Roboflow is a computer vision platform that turns images, videos and camera streams into structured data. Teams label datasets with AI assistance, train models from dozens of architectures, chain models into workflows, and deploy them to cloud GPUs or edge hardware. Inference runs serverless on Roboflow's GPUs or self-hosted on NVIDIA Jetson, Raspberry Pi and standard GPU servers. A free tier includes 10 credits a month, enough to train roughly 30 models, while Core starts at $39 a month with larger credit packs and Enterprise adds an uptime SLA.
Roboflow is built for machine learning engineers, software developers, and operations teams in manufacturing, logistics, energy, healthcare and robotics who need vision AI in production without assembling the pipeline themselves. Hobbyists and students can start on the free tier, and startups use Core for training and Workflows. Large enterprises choose custom plans for volume pricing, private weights, data residency in the US or EU, and industrial add-ons such as MQTT, OPC and PLC triggers. Developers who prefer open source can use the company's supervision, inference and RF-DETR libraries directly.
Common scenarios include catching defects on an assembly line, counting and tracking items on a conveyor with a line counter, inspecting rail wheels or infrastructure, and improving warehouse safety by detecting people and vehicles. A workflow can combine an object detection model, a tracker and an email alert to flag stoppages automatically. Teams label thousands of images quickly with frontier models, train a custom detector, and deploy it to cameras on site. Vision Events then store detections as queryable data, and Active Learning feeds new images back to improve the model.
