If you want to automate text classification, tagging and generation for your operations team, Metatext is a great option. The platform lets you create your own NLP models using large language models (LLMs) to automate workflows. It can handle a range of tasks like text classification, tagging and generation, making it a good fit for customer support, customer insights, content moderation, healthcare, finance and human resources. Metatext offers several pricing options and tools to create and train datasets, integrate with other systems and supports multiple languages.
Another good option is NuMind, a machine learning platform that lets you create text processing models without writing any code. NuMind combines LLMs with interactive AI development to build high-quality text-understanding models that are fine-tuned for your specific needs. It supports multilingual operations, offers privacy protection and has a range of use cases including text classification, content moderation, sentiment analysis and more. NuMind offers flexible pricing options, from a free Hobbyist plan to a custom Enterprise plan for more advanced NLP use cases.
If you want a collaborative AI workspace, check out TeamAI. The platform lets teams work together with LLMs like Gemini, GPT-4 and LLaMA, automating workflows and boosting creativity. It comes with features like centralized AI workspaces, shared prompt libraries and custom plugins to build AI assistants. TeamAI is geared for HR & Ops, Design, Hiring, Marketing and Sales teams, so it's a good fit for automating and optimizing many business processes.
If you're looking for a no-code text analytics tool, MonkeyLearn is a good option. It offers immediate insights into data through customizable charts and visualizations. MonkeyLearn's pre-trained and custom machine learning models can handle text classification and data extraction. It integrates with many apps and business intelligence tools, including Zendesk, Freshdesk and Google Sheets, so you can easily plug it into your existing workflow and automate text analysis tasks.