Anote offers a Human Centered AI platform that enables precise text classification, entity extraction, and question answering using fine-tuned large language models (LLMs). By leveraging their API, users can train models with their own data, achieving up to 90% accuracy improvement while significantly reducing time and costs associated with data processing.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle with the accuracy and efficiency of text classification, entity extraction, and question answering tasks when using generic large language models (LLMs). Training these models often requires significant time, resources, and expertise in data processing and model fine-tuning.
Solution
Anote provides a human-centered AI platform that enables users to fine-tune LLMs with their own data for precise text classification, entity extraction, and question answering. The platform's API allows users to train supervised or unsupervised models, achieving significant improvements in accuracy while reducing the time and costs associated with data processing. By fine-tuning LLMs with proprietary data, users can build custom GPT models that accurately chat with documents while maintaining data privacy and security.
Target Audience
Anote's primary customers are organizations that require accurate and efficient text processing capabilities, including sentiment analysis, document classification, and question answering, and are looking to leverage LLMs with fine-tuning.
Features
- API for training supervised and unsupervised models
- Fine-tuned LLMs for text classification, entity extraction, and question answering
- Sentiment analysis capabilities
- Document classification features
- Named entity recognition functionality
- Text summarization tools
- Semi-structured prompting capabilities
- Secure and private data handling