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Roboflow is an end-to-end computer vision platform that enables developers and enterprises to build, deploy, and manage vision AI applications. Founded by Joseph Nelson and team, Roboflow solves the problem of taking a computer vision model from idea to production by providing tools for data labeling, model training, and deployment. The platform supports over 1 million engineers and is used by more than 16,000 organizations, including half of the Fortune 100. Core capabilities include using foundation models or fine-tuning custom models, chaining multiple models with custom logic, and deploying to cloud or edge devices. Roboflow integrates with popular frameworks like PyTorch, TensorFlow, and Ultralytics, and offers open-source libraries such as Supervision and Inference. It fits workflows in industries like logistics, manufacturing, media, healthcare, and robotics, catering to both individual developers and large enterprise teams.
4.7/5
High, consistent, and production-ready
Clean, developer-friendly, and intuitive
End-to-end platform for building, deploying, and managing computer vision AI applications.
Integrates with AWS, GCP, Azure, PyTorch, TensorFlow, Ultralytics, and edge devices like NVIDIA Jetson and Raspberry Pi.
Freemium with paid tiers for teams and enterprises
Features with the highest value for users are highlighted here.
End-to-end computer vision platform
Foundation model fine-tuning
Multi-model chaining with custom logic
Cloud and edge deployment
Open-source libraries (Supervision, Inference)
SOC 2 Type 2 and HIPAA compliance
Integration with AWS, PyTorch, Ultralytics
Pre-built workflows and community models
Computer Vision Engineers
Machine Learning Teams
Enterprise Organizations
Startups
Manufacturing Companies
Logistics & Transportation
Media & Broadcasting
Robotics Developers
Healthcare & Medical
Hobbyists & Educators
Free
Pro
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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