Metatext

With Metatext, you can build and manage your own custom NLP models that are fine-tuned for your specific use case. By using large language models (LLMs) as a foundation, it lets tech teams automate workflows through text classification, tagging and generation. The tool makes it easier to fine-tune models for your own data and domain.

Metatext can handle a variety of NLP tasks:

• Text Classification: Classify any text or document into categories like binary, multi-class, multi-label, sentiment, topic and more.
• Text Tagging: Extract, normalize and structure key information from text or documents.
• Text Generation: Create text from scratch or fine-tune LLMs for your own domain.

The platform lets you build models without needing to be a coding expert. You can tell the model what you need, and it will train and fine-tune itself based on your data and expertise. That's particularly useful for business teams trying to automate operations.

Some examples of real-world use cases include:

• Customer Support: Classify and respond to customer tickets quickly.
• Customer Insights: Categorize reviews by topic, issue, sentiment and engagement.
• Content Moderation: Automatically detect and remove inappropriate, offensive or harmful content.
• Healthcare: Extract key information from medical records, lab reports and patient feedback.
• Finance: Analyze market sentiment, reports and customer feedback to inform investment decisions.
• Human Resources: Identify the best-fit candidates by matching skills, experience and qualifications to job requirements.

Metatext offers several pricing tiers to suit different needs and scale:

• Starter: $35 per month, 5000 credits per month, up to 5 projects, up to 1,000 records per project.
• Pro: $295 per month, everything in Starter, plus 160,000 credits per month, unlimited projects, up to 10,000 records per project.
• Enterprise: Custom pricing for large-scale needs, including on-premise deployment and dedicated AI engineers.

Metatext is designed to be easy to use, so both developers and non-developers can get started. It supports multiple languages and includes intuitive tools for creating datasets, fine-tuning models and integrating with existing systems. For those who need a little help, the platform includes a wealth of tutorials and FAQs to help with the onboarding process.

For teams looking to automate workflows with custom NLP models, Metatext makes it easier to build and manage the custom language models that are tuned for a particular domain.

Published on June 14, 2024