MeetSummary is an AI-driven tool designed to enhance productivity by creating accurate and reliable summaries of your meetings. It automatically captures important points, decisions, and action items from your meetings, ensuring that all attendees are on the same page. Just invite MeetSummary to your meeting, and it will listen, transcribe, and deliver a comprehensive summary, allowing you to focus on the discussion without worrying about missing important details.

Paxo is a purpose-built AI application designed to streamline the note-taking process during meetings. It automates the capturing of key decisions, action items, and speaker attributions, aiming to provide users with comprehensive and organized meeting notes swiftly and efficiently. By leveraging cutting-edge voice identification technology, Paxo can accurately attribute statements to respective speakers, making it an indispensable tool for maintaining clarity and focus in in-person conversations.

Patsa is a cutting-edge AI copilot designed to streamline online meetings. By integrating seamlessly with popular video conferencing tools, it listens to ongoing conversations, interprets discussions, and delivers instant information and answers to user queries. This tool aims to enhance communication efficiency and help participants stay focused on key topics by reducing distractions and information overload. With Patsa, users can improve their meeting experiences by gaining insights and accessing relevant data in real time, making meetings more productive and engaging.

VideoSDK AI Agent Demo combines the power of VideoSDK’s real-time video infrastructure with AI services to create an intelligent virtual assistant for group video calls. The demo features live speech-to-text transcription, enabling participants to read captions in multiple languages through on-the-fly translation. After each session, the agent generates concise meeting summaries highlighting key discussion points and action items. Users can pose natural language questions during calls, and the AI chatbot responds contextually using conversation history. Built using React for UI and Node.js for backend integration with OpenAI APIs, this demo provides a modular architecture for developers to extend or adapt features such as sentiment analysis, custom prompts, and multi-language support, accelerating the creation of AI-driven video collaboration tools.