Roboflow
Computer vision development and deployment
About
Founded in 2020 and based in Des Moines, Iowa, Roboflow provides an end-to-end platform for building and deploying computer vision models. The platform covers the full CV lifecycle—image collection and annotation, dataset versioning, preprocessing and augmentation, model training, and deployment via API, edge device, or SDK. Roboflow Universe, its public model and dataset repository, hosts hundreds of thousands of pre-labeled datasets and pretrained models. Over 250,000 developers and engineers use Roboflow, including teams from over half the Fortune 100, across healthcare, security, manufacturing, and automotive. Backed by Y Combinator and OpenAI co-founders, the company has raised $62.75M total.
Products
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Roboflow Platform
— End-to-end computer vision platform to build, train, and deploy models from idea to production.
Customer sectors: developers, enterprises, machine learning engineers
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Roboflow Deploy
— Run computer vision models on device, at the edge, in your VPC, or via API for scalable inference.
Customer sectors: developers, enterprises, machine learning engineers
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Roboflow Workflows
— Low-code interface to build computer vision pipelines and applications with chained models and custom logic.
Customer sectors: machine learning engineers, developers, enterprises
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Roboflow Train
— Hosted infrastructure providing GPU access to train and fine-tune computer vision models.
Customer sectors: machine learning engineers, developers, enterprises
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Roboflow Annotate
— Fast, AI-assisted image annotation tool for creating labeled datasets.
Customer sectors: data annotators, machine learning engineers, developers
Market research & competitive positioning
Source-backed TAM / SAM / SOM sizing, displacement analysis, and an interactive peer positioning map for Roboflow — available to members.
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