TwinMind AI
Category: AI Agents
An AI-powered 'second brain' that passively captures and transcribes ambient audio to create a personal knowledge graph, providing real-time summaries and proactive insights. TwinMind AI was founded in 2024. The company is led by Daniel George. Based in Menlo Park, United States. Team size: 11-50. Total funding raised: $5.7 million. Latest round: Seed. Key investors include Streamlined Ventures, Sequoia Capital, Stephen Wolfram, Anand Rajaraman, Dan Roth, Michael Liou, Gautam Prakash, Hanhan Xu.
- Founded
- 2024
- Headquarters
- Menlo Park, United States
- Team size
- 11-50
- Total funding
- $5.7 million
Value proposition
To provide users with a trusted AI assistant that remembers all their important conversations, helps them recall information effortlessly, and proactively offers suggestions to enhance their productivity and knowledge management.
Products and solutions
TwinMind iOS App, TwinMind Android App, TwinMind Chrome Extension, TwinMind Email Automation, TwinMind MCP Integration, TwinMind Phone Call Recording, TwinMind WhatsApp Integration
Unique value
The key differentiator is the app's ability to passively and continuously capture ambient audio (with user permission) to build a comprehensive personal knowledge graph. It operates in the background to record, transcribe, and summarize real-world conversations, not just online meetings.
Target customer
Knowledge workers, students, and professionals who want to improve their personal productivity by capturing and organizing information from meetings, lectures, and conversations.
Industries served
Technology, Education, Business Professionals (General)
Technology advantage
The core advantage lies in their proprietary speech recognition model and the AI's ability to proactively provide insights and suggestions based on the user's personal knowledge graph. The founding team's experience at Google X provides a strong technical foundation.
How they differentiate
TwinMind differentiates itself by being an 'always-on' passive audio capture tool, acting as a continuous 'second brain' rather than a tool for specific meetings. It uses a native Swift-based mobile app for better battery efficiency and processes audio on-device to enhance privacy. This allows it to capture all-day context, not just siloed conversations.
Main competitors
Otter.ai, Fireflies.ai, Granola
Key partnerships
Information not publicly available.
Notable customers
Not publicly available
Major milestones
Raised a $5.7 million seed round at a $60M valuation (Sep 2025)., Launched iOS, Android apps and Chrome extension., Founded by former Google X scientists., Launched Ear-3 proprietary AI speech model with 5.26% WER., Reached 400,000+ total users and 130,000+ MAUs., Launched Email Automation, MCP, Phone Call Recording, and WhatsApp features., Set world record in speech recognition for 140+ languages.
Growth metrics
The app has attracted 400,000+ users (as of 2026) with 130,000+ monthly active users, per CEO LinkedIn and website.
Market positioning
TwinMind is positioned as a personal AI assistant that proactively helps users by understanding the full context of their day-to-day conversations and activities, aiming to be a more integrated and holistic 'second brain' compared to competitors focused on meeting transcription.
Geographic focus
The company is based in Palo Alto, United States, and its initial market focus appears to be on the US.
Patents and IP
Information not publicly available.
About Daniel George
AI Scientist at Google X, Vice President at JPMorgan Chase, Researcher at MIT
Official website: https://twinmind.com/