Metatext is a text and document processing tool built on specialized language models for domains where general-purpose LLMs tend to be error-prone, such as legal documents, financial reporting, and complex customer requests.
Domain-specific text classification
Metatext lets you fine-tune models for common classification setups and apply them to your own content.
- Binary classification
- Multiclass classification
- Multilabel classification
- Email/topic tagging
- Intent detection
- Sentiment tracking
- Industry-specific categories
Data extraction and document workflows
Use Metatext to pull key entities and facts from contracts, reports, and applications, and turn unstructured text into structured outputs.
- Entity and fact extraction from legal contracts
- Structured summaries for financial documents
- Support for workflows involving NASDAQ reports
Fine-tuning on your data with an API
You upload labeled examples, train a model for your domain, and receive an API to integrate the model into products or internal systems. This approach can reduce manual labeling and speed up processing for large volumes of text.
