The complete data pipeline for AI teams
From raw sensor feeds to production-ready training data. Encord combines expert annotation services, AI-assisted tooling, and real-world data collection infrastructure so your team can build models that work.
Most annotation vendors
were built for a different era
Your models are multimodal. Your data is complex. But most annotation vendors were designed for image classification workflows from 2018. They treat every project the same, scale through volume, and hand back labeled data with no visibility into how quality was assessed. The result is annotation bottlenecks, inconsistent quality, and training pipelines that stall waiting on data you can't trust.
One partner across the full data lifecycle
Encord covers every stage of the data development process for teams building physical and multimodal AI systems.
The data flywheel
Turn production deployment into a training signal. Route low-confidence predictions back into annotation queues, track for failure modes that are underrepresented, and continuously tighten your training distribution.
The data flywheel
Turn production deployment into a training signal. Route low-confidence predictions back into annotation queues, track for failure modes that are underrepresented, and continuously tighten your training distribution.
Data collection
In-field operators, teleoperation facilities, and configurable lab environments to generate training data at the source. We design the collection protocol with your team before scaling.
Curation and visualization
Embedding-based filtering, similarity search, and natural language queries to find the data that actually improves your model. Stop training on redundant episodes or uncaught edge cases.
Annotation and evaluation
AI-assisted annotation with SOTA model integrations, domain expert matching, and structured QA workflows. Covers video, LiDAR, DICOM, audio, text, and code.
Deployment feedback
Human-in-the-loop supervision at deployment through remote teleoperation. Continuous iteration on your data collection and annotation policies based on real-world model failures.
Why Encord?
Design partner, not fulfillment vendor.
We do not apply generic rubrics or fill headcount. We work with your team to define what good data looks like for your specific task, iterate on annotation standards before scaling, and maintain traceability across every decision. When quality breaks, we diagnose the root cause.
Why Encord?
Design partner, not fulfillment vendor.
We do not apply generic rubrics or fill headcount. We work with your team to define what good data looks like for your specific task, iterate on annotation standards before scaling, and maintain traceability across every decision. When quality breaks, we diagnose the root cause.
“A lot of platforms prioritize speed over quality, or quality over speed. Encord speeds up annotation while still allowing for strong quality control.”
Camilla Gilchrist
Operations Director at Tractable
Supporting leading AI teams
We now have an integrated, one-stop solution where we can manage our data and also understand our model performance to create feedback mechanisms to improve data and models.
Encord made it very easy to centrally keep track of annotations, including who had made them and who had reviewed them. It also has this great interpolation tool which was especially useful.
It’s always about balancing speed and quality. A lot of platforms prioritize speed over quality or quality over speed. Encord speeds up annotation while still allowing for strong quality control.
Encord’s robust support system has been remarkable. Whenever questions or issues come up, they are always supportive and helpful. This ensures that our workflows remain uninterrupted.
We went through a bunch of vendors and one of the things that stood out about Encord was the video first support, which other vendors do not have.
Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.
Before using Encord, it was challenging to see all the data, projects, and annotations in one place. Now, with Encord I feel like we have a much clearer understanding of everything that's happening.
We now have an integrated, one-stop solution where we can manage our data and also understand our model performance to create feedback mechanisms to improve data and models.
Encord made it very easy to centrally keep track of annotations, including who had made them and who had reviewed them. It also has this great interpolation tool which was especially useful.
It’s always about balancing speed and quality. A lot of platforms prioritize speed over quality or quality over speed. Encord speeds up annotation while still allowing for strong quality control.
Encord’s robust support system has been remarkable. Whenever questions or issues come up, they are always supportive and helpful. This ensures that our workflows remain uninterrupted.
We went through a bunch of vendors and one of the things that stood out about Encord was the video first support, which other vendors do not have.
Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.
Before using Encord, it was challenging to see all the data, projects, and annotations in one place. Now, with Encord I feel like we have a much clearer understanding of everything that's happening.
We now have an integrated, one-stop solution where we can manage our data and also understand our model performance to create feedback mechanisms to improve data and models.
Encord made it very easy to centrally keep track of annotations, including who had made them and who had reviewed them. It also has this great interpolation tool which was especially useful.
It’s always about balancing speed and quality. A lot of platforms prioritize speed over quality or quality over speed. Encord speeds up annotation while still allowing for strong quality control.
Encord’s robust support system has been remarkable. Whenever questions or issues come up, they are always supportive and helpful. This ensures that our workflows remain uninterrupted.
We went through a bunch of vendors and one of the things that stood out about Encord was the video first support, which other vendors do not have.
Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.
Before using Encord, it was challenging to see all the data, projects, and annotations in one place. Now, with Encord I feel like we have a much clearer understanding of everything that's happening.
We now have an integrated, one-stop solution where we can manage our data and also understand our model performance to create feedback mechanisms to improve data and models.
Encord made it very easy to centrally keep track of annotations, including who had made them and who had reviewed them. It also has this great interpolation tool which was especially useful.
It’s always about balancing speed and quality. A lot of platforms prioritize speed over quality or quality over speed. Encord speeds up annotation while still allowing for strong quality control.
Encord’s robust support system has been remarkable. Whenever questions or issues come up, they are always supportive and helpful. This ensures that our workflows remain uninterrupted.
We went through a bunch of vendors and one of the things that stood out about Encord was the video first support, which other vendors do not have.
Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.
Before using Encord, it was challenging to see all the data, projects, and annotations in one place. Now, with Encord I feel like we have a much clearer understanding of everything that's happening.
Enterprise-grade.
Built for scale.
Designed for reliable AI.
Built for scale.
Designed for reliable AI.
API/SDK-first. Zero data migration. Your data stays in your cloud.
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Get the data right
300+ of the best AI teams in the world use Encord. Join them.