llms.txt
# StayCharted AI Model Trainer
> No-code text and image classification trained on your own labeled examples.
## Comparisons
- [StayCharted vs Amazon SageMaker Canvas](https://staycharted.com/compare/staycharted-vs-sagemaker-canvas): Compare no-code classification, data imports, evaluation, deployment and billing.
- [StayCharted vs Google Teachable Machine](https://staycharted.com/compare/staycharted-vs-teachable-machine): Compare image-model training, supported inputs, deployment and recurring classification workflows.
- [StayCharted vs Labelbox: Classification and Labeling](https://staycharted.com/compare/staycharted-vs-labelbox): Compare category prediction workflows with data annotation, curation and model evaluation.
- [Compare AI classification platforms](https://staycharted.com/compare): Choose a workflow using setup, evaluation, review and integration requirements.
- [StayCharted vs Nyckel](https://staycharted.com/compare/staycharted-vs-nyckel): Sourced feature and plan comparison, checked October 8, 2026.
- [Levity alternatives](https://staycharted.com/compare/levity-alternatives): Classification options and a practical evaluation checklist.
## Product and resources
- [Investment screening for PE and VC](https://staycharted.com/solutions/investment-screening-pe-vc): Categorize company summaries by mandate fit, investment theme or diligence topic; train on reviewed labels and keep investment decisions with your team.
- [Classify to industry standards](https://staycharted.com/product-classification-standards): Train on reviewed ETIM, ECLASS, GS1 GPC or HS codes; compare workflows, data preparation and human-review requirements.
- [StayCharted Blog](https://staycharted.com/blog): Practical AI tips, workflow ideas, and company updates.
- [How AI Model Trainer works](https://staycharted.com/product): Turn labeled text or pictures into a model that applies your categories to new records. Prepare examples, train, check the results, and put the model to work.
- [Choose the model for your examples](https://staycharted.com/product/models): Compare AMT’s text and picture models: what they learn, when to try them, and which plans include them.
- [Security and your data](https://staycharted.com/security): Understand how StayCharted handles model data, workspace access, masking, assistant connections, and deletion.
- [Work with AMT through Claude and ChatGPT](https://staycharted.com/product/ai-assistants): Use a conversation to inspect your models, understand training results, and work with your labeled data while AMT supplies the classification model.
- [Contract clause classification for legal teams](https://staycharted.com/solutions/legal-contract-clause-classification): Train on clauses your team has labeled to organize contract text into your own taxonomy and direct uncertain results to review.
- [Classify banking and fintech customer messages](https://staycharted.com/solutions/banking-customer-message-classification): Learn intent categories from labeled customer messages to help support teams route work and review uncertain cases.
- [Product categorization for retail and e-commerce](https://staycharted.com/solutions/ecommerce-product-categorization): Apply your catalog taxonomy to product descriptions or photos using models trained on examples your team has already categorized.
- [Expense and invoice classification for finance teams](https://staycharted.com/solutions/expense-invoice-classification): Learn expense categories from approved descriptions and supplier data, then suggest consistent labels for new rows.
- [Add customer-specific classification to your software](https://staycharted.com/solutions/for-software-companies): Use StayCharted AMT to train and measure category models, then call them from your application through the API.
- [AI classification benchmarks on real data](https://staycharted.com/insights/benchmarks): Compare measured text and image classification results, the data behind them, and the review work that remains.
- [How AI Model Trainer works behind the scenes](https://staycharted.com/insights/how-it-works): Explore the design decisions behind AMT’s text classifiers and personal-information checks.
- [Plans and pricing](https://staycharted.com/pricing)
- [API reference](https://staycharted.com/developers)
- [Claude and ChatGPT setup](https://staycharted.com/guides/ai-assistants)
- [Release notes](https://staycharted.com/release-notes)
- [Privacy Policy](https://staycharted.com/legal/privacy)
- [Data Processing Addendum](https://staycharted.com/legal/dpa)
## Blog
- [Why taxonomy matters to every business](https://staycharted.com/blog/why-taxonomy-matters): How categories affect reporting, fees and compliance, with practical steps for consistent classification and human review.
- [Claude in Google Sheets and your trained AI model](https://staycharted.com/blog/claude-google-sheets-trained-ai-model): How conversational help and trained categories can complement each other. StayCharted’s Sheets add-on is available from the Google Workspace Marketplace; the Claude sidebar workflow still needs validation.
## Articles and measured results
- [Claude vs. trained classifiers](https://staycharted.com/insights/assistant-vs-trained-model-benchmark): BANKING77 84.7% vs 93.7%; LEDGAR 76.9% vs 84.9%; Medical Abstracts 65.7% vs 63.6% (Claude vs Dedicated AI Model). Different training inputs; full method and limits.
- [Food grading by photo](https://staycharted.com/insights/food-grading-image-classification): 98.7% fruit accuracy; cashew defects found: 65% Dedicated versus 40% classifier.
- [Contract clauses on LEDGAR](https://staycharted.com/insights/legal-clause-classification-ledgar): 84.9% Dedicated versus 82.7% words plus meaning across 100 clause types.
- [SigLIP 2 versus DINOv2](https://staycharted.com/insights/why-amt-image-model-uses-siglip-2): 91.1% product-photo accuracy for SigLIP 2; DINOv2 base led on pet breeds at 96.0%.
- [Words and meaning for text classification](https://staycharted.com/insights/why-ai-classifier-uses-words-and-meaning): 92.6% words plus meaning versus 91.0% meaning alone on BANKING77.
- [Banking intent classification](https://staycharted.com/insights/ai-for-banking-support): 93.7% measured accuracy across 77 intents; review outcomes are projections.
- [PII Masking for AI Training](https://staycharted.com/insights/sensitive-data-check-before-ai-training): Pattern-based checks on every plan; no measured detection-accuracy claim. Names and free-text health details are not detected.
- [Medical abstract classification](https://staycharted.com/insights/life-sciences-medical-abstract-classification): 63.6% fine-tuned versus 60.0% embeddings; 78.7% reviewed for projected 97.5%, assuming flagged errors are corrected.
## Product taxonomy workflows
- [ETIM Classification with AI for Supplier Catalogs](https://staycharted.com/blog/etim-classification-ai): ETIM classification for wholesalers and manufacturers: train on approved class codes, classify supplier catalogs, and review predictions with confidence scores.
- [ECLASS Classification with AI for Product Master Data](https://staycharted.com/blog/eclass-classification-ai): ECLASS classification for manufacturers and procurement teams: learn from approved material codes, classify new items, and review uncertain predictions.
- [GS1 GPC Brick Classification with AI](https://staycharted.com/blog/gs1-gpc-brick-classification-ai): GS1 GPC brick classification for brands and retailers: train on approved brick codes, suggest categories for new products, and review supplier catalog data.
- [HS Code Classification: AI Suggestions for Review](https://staycharted.com/blog/hs-code-classification-ai): HS code classification support for importers: train on reviewed import history, suggest tariff codes, and keep final decisions with your compliance team or broker.
## Get started
- [Do I need a trained model?](https://staycharted.com/guides/assistant-or-classifier): Compare assistants and trained classifiers using examples, evaluation, review effort and data-control requirements.
- [Logistics and transportation](https://staycharted.com/solutions/logistics-transportation-classification): Classify shipment exceptions, 3PL requests, and trucking reports using reviewed examples.
- [Returns and reverse logistics](https://staycharted.com/solutions/returns-reverse-logistics-classification): Categorize return reasons, visible conditions, and inspection findings for review.
- [Automotive: parts, service and warranty](https://staycharted.com/solutions/automotive-classification): Categorize supplier part descriptions, reported service concerns, and warranty claim records using approved examples.
- [StayCharted vs Microsoft AI Builder](https://staycharted.com/compare/staycharted-vs-microsoft-ai-builder): Compare custom text classification in StayCharted with Microsoft AI Builder: training data, Power Automate workflows and confidence scores.
- [StayCharted vs Amazon Comprehend](https://staycharted.com/compare/staycharted-vs-amazon-comprehend): Compare custom text classification in StayCharted and Amazon Comprehend: labeled examples, console setup, APIs and application integration.
- [StayCharted vs Roboflow for Image Classification](https://staycharted.com/compare/staycharted-vs-roboflow): Compare StayCharted and Roboflow for image classification, annotation, model training and deployment. Distinguish category prediction from object detection.
- [Azure Custom Vision alternatives](https://staycharted.com/compare/azure-custom-vision-alternatives): Image classification migration options ahead of the September 25, 2028 retirement.
- [SharePoint access with Power Automate](https://staycharted.com/guides/sharepoint-access-power-automate): Suggest groups and permission levels for new files from your permission history; route wider access for approval.
- [AI-ready file data](https://staycharted.com/blog/ai-ready-file-data): Build consistent document categories from prepared text; use your existing systems for extraction, indexing and permissions.
- [StayCharted AI Model Trainer for Google Sheets](https://workspace.google.com/marketplace/app/staycharted_ai_model_trainer/622961385348): Install the published add-on from the Google Workspace Marketplace. Free of charge with paid features.
- [MonkeyLearn alternative](https://staycharted.com/compare/monkeylearn-alternative): Custom text classification in Google Sheets, feedback topics and ticket intent; migration from labeled examples, not trained-model import.
- [File & SharePoint permissions](https://staycharted.com/solutions/file-permissions): Learn access categories from permissioning history; apply approved results with your own systems.
- [Access permissions benchmark](https://staycharted.com/insights/access-permissions-benchmark): 97.8% accuracy on 72,700 held-out group decisions; 5.9% review gives projected 99.4%.
- [Customer reply selection](https://staycharted.com/solutions/customer-reply-selection): Train a private classifier to choose an approved reply type and owner from past messages. Returns the reply name; your system maps it to template text and sends it.
- [Partners](https://staycharted.com/partners): For SharePoint administrators, consultants and service providers; customer workspaces, file permission suggestions and partner inquiries.
- [AI adoption for SharePoint resellers, VARs and MSPs](https://staycharted.com/blog/sharepoint-partners-resellers-vars-msps-ai): Model customer access decisions and repetitive tasks, connect review workflows, and organize customer workspaces.
- [Access request approval benchmark](https://staycharted.com/insights/access-request-approval-benchmark): 79.1% routine; 278 of 381 denials routed to review, 103 missed. Application-resource dataset.
- [NTFS permissions and access requests](https://staycharted.com/blog/ntfs-access-requests-ai): Learn past decisions to prioritize review; existing approvers retain authority.
- [Best practices for training a private AI classifier](https://staycharted.com/guides/best-practices): Prepare labeled examples, compare models, read category accuracy, set review cutoffs and retrain from corrections.
