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Roboflow

Category: Computer Vision

A comprehensive developer platform that provides end-to-end infrastructure for building, training, and deploying computer vision models at scale. Roboflow was founded in 2019. The company is led by Joseph Nelson. Based in San Francisco, USA. Team size: 100-250. Total funding raised: $63.6M. Latest round: Series B. Key investors include ["GV (Google Ventures)","Craft Ventures","Lachy Groom","Y Combinator"].

Founded
2019
Headquarters
San Francisco, USA
Team size
100-250
Total funding
$63.6M

Value proposition

Democratizes visual AI by simplifying the complex computer vision workflow—from raw image management to edge deployment—reducing production timelines from months to days.

Products and solutions

["Roboflow Universe (Open-source dataset and model repository)","Roboflow Annotate (AI-assisted image labeling and management)","Roboflow Train (AutoML for computer vision)","Roboflow Deploy & Inference (Cloud and edge deployment APIs)","Supervision (Open-source computer vision Python library)","Autodistill (Automated labeling using foundation models)","Roboflow Rapid (Prompt-based model creation engine)","Roboflow Workflows (Low-code pipeline builder)"]

Unique value

Operates 'Roboflow Universe,' the world's largest community-driven repository of computer vision datasets, often described as the 'GitHub for Computer Vision.'

Target customer

Software developers, data scientists, and enterprise engineering teams across Fortune 100 companies.

Industries served

["Manufacturing & Quality Control","Agriculture & AgTech","Healthcare & Medical Imaging","Retail & Logistics","Public Safety & Security","Transportation & Urban Planning"]

Technology advantage

Model-agnostic infrastructure that seamlessly integrates with popular architectures like YOLO and utilizes foundation models (e.g., Segment Anything Model) for zero-shot auto-labeling.

How they differentiate

Developer-first, model-agnostic infrastructure that covers the entire lifecycle from annotation to edge deployment, powered by 'Roboflow Universe'—the world's largest open-source computer vision dataset repository.

Main competitors

["Labelbox","Scale AI","V7 Labs","Encord"]

Key partnerships

["NVIDIA (Inception Program partner)","OpenCV (Official strategic partner)","Microsoft (Pegasus Program member)","Ultralytics (Official dataset management partner for YOLO models)","AWS, Google Cloud, and Microsoft Azure (Cloud infrastructure integrations)","Meta (Official integration partner for Segment Anything 3 / SAM 3)"]

Notable customers

["Cardinal Health","USG","Rivian","Honeywell"]

Major milestones

["Graduated from Y Combinator Summer 2020 batch","Launched Roboflow Universe, often called the 'GitHub for Computer Vision'","Released 'Supervision' and 'Autodistill' open-source libraries to simplify CV workflows","Secured $40M Series B led by GV in November 2024 to scale enterprise and open-source vision AI"]

Growth metrics

Supports 250,000+ developers; hosts 100M+ images; used by over 50% of the Fortune 100.

Market positioning

Leader in developer-centric computer vision infrastructure and dataset management.

Geographic focus

Global (Headquartered in San Francisco, USA)

Patents and IP

Proprietary algorithms for data augmentation and automated labeling; no specific public patent registrations disclosed as of latest update.

About Joseph Nelson

Joseph Nelson is the Co-founder and CEO of Roboflow. He previously founded and successfully exited ROC AUC, a machine learning consultancy that developed prototypes for Fortune 500 companies. He also served as a Lead Data Science Instructor at General Assembly, where he taught over 2,000 hours of curriculum. His early experience includes an internship at Facebook and a role as an Associate Desk Officer at the USDA. He is a Y Combinator alumnus (S20).

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