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.
SuperAnnotate is project management for data labeling, Roboflow is your solution for creating custom AI applications.
SuperAnnotate 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 SuperAnnotate and Roboflow?
Import images to Roboflow
Bring data from SuperAnnotate 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
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Compare Roboflow and SuperAnnotate
When it comes to comparing Roboflow and SuperAnnotate, SuperAnnotate provides a project management software for data labeling. Teams that want to go beyond annotation and build full computer vision systems often choose Roboflow. Roboflow offers a complete end-to-end platform, enabling data labeling, preprocessing, model training, deployment, and continuous improvement through active learning. With Roboflow, engineers can keep everything in one place, iterate faster, and maintain full control over their data and models. Teams use Roboflow because it simplifies the entire vision pipeline, empowering them to move from labeled data to deployed models with speed and confidence.
Roboflow
End-to-end computer vision platform (annotate, train, deploy)
SuperAnnotate
Data annotation and labeling platform with managed workforce
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: GE Vernova, Rivian, Chobani, USG, Pella)
SuperAnnotate
- Total disclosed funding of approximately $75.1M; Series B reached $50M cumulative with a $13.5M extension from Dell Technologies Capital in July 2025
- Publicly cited enterprise customers include Databricks, Canva, and Motorola Solutions
- Marketplace of 400+ vetted annotation teams across multiple continents
- 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
SuperAnnotate
- Platform scope is annotation, dataset curation, and quality control across images, video, text, audio, and LLM/GenAI tasks
- Does not include native, built-in model training or hosted inference; documented architecture relies on integrations with external training and deployment infrastructure (e.g., Fireworks AI, Databricks)
- AI-assisted annotation features including pixel-accurate segmentation tooling and SAM-style assisted labeling
- Recent product expansion focused on LLM and GenAI workflows (RLHF, fine-tuning, evaluation) rather than CV-specific training/deployment
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
SuperAnnotate
- Open-source Python SDK (superannotate-python-sdk) on GitHub for project, data, and annotation management
- Format converters for VOC, COCO, LabelBox, DataLoop, VGG, VoTT, SageMaker, GoogleCloud, and YOLO annotations
- REST API for programmatic interaction with the platform
- No comparable open-source CV utility library or self-hostable inference server in mainstream community use
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
SuperAnnotate
- SOC 2, HIPAA, ISO 27001, and PCI DSS compliance status are not publicly documented on SuperAnnotate's website or trust resources
- Deployment options: managed cloud (including AWS Marketplace listing)
- Customer-VPC, on-premises, and fully air-gapped deployment models are not publicly documented as standard offerings
- Cloud storage integrations available so data can remain in the customer's own cloud provider
Sources: roboflow.com, docs.roboflow.com, security.roboflow.com, universe.roboflow.com, github.com/roboflow, superannotate.com, doc.superannotate.com, github.com/superannotateai, aws.amazon.com/marketplace, pitchbook.com, crunchbase.com. Figures reflect publicly available information as of May 2026.