Cloudfactory

Turn messy data into model-ready assets without pausing your roadmap. With Cloudfactory, you begin by defining the outcome: what needs to be labeled or processed, how it will be measured, and when it must be delivered. Upload samples, outline your taxonomy, set acceptance rules, and choose throughput targets. A dedicated team is assembled around your brief, and you control the pipeline through dashboards, SLAs, and API hooks. Use labels to tag priority items or tricky categories so they’re easy to route and review. Edge cases are captured in a shared playbook, and changes to guidelines propagate to the team in minutes. You can run one-off pilots, schedule recurring batches, or stream tasks in real time from your data store.

For vision teams, the workflow is built for speed and precision. Create projects for images or video, specify drawing tools—boxes, polygons, keypoints, masks—and attach class definitions and attributes. Start with a pilot round, leave frame-specific comments inside the annotation tool, and iterate until examples reflect ground truth. Quality is enforced with consensus review, gold checks, and layered auditing, while ambiguous items auto-escalate for adjudication. Occlusions, tiny objects, and fast motion are handled with frame-by-frame controls. When you’re satisfied, export to COCO, YOLO, or TFRecord, keep versions for each training sprint, and wire exports into your model training jobs via webhooks. more