TwinMind is a personal AI memory app that acts as a second brain, capturing and organizing the information that flows through your day so you never have to rely on imperfect human recall. Co-founded in March 2024 by former Google X scientists, the app runs quietly in the background and, with the user's explicit permission, listens to ambient speech across meetings, calls, and conversations. It transcribes that audio with high accuracy in more than 140 languages and weaves it into a personal knowledge graph that the user can later search and query.
The product spans multiple surfaces, including a mobile app, a Chrome extension, and a WhatsApp integration, so capture and retrieval fit naturally into existing routines. Beyond raw transcription, TwinMind automatically generates meeting summaries and extracts action items, drafts emails based on the content of prior conversations, and processes voice notes. A conversational interface lets users simply ask questions, such as what was decided in a meeting or what someone said about a topic, and get answers grounded in their own captured history.
Privacy is central to TwinMind's positioning. The company emphasizes user control and offers both local and cloud storage options, an important consideration given the sensitivity of continuously captured audio. This design reflects the core tension the product navigates: the more it hears, the more useful it becomes, but only if users trust how that data is handled.
TwinMind has grown to serve more than 400,000 professionals and students and continues to expand its platform support, including an Android release and a new in-house AI speech model. In September 2025 the company raised a $5.7 million seed round led by Streamlined Ventures, with participation from Sequoia Capital and notable individual investors including Stephen Wolfram, at a reported $60 million post-money valuation.
TwinMind is best suited for knowledge workers, students, and busy professionals who attend many meetings and want effortless, searchable recall of everything they discuss. Its bet is that an always-on, privacy-conscious memory layer can become as indispensable as a calendar, augmenting human memory rather than replacing it.