How It Works?
For both developers and non-developers in mind, offering intuitive LLM-powered tool to create text classification models with minimal data, launch in minutes and let our world-class AutoNLP handle the heavy lifting.
Step by step
1. Create project
Select the AI engine that best suits your use case. Each one offers a set of tools to assist creating datasets and fine-tuning models.
- Classification
- Generation
- Extraction
2. Upload records
Upload text data in various file formats and annotate labels using our built-in text annotation tool with active learning and generative AI.
- Upload records from CSV or PDF
- AI-based text annotation
- Data quality reports
3. Start training
Automatically trains the best algorithm for your data, and as you annotate, the AI continuously improves. You can view predictions and metrics through our user-friendly interface.
- Train automatically as you annotate
- See predictions and metrics
- AI explainability reports
4. Integrate apps
Once the training is complete, the model is deployed in a production-ready endpoint. Integrate into your existing systems or third-party apps via APIs.
- Deploy automatically
- Production-ready endpoint
- Third-party apps via API
5. Curate and iterate
Curate your models through an iterative process. Upload new data, annotate, and change model parameters to achieve the best results.
- Iterative process
- Model calibration
- Version control
Built By Industry Experts
Classify and extract text 10x better and faster 🦾
Metatext helps you to classify and extract information from text and documents with customized language models with your data and expertise.