from day one, with native LiDAR fusion, label lineage, and managed annotation services for robotics, autonomous vehicles, and enterprise vision teams. UiPath cites 10x dataset growth and a 4x error reduction after switching to Encord for image and text annotation.
ML engineers, annotation ops leads, and physical AI teams use Encord to replace spreadsheets and stitched-together tools. Starter and Team tiers cover self-serve prototyping through performance analytics, while Enterprise adds SSO, VPC or on-prem deployment, and SLA-backed support.
Native annotation for video, LiDAR, audio, text, DICOM, and geospatial data in one workflow
AI-assisted labeling with customizable ontologies and multi-stage human review
Model-in-the-loop curation uses embeddings to surface rare edge cases in large datasets
RLHF, rubric evaluation, and pairwise comparison tools for production LLM alignment
Managed annotation and data collection services with domain expert labelers
Enterprise tier supports SSO, VPC deployment, and on-prem installs
Handles video, LiDAR, audio, and text labeling in one platform instead of separate tools.
Model-in-the-loop curation helps teams find rare edge cases in large multimodal datasets.
Managed annotation services plug into the same workflows as internal labelers.
Enterprise supports VPC, on-prem, and SSO for regulated industries.
Team tier pricing is not listed publicly and requires signing up to see costs.
Physical AI and robotics focus may be more than simpler image-only projects need.
Enterprise features like on-prem deployment require a sales conversation.
What data types does Encord support?
Encord supports image, video, audio, text, document, LiDAR, DICOM, geospatial, and HTML labeling. Multimodal sensor fusion workflows are built for physical AI and robotics use cases.
Is there a free Encord plan?
Encord offers a Starter plan for individuals and small teams with image and video annotation, complex ontologies, customizable workflows, and self-serve support. Team and Enterprise tiers add analytics and SSO.
Does Encord offer managed labeling services?
Yes. Encord provides Data-as-a-Service with vetted domain expert annotators and managed collection pipelines integrated into the same platform used for in-house labeling.
Can Encord run on private cloud or on-prem?
Encord Enterprise supports VPC and on-prem deployments alongside SSO, multiple workspaces, and enterprise SLA support. Contact sales for deployment options.
Who uses Encord?
Encord customers include UiPath, which grew training datasets 10x and cut table extraction error rates 4x using Encord for image and text annotation at production scale.
Does Encord support LLM evaluation?
Encord Team and Enterprise plans include model evaluation, data agents, and RLHF or rubric-based alignment workflows to find where models fail and route fixes back into training.