Encord is a multimodal data platform that helps AI teams manage, curate, annotate, and evaluate training data for physical AI and enterprise machine learning applications.
About
Encord is a data infrastructure platform for teams building and operating AI models, particularly "physical AI" systems such as robots, autonomous vehicles, and drones. It addresses a core bottleneck in machine learning: getting the right training and evaluation data, in the right condition, at production scale. Rather than stitching together separate tools for storage, labeling, curation, and model evaluation, teams use Encord as a single layer that spans the data lifecycle from pre-training through deployment feedback.
The platform handles multimodal data natively, including video, images, LiDAR and other 3D formats, audio, text, and medical imaging files such as DICOM and NIfTI. Encord is developed by Cord Technologies Inc., a company founded in 2021 by Ulrik Stig Hansen and Eric Landau, headquartered in London with a presence in San Francisco and New York. The company states that more than 300 AI teams use Encord, including Woven by Toyota, Toyota Research Institute, AXA, UiPath, and Zipline.
Key Features
Pricing & Fees
- Pricing: Encord offers Starter, Team, and Enterprise plans, but specific prices are not publicly listed on the pages we reviewed; check the official site for current plans. Starter is self-serve for individuals and small teams, while Enterprise requires contacting sales.
- Plan differences: Team adds data agents, performance analytics, model evaluation, and onboarding support; Enterprise adds multiple workspaces, single sign-on, enterprise SLA, and VPC or on-prem deployment options.
- Deployment options: Available as cloud, VPC, or on-prem deployments, with the latter two tied to Enterprise plans.
- Compliance: Encord is SOC 2 certified, HIPAA-compliant, and GDPR compliant, with a public trust center.
- Scale: Data indexing tiers support volumes from up to 500,000 items on Starter to 1 billion or more on Enterprise plans.
Who It's For
Encord is built for machine learning and data teams working with complex, multimodal datasets. Typical users include robotics and humanoid developers training perception and manipulation models, autonomous vehicle and ADAS teams working with synchronized LiDAR, camera, and radar data, and drone programs managing multi-sensor datasets. It also serves enterprise AI teams in healthcare and surgical video, industrial and manufacturing monitoring, sports analytics, voice AI, and document-heavy applications such as ID verification. UiPath, for example, reports using Encord to annotate and manage image and text training data, growing its dataset tenfold while reducing error rates.
FAQ
What is Encord?Encord is a multimodal data platform that lets AI teams manage, curate, annotate, and evaluate the training data behind their models, with particular depth in physical AI domains like robotics, autonomous vehicles, and drones.
Is Encord free to use?Encord offers a self-serve Starter plan for individuals and small teams building prototypes, but it does not publish specific prices on the pages reviewed; Team and Enterprise plans scale up through self-serve signup or contacting sales.
What data types and integrations does Encord support?It supports multimodal data including images, video, 3D and LiDAR, documents and text, audio, DICOM, and NIfTI files, and provides API and SDK access plus cloud integrations.
Where does my data live when using Encord?Encord is API/SDK-first and states that customer data stays in the customer's own cloud, requiring no data migration; VPC and on-prem deployments are available on Enterprise plans.
Can Encord supply annotation services as well as software?Yes, Encord offers Data-as-a-Service with vetted domain-expert annotators and managed data collection, including in-field operators and teleoperation facilities for physical AI data.
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