Pragma
About Pragma
Pragma serves as your organization's knowledge assistant, seamlessly integrating with tools like Slack to provide instant information access. Ideal for teams seeking efficiency, Pragma allows users to train AI on their data, enhancing the quality of responses.
Pragma offers flexible pricing plans tailored to organizational needs, ensuring value for different team sizes. Users can choose subscription tiers that unlock additional features, promoting enhanced workflow and knowledge management. Upgrading brings advanced tools for maximizing productivity.
Pragma's user interface is designed for intuitive navigation, providing a seamless experience that enhances productivity. Key features include chatbots and integrations that cater to diverse organizational needs, making it easy for teams to find and manage information effectively.
How Pragma works
Users on Pragma start by onboarding their data and integrating it with platforms like Slack. They can then create custom chatbots that help automate information retrieval and streamline communication. The intuitive interface allows for easy access to knowledge sources, supporting continuous learning as user feedback improves the AI's responses.
Key Features for Pragma
Custom Chatbots
Pragma's custom chatbots enable organizations to automate information retrieval directly in Slack. These tailored assistants empower teams, ensuring quick access to vital knowledge and enhancing overall productivity while adapting to specific business needs effectively.
Website Loader Integration
The Website Loader feature of Pragma allows teams to load competitor websites into the platform. This functionality provides valuable insights and analysis, enhancing strategic decision-making by understanding competitor offerings and identifying unique selling points effectively.
User Feedback Loop
Pragma incorporates a user feedback loop, allowing teams to enhance the AI's knowledge base. When users mark responses as unhelpful, those insights refine the knowledge repository, ensuring continuous learning and improved data quality over time.
