| Vision tasks | Object detection, instance and semantic segmentation, classification, keypoints, OCR, depth estimation, and multimodal tasks | Classification, object detection, and instance and semantic segmentation; keypoints, OCR, and depth estimation not documented |
| Train your own model | Yes, RF-DETR, YOLO (v8 / v11 / v26), Detectron2, and more | Yes; from scratch or a pretrained model, or bring your own algorithm through an open algorithm specification |
| Export and own model weights | Yes | Partly; datasets and configurations are portable and models remain customer IP; weights export 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, 2D and 3D annotation with interactive segmentation, plus curation that resolves annotator disagreements |
| Keeping models accurate over time | Built in; active learning and operator feedback send flagged images back into training; Vision Events logs every prediction and image; model monitoring on Enterprise | Built in; agents send back outliers and low-confidence samples, and drift detection pushes a validated recipe to every machine |
| Offline inference | Yes, Docker-based offline install with no cloud dependency | Yes, inspection runs on a local agent on each machine; licensing may need periodic check-ins |
| Deployment options | Managed cloud, customer VPC, on-premises, and fully air-gapped / offline | On-premises, single-tenant, air-gapped, or a Robovision-managed service |
| Inspection pipeline and integrations | Yes, Workflows chain detection, classification, OCR, and business logic into a single pipeline, with PLC Reader, PLC Writer, and OPC UA blocks | Yes, Indurion Suite runs the workflow from data import to deployment; results reach MES through a standard integration point, with industrial protocols for inputs and outputs |
| API and SDK | Yes, Python SDK, REST API, MCP server, public docs; open-source inference server and supervision library | Not documented; no public API reference found |
| Open source | Yes, supervision and inference libraries, plus integrations with Hugging Face Transformers and MMDetection | No, there is no open-source CV utility library or self-hostable inference server in community use |
| 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 audit, feasibility and solution design, recipe development, algorithm integration, onboarding, and value assurance |
| Support coverage | 24/7, with a support SLA and a named Customer Support Engineer on Enterprise Support | Not published |
| Compliance | SOC 2 Type II, HIPAA with BAAs, PCI DSS | No certifications published; security page covers coordinated vulnerability disclosure |
| Pricing | Published plans; Enterprise adds volume pricing and an uptime SLA | Not published; scoped through an assessment |