Ansvery AI is an innovative sentiment analysis Chrome extension that uses artificial intelligence to interpret the emotional tone behind customer feedback and comments. This tool provides immediate insights into the sentiments expressed in text, allowing businesses and individuals to gauge reactions effectively. Whether analyzing feedback from customers, social media comments, or general interactions, Ansvery AI simplifies the process and enhances decision-making by providing detailed sentiment metrics.

TwinMind is an AI-powered second brain designed for professionals and students. It transcribes unlimited meetings, conversations, and lectures for free, allowing you to ask your AI twin anything about your memories. TwinMind facilitates productivity by providing accurate summaries, drafting follow-up emails, creating reports, and generating proactive suggestions. It integrates seamlessly across devices through its Chrome extension, enabling users to transcribe video calls, chat with tabs and PDFs, and much more.

VoxNote is an innovative mobile application designed to enhance your phone call experience with AI technology. The app automatically records and transcribes your phone calls, providing accurate summaries and creating to-do lists based on your conversations. This ensures that tasks and follow-ups are efficiently captured, making your communication more productive. VoxNote also offers features like sharing summaries via email or SMS, choosing local or international numbers, and displaying your name on outbound calls. The app's intuitive interface ensures a seamless user experience while keeping all your call summaries in one easily accessible place.

Memonto functions as a middleware library for AI agents, orchestrating the complete memory lifecycle. During each conversation turn, it records user and AI messages, distills salient details, and generates concise summaries. These summaries are converted into embeddings and stored in vector databases or file-based stores. When constructing new prompts, Memonto performs semantic searches to retrieve the most relevant historical memories, enabling agents to maintain context, recall user preferences, and provide personalized responses. It supports multiple storage backends (SQLite, FAISS, Redis) and offers configurable pipelines for embedding, summarization, and retrieval. Developers can seamlessly integrate Memonto into existing agent frameworks, boosting coherence and long-term engagement.