Metatext is an AI-powered tool for classifying and extracting information from text and documents using custom-trained Large Language Models (LLMs). It's designed for various domain-specific problems, like classifying customer emails, extracting key terms from legal contracts, or summarizing specific format reports. Users can fine-tune models effortlessly using a no-code interface, distilling their data into private, scalable, custom models. Whether you need Binary, Multi-class, Multi-label, Sentiment, Topic, or Intent classifications for your text, Metatext can handle it. Users can train models with less data and annotation time, evaluate them for enhancing trustworthiness, and deploy them efficiently. This deployment can be integrated into your systems via an API, Zapier, Google Sheets, Docker, AWS, and Hugging Face. Additionally, Metatext offers task-specific LLMs within a no-code platform for automating business processes. Its use cases extend to customer support, insights, content moderation, healthcare, finance, and HR.
Collaborative Integration: WorkTag operates within Slack, allowing users to tag the AI assistant in any channel for collaborative tasks without needing to switch applications.
Contextual Awareness: The application retains the context of conversations within channels, ensuring that all interactions and artifacts are accessible to team members.
Admin Console: Provides governance features for administrators, including the ability to manage approved tools and skills, as well as audit usage and costs per channel.
Real-time Collaboration: Team members can interact with the AI assistant simultaneously, allowing for corrections and contributions during its operations.
Cost and Usage Audits: Administrators can view detailed reports on channel activity, including costs, usage statistics, and installed skills, facilitating financial oversight.
Collaborative Task Management: Teams can use WorkTag in Slack to summarize discussions, draft documents, and manage project timelines collaboratively within channels.
Contextual Information Retrieval: WorkTag can pull relevant information from previous messages and external documents (e.g., Google Drive) to provide contextually accurate responses and updates.
Channel-Specific Governance: Administrators can manage which channels have access to specific tools and skills, ensuring compliance and control over AI usage.
Usage Auditing: WorkTag allows for tracking and auditing of costs and usage metrics per channel, providing insights for financial and resource management.
Real-Time Collaboration: Team members can interact with WorkTag in real-time, allowing for immediate feedback and adjustments to ongoing tasks without leaving the Slack environment.
Provides a comprehensive comparison of large language models (LLMs) based on cost, performance, and context, enabling users to find the best value.
Centralizes access to a wide range of AI resources, including models, datasets, benchmarks, tools, and job listings, streamlining the research and development process.
Continuously updates pricing and benchmark data, ensuring users have access to the latest information for informed decision-making.
Facilitates quick identification of the most suitable models for specific use cases, such as coding or long context requirements.
Offers a searchable directory of AI jobs, helping users find relevant employment opportunities in the AI field.
Claude Opus 4.6 (Fast) is priced at $150.00 per million tokens.
Gemini 3.5 Flash is priced at $9.00 per million tokens.
Qwen 3.7 Max Thinking is priced at $7.50 per million tokens.
Claude Opus 4.7 is priced at $30.00 per million tokens.
Claude Fable 5 is priced at $10.00 per million tokens.
