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§ Private Profile · Menlo Park, CA, USA
TwinMind is a technology company.
TwinMind delivers an AI-powered personal assistant designed to function as a "second brain," capturing and contextualizing a user's spoken thoughts and digital interactions. Its core product, available as a mobile application and browser extension, passively records ambient speech from meetings, lectures, and conversations, alongside interpreting content from browser tabs, emails, and messaging platforms. The technology processes audio on-device in real time for privacy, generating summaries, action items, and providing answers based on the user’s accumulated personal knowledge graph, supporting a wide array of languages.
The company was co-founded in March 2024 by Daniel George, Sunny Tang, and Mahi Karim, all former AI scientists from Google X. George, TwinMind's CEO, conceived the idea while working at JPMorgan, recognizing the potential for an AI to seamlessly gather and contextualize personal information from daily interactions. His prior work included applying deep learning to gravitational wave astrophysics as part of the Nobel Prize-winning LIGO group, contributing to a strong technical foundation for the venture.
TwinMind primarily serves professionals, students, and individuals seeking to augment their memory and productivity. The company’s vision centers on empowering every person with an intelligent AI companion that comprehends their unique life story, retains memories, reflects their values, and proactively addresses their needs. This forward-looking approach aims to establish a universal context layer for personal AI.
TwinMind has raised $6.0M across 1 funding round.
TwinMind has raised $6.0M in total across 1 funding round.
TwinMind has raised $6.0M across 1 funding round. Most recently, it raised $6.0M Seed in June 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jun 1, 2025 | $6M Seed | Streamlined Ventures | Nyca Partners, RPM Ventures, Sequoia Capital | Announced |
TwinMind is a technology company building an AI-powered "second brain" designed to run quietly in the background of mobile devices, capturing ambient speech and digital context to create a unified, personalized memory and productivity assistant. Its product serves professionals, students, and creatives by transcribing, summarizing, and proactively assisting with daily interactions and research, all while prioritizing user privacy through on-device processing without sending raw audio to the cloud. TwinMind supports real-time transcription in over 100 languages, offline functionality, and integrates with browser activity via a Chrome extension to generate personalized insights across platforms like email, Slack, and Notion. Since its launch in March 2024, it has grown to over 30,000 users globally, with 15,000 monthly active users, demonstrating strong adoption and momentum[1][2][3].
TwinMind was co-founded in March 2024 by Daniel George (CEO) and his former Google X colleagues Sunny Tang and Mahi Karim (both CTOs), all AI scientists with backgrounds in moonshot projects at Google X and significant AI deployments impacting Wall Street. The idea emerged when George, working at JPMorgan, created a script to capture and transcribe meeting audio to save time, which evolved into a mobile app to run continuously and privately on personal devices. Early traction came from sharing the concept with peers and realizing the need for a privacy-focused, always-on assistant that could run natively on iPhones, overcoming technical limitations faced by competitors. The company quickly raised $5.7 million in seed funding led by Streamlined Ventures, with participation from Sequoia Capital and notable figures like Stephen Wolfram[1][3][4].
TwinMind rides the wave of ambient AI and edge AI, where AI processing moves from centralized cloud servers to users’ devices, improving privacy, reducing latency, and lowering costs. This shift aligns with growing concerns about data privacy and the demand for seamless, always-on AI assistants that proactively support users without explicit commands. The timing is critical as AI adoption accelerates in productivity tools, and users seek more integrated, context-aware digital experiences. TwinMind’s approach to building a "second brain" that understands and anticipates user needs positions it at the forefront of personalized AI companions, influencing how knowledge work and personal information management evolve in the broader ecosystem[2][3].
Looking ahead, TwinMind aims to deepen the seamless integration of its AI assistant across devices and platforms, enhancing its proactive capabilities and contextual understanding. Trends such as increasing edge AI adoption, privacy regulations, and demand for AI that augments human cognition will shape its trajectory. As it scales, TwinMind could redefine personal productivity and knowledge management, becoming an indispensable AI sidekick for millions. Its influence may expand beyond individual users to teams and enterprises, especially with planned features like fine-tuning for specialized domains (medical, legal). The company’s strong technical foundation and ethical stance on privacy position it well to lead the next generation of ambient AI assistants[1][2][5].
TwinMind has raised $6.0M in total across 1 funding round.
TwinMind's investors include Streamlined Ventures, Nyca Partners, RPM Ventures, Sequoia Capital.