Fast data labeling
Label data quickly with a suite of AI-assisted annotation tools to augment human labeling or fully automate your data labeling pipeline.
Encord only lets you label images, Roboflow is a complete computer vision platform
Encord vs Roboflow? Over 1 million engineers create datasets, train models, and deploy to production with Roboflow
Why are companies choosing Roboflow?
The turnkey solution for vision AI. Create datasets, train models, and deploy to production.
AnnotateAI-accelerated labeling and dataset optimization
TrainComplete model training toolset and platform
BuildVisual application builder and template
DeployManaged infrastructure, cloud and edge support
End-to-End Vision, One Platform
From labeling to deployment—build, train, and launch with ease.
Built for Builders, Ready for Anything
Interoperable infrastructure for developers to create custom vision solutions.
AI at the Edge, Without Limits
Deploy seamlessly to any edge device and power real-time vision AI.
Build vision AI applications with ease
Use a low-code open source platform to simplify building and deploying vision AI applications.
Machine learning expertise, always
Work with account-dedicated AI specialists and Field Engineers to accelerate development and optimize performance.
Datasets and models for every industry
Access thousands of datasets and pre-trained models to kickstart your computer vision projects.
Flexible model licensing
Choose from a range of licensing options to fit your needs, whether for commercial use, private deployment, or collaboration across teams.
Want to use Encord and Roboflow?
Import images to Roboflow
Bring data from Encord to Roboflow for model training.
Deploy with Roboflow
No matter where you train your model, use Roboflow's trusted deployment solutions.
Automate data labeling
Use AI labeling in Roboflow to automate 90% of human labeling.
OK I’m ready, how do I use Roboflow?
Roboflow makes it easy to build, train, and deploy custom computer vision models, even if you’re not a machine learning expert.
Speak with an AI expert
Our team will help you start solving business problems on the first call.
Ask us about:
- Solution architecting
- Live demonstration
- Pricing and specifications
- Feasibility assessment
Over 16,000 organizations build with Roboflow.
- Rivian
- Pella
- Chobani
- USG Corporation
- BNSF Railway
- American Woodmark
Start where you are
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Compare Roboflow and Encord
When it comes to comparing Roboflow and Encord, Encord provides a platform centered on collaborative data annotation with built-in tools for quality assurance and model-assisted labeling. While this is helpful for managing annotation workflows, teams looking to build and deploy complete computer vision solutions often choose Roboflow. Roboflow goes beyond labeling by offering a full-stack platform that includes data management, model training, deployment to edge or cloud, and continuous improvement through active learning. With Roboflow, engineers can move from raw data to production-ready models in one streamlined environment, without stitching together multiple tools. Teams select Roboflow because it’s built to support iteration, scale, and full ownership of their vision pipelines from day one.
Roboflow
End-to-end computer vision platform (annotate, train, deploy)
Encord
AI-native data infrastructure: curation, annotation, and quality control
Scale & Ecosystem
Roboflow
- 1,000,000+ developers on the platform
- 1,000,000+ public datasets on Roboflow Universe
- 100,000+ pre-trained models hosted publicly
- 25,000+ organizations building with the platform, including more than half of the Fortune 100 (publicly cited: Walmart, Cardinal Health, Rivian, Pfizer, Amgen, USG, Pella)
Encord
- Total disclosed funding of approximately $110M, including a $60M Series C led by Wellington Management in December 2025
- Approximately 154 employees as of February 2026
- Publicly states 300+ teams as customers, including Woven by Toyota, Skydio, Maxar, Synthesia, Philips, Cedars-Sinai, Northwell Health, Memorial Sloan Kettering Cancer Center, Stanford Medicine, and King's College London; named contracts with unnamed military and government agencies
- No public catalog of community-contributed datasets or pre-trained models comparable to Roboflow Universe
Product Capabilities (Computer Vision)
Roboflow
- End-to-end platform: dataset management, annotation, model training, hosted inference, and deployment
- Native support for object detection, instance and semantic segmentation, image classification, keypoint detection, OCR, depth estimation, and multimodal tasks
- Built-in foundation models including CLIP and SAM
- Roboflow Workflows for chaining detection, classification, OCR, and business logic into a single pipeline
- Active model registry covering RF-DETR, YOLO (v8 / v11 / v26), Detectron2, and other current architectures
Encord
- Annotation coverage for images, video, audio, text, HTML, and DICOM, including bounding boxes, polygons, polylines, keypoints, bitmasks, 3D cuboids (point clouds), and object tracking across video frames
- AI-assisted labeling integrates SAM2 and YOLO; AI agents framework for automated labeling, QA, and workflow automation
- Does not include a native, hosted training-to-inference layer for the broad CV task list; documented architecture is to "train and run AI on the right data" by integrating with the customer's existing MLOps stack rather than training and serving models on Encord directly
- No public registry of swappable model architectures comparable to Roboflow's model registry
Developer Experience
Roboflow
- Open-source supervision library — model-agnostic utilities for detections, tracking, annotation, and evaluation
- Open-source inference server — self-hostable HTTP inference for custom and foundation models
- Native integrations with Hugging Face Transformers, MMDetection, and the broader open-source CV stack
- Python SDK plus REST/HTTP APIs; standardized I/O lets teams swap model weights without changing application code
Encord
- Open-source Python SDK (encord-client-python) on GitHub for project, dataset, ontology, and label operations
- REST API and cloud-storage integrations for AWS S3, Azure Data Lake Storage, and Google Cloud Storage; raw data can remain in the customer's existing cloud buckets
- AI Agents framework for automating labeling, QA, and pipeline workflows
- No comparable open-source CV utility library or self-hostable inference server in mainstream community use; SDK is oriented to data, annotation, and pipeline operations rather than model serving
Enterprise & Security
Roboflow
- SOC 2 Type II compliant
- HIPAA-compliant infrastructure with BAAs available
- PCI DSS (SAQ A and AOC) compliance
- Deployment options: managed cloud, customer VPC, on-premises, and fully air-gapped / offline (Docker-based) for firewalled environments
- Training and inference can run on customer-owned bare metal or in the customer's own cloud account
Encord
- SOC 2 Type II certified
- HIPAA compliant
- GDPR compliant
- PCI DSS compliance is not publicly documented
- Encryption: AES-256 at rest, TLS 1.2 / 1.3 in transit
- Deployment options: managed cloud in US and EU regions; raw data can remain in customer-owned S3 / Azure Data Lake / GCS buckets via cloud-storage integrations
- Customer-VPC, on-premises, and fully air-gapped self-serve deployments are not publicly documented as standard offerings
Sources: roboflow.com, docs.roboflow.com, security.roboflow.com, universe.roboflow.com, github.com/roboflow, encord.com, encord.com/security, docs.encord.com, github.com/encord-team, techcrunch.com, eu-startups.com, theaiinsider.tech, pitchbook.com, crunchbase.com. Figures reflect publicly available information as of May 2026.