| Form factor and focus | Software platform; runs on the cameras and compute you choose, or the Roboflow AI1 device | Managed solutions; camera-based hospital supply room inventory, plus safety, patient monitoring, and manufacturing offerings |
| Vision tasks | Object detection, instance and semantic segmentation, classification, keypoints, OCR, depth estimation, and multimodal tasks | Detection, classification, and segmentation, plus ImageChat for asking questions about images in plain language |
| Train your own model | Yes, RF-DETR, YOLO (v8 / v11 / v26), Detectron2, and more | Yes, no code; draw bounding boxes in AI Vision Studio; architecture choice not documented |
| Export and own model weights | Yes | Partial; Vision Studio says models can be imported and exported; weight formats not documented |
| AI-assisted labeling | Yes, Auto Label labels the classes you describe in a text prompt; Smart Polygon powered by Meta AI's Segment Anything; Label Assist pre-annotates with your own trained models | Yes, Smart Annotation applies pretrained or custom concepts to raw images and video |
| Edge hardware | Yes, NVIDIA Jetson, GPU servers, Raspberry Pi, x86, or Roboflow AI1, online or fully offline | Yes, most NVIDIA devices, with a device manager that pushes models to self-hosted or edge devices |
| Offline and air-gapped | Yes, Docker-based offline install with no cloud dependency | Not documented; inventory solution runs on a dedicated Microsoft cloud platform |
| Keeping models accurate | Built in; active learning and operator feedback send flagged images back into training; Vision Events logs every prediction and image; model monitoring on Enterprise | Yes, Active Continuous Learning with a human in the loop |
| Industrial and business integrations | Yes, PLC Reader, PLC Writer, and OPC UA blocks speak OPC UA, Modbus TCP, and EtherNet/IP | ERP and MMIS; inventory data feeds existing ERP or supply chain systems; PLC protocols not documented |
| Sub-agents for frontier models (MCP) | Yes, every trained model is exposed over MCP so frontier models can call it as a specialized vision tool | Not documented |
| Professional services | Yes, Roboflow Cloud deploy consulting and benchmarking, onboarding and enablement, hardware procurement, on-premise installation and activation, project and workflow review, and forward deployed engineering | Yes, site assessment, installation, configuration, testing, training, and go-live support; onboarding shared with Henry Schein for its customers |
| Compliance | SOC 2 Type II, HIPAA with BAAs, PCI DSS | SOC 2 Type II, ISO/IEC 27001, ISO 9001; HIPAA and GDPR aligned |
| Open-source inference server | Yes, self-hostable HTTP inference for custom and foundation models | Not published; models can run self-hosted in a private cloud or on NVIDIA edge devices |
| Open-source CV library | Yes, supervision, with model-agnostic utilities for detections, tracking, annotation, and evaluation | Not published; the GitHub organization has three public repositories, two of them forks |
| SDKs and APIs | Yes, Python SDK plus REST/HTTP APIs | REST API with Python, JavaScript, and cURL samples; no official client SDK documented |
| Pricing | Published plans; Enterprise adds volume pricing and an uptime SLA | Not published; custom per organization, based on inventory locations, cameras, and integration scope |