The dataset-to-model workspace
for visual AI.
Anastig Studio brings together datasets, annotation, preprocessing, augmentation, export, and model orchestration in one workspace. Annotation is only one module.
Everything from image to inference.
Each module is independent. Start with annotation and export; connect training workers and deployment later.
Annotation Studio
Bounding boxes, classification, keypoints, and polygon annotation.
Open moduleTraining
Connect GPU workers and launch model training jobs.
On the roadmapDeployment
Deploy to APIs, edge devices, Docker, and embedded hardware.
On the roadmapEvaluation
mAP, precision/recall, confusion matrices, and model comparison.
On the roadmapWorkflows
Build multi-step visual AI pipelines with a visual canvas.
On the roadmapBuilt to stay out of your way.
Canvas work stays in the browser
Annotation, export, validation, and label operations run entirely in your browser. No server round-trips while you draw.
GPU stays external
Training and inference never run on the web server. Connect your own GPU workers or use cloud workers when ready.
Data stays in your boundary
Images stay in your browser in demo mode. In production, your data lives in your tenant and is never used to train shared models.
Start with annotation. Scale from there.
Open the demo to annotate your own images now, or request a pilot to scope a complete dataset-to-model workflow.