Capabilities and workflow
| Criterion | StayCharted AI Model Trainer | Labelbox |
|---|---|---|
| Who uses it | Business and operations teams training category models, with developer access through the API.StayCharted documentation | AI and data teams, annotation managers and labelers working on datasets and model evaluation.Platform workflows · checked October 8, 2026 |
| Primary workflow | Train a classifier on approved categories, evaluate it and process new files or API requests.StayCharted documentation | Data labeling, curation and model-development workflows, including post-training tasks.Platform scope · checked October 8, 2026 |
| Human input | Your team supplies examples, checks predictions and corrects category labels.StayCharted documentation | Internal teams, external vendors or Labelbox labeling services can annotate data.Annotation services · checked October 8, 2026 |
| Labeling scope | Category labels for text or whole images. No bounding-box, segmentation or audio annotation workflow.StayCharted documentation | Editors cover computer vision, natural language, multimodal chat and LLM evaluation.Labeling editors · checked October 8, 2026 |
| Model review | Held-out classification results and label corrections support subsequent training runs.StayCharted documentation | Custom-model predictions and error analysis support model evaluation.Custom model evaluation · checked October 8, 2026 |
| Assistant access | Claude directory connector; ChatGPT custom app while directory review is pending. Workspace, model and role permissions apply.StayCharted documentation | Assistant access to project progress, quality and tools under existing permissions.Assistant connection · checked October 8, 2026 |
Fit by requirement
StayCharted
A business team already has category examples and wants a hosted classifier for new text rows or pictures.
Labelbox
An AI team needs annotation operations, expert labeling, dataset curation or evaluation across broader model-development tasks.
Before choosing
Test both workflows on the same separate examples. Compare category errors, review effort, integration and total operating cost.
StayCharted plans and workflow
Free covers text and includes up to one AI Classifier Model. Essentials is $49/month and Business is $99/month per workspace. Pictures require Vision: +$49/month on Essentials or +$99/month on Business. Dedicated AI Models require Business. Prices are USD.
- Every training run reports accuracy on examples not used to train the model, overall and by category. Answers include confidence.
- Data-quality checks and personal-information masking before text training are available on every plan.
- On Essentials and Business, answers below your review cutoff go to a Review Queue. Grouping unlabeled examples into suggested categories is also included; pictures require Vision.
- Picture checks flag near-duplicates and potentially mislabeled examples. Location metadata is stripped from the copies used by the model; original uploads are retained unchanged until deletion.
StayCharted is a hosted service, with no on-premises application deployment or trained-model import. Standard workspace exports do not contain runnable models. Under Terms §6.3, an Owner can download a Dedicated model adapter after moving to a plan that no longer trains Dedicated models; running it elsewhere requires the exact base model and your own inference software.
Compare plans and allowances · Export conditions · Data handling
Common questions
Is Labelbox only a manual labeling tool?
No. Its documentation includes automation, model-assisted workflows, data curation and model evaluation as well as human annotation.
Can Labelbox and StayCharted be used together?
Potentially. Reviewed category labels can become training examples after export and conversion to a supported StayCharted format. No native Labelbox connector or automatic migration is claimed here.
Does StayCharted replace expert data labeling services?
No. Your team remains responsible for approving labels. On Essentials and Business, StayCharted can group unlabeled rows, or pictures with Vision, into suggested categories to help you start. Review those groups before training.
Which product is better for my project?
Choose according to the work required: operating a category model on new items, or creating and evaluating training data across a wider AI development process. Test the actual workflow and confirm plan requirements.