Three former Google X scientists have launched a startup called TwinMind and successfully raised $6 million in seed funding to develop an AI-powered app designed to act as a user's virtual second brain. Unlike sci-fi concepts of brain implants, TwinMind works by passively listening to ambient speech throughout the day—with user permission—to create a personal, contextual knowledge graph that helps users capture and organize their thoughts, meetings, lectures, and conversations automatically[1].
TwinMind was co-founded in March 2024 by Daniel George (CEO)...
TwinMind was co-founded in March 2024 by Daniel George (CEO) along with Sunny Tang and Mahi Karim (both CTOs), all of whom previously worked at Google X, the innovation arm of Google known for moonshot projects. The app runs quietly in the background on smartphones, continuously capturing audio and converting it into structured memory without requiring active input from the user. This allows it to generate AI-powered notes, to-do lists, and provide on-demand answers based on the user's personal data[1].
One of the key innovations behind TwinMind is its ability to...
One of the key innovations behind TwinMind is its ability to run offline and process audio in real time directly on the device, preserving privacy and reducing reliance on cloud services. The team built a native iPhone service in Swift that can capture audio continuously for 16 to 17 hours without draining the battery significantly, setting it apart from competitors that rely on cloud processing and face limitations running in the background on iOS[1].
The app also supports real-time translation in over 100 lang...
The app also supports real-time translation in over 100 languages and includes features such as backup options for user data, enabling recovery if a device is lost. However, users can opt out of data backup to maintain full control over their information. TwinMind aims to differentiate itself from AI meeting note-takers like Otter, Granola, and Fireflies by offering continuous passive audio capture rather than capturing only scheduled meetings or conversations[1].
This development comes amid a broader surge of AI innovation...
This development comes amid a broader surge of AI innovation and investment, as companies race to create AI tools that seamlessly integrate into daily life to augment human cognition and productivity. The $6 million funding round underscores investor confidence in TwinMind's vision of transforming how people manage and recall information through ambient AI technology[1].
🔄 Updated: 9/10/2025, 1:20:10 PM
Former Google X scientists have raised $6 million in funding to develop an AI system designed to serve as a "virtual second brain," enhancing human cognition by assisting memory, decision-making, and productivity. This development aligns with the broader AI surge, including Google's AI Futures Fund supporting innovative AI startups with access to DeepMind models like Gemini, underscoring the intense investment momentum in advanced AI technologies during 2025[2][3].
🔄 Updated: 9/10/2025, 1:30:24 PM
Former Google X scientists have raised $6 million to develop an AI designed to act as a "virtual second brain," aiming to enhance human productivity and cognitive capacity. Public reaction shows cautious optimism, with early adopters intrigued by the promise of personalized AI assistance but some expressing concerns about privacy and overreliance on technology. One tech analyst commented, “This could redefine how we manage information daily, but users must remain aware of data security”[5].
🔄 Updated: 9/10/2025, 1:40:25 PM
Former Google X scientists have raised $6 million to develop an AI that functions as a virtual "second brain," aiming to enhance cognitive capabilities globally. This breakthrough has drawn international attention amid a competitive AI investment landscape, with key players like Google investing $75 billion and China’s DeepSeek emerging as a cost-effective AI disruptor. The startup’s innovation is expected to influence global AI adoption by providing personalized cognitive support, potentially transforming how people worldwide interact with technology[3][2].
🔄 Updated: 9/10/2025, 1:50:24 PM
Former Google X scientists’ startup TwinMind raised $5.7 million in seed funding, attracting attention with its AI-powered "second brain" app that passively captures background speech to build personalized knowledge graphs[2]. Public reaction highlights strong user engagement, with over 30,000 users and 15,000 monthly actives, including professionals (50-60%), students (25%), and personal users like the CEO’s father, who uses it to write his autobiography[2]. Users praise its continuous 16-17 hour audio processing without draining battery, a technical feat overcoming Apple's restrictions, signaling high consumer interest in practical, everyday AI assistance[2].
🔄 Updated: 9/10/2025, 2:00:24 PM
Three former Google X scientists have raised $5.7 million in a seed round led by Streamlined Ventures, with Sequoia Capital participating, to develop TwinMind, an AI-powered "second brain" that passively captures background speech and builds personalized knowledge graphs, currently valued at $60 million post-money[2]. This innovation, enabling 16-17 hours of continuous audio processing without heavy battery drain, has attracted over 30,000 users globally, including professionals, students, and personal users, signaling growing international interest in AI that enhances personal productivity[2]. The funding and technical breakthrough reflect a notable global stride in AI development, with strategic investments by leading venture capital firms and adoption among diverse user groups worldwide[2].
🔄 Updated: 9/10/2025, 2:10:34 PM
Former Google X scientists have raised $6 million in a seed round, led by Streamlined Ventures with Sequoia Capital backing, to develop TwinMind, an AI acting as a virtual second brain that continuously processes 16-17 hours of background audio to build personalized knowledge graphs—a breakthrough overcoming Apple’s restrictions through novel low-level Swift coding[2]. Valued at $60 million post-money with over 30,000 users, TwinMind enters a competitive AI landscape marked by massive investments from tech giants, including Google's $75 billion AI spend and Microsoft’s $80 billion AI infrastructure plans, intensifying pressure on startups to pioneer unique, user-centric capabilities amid a crowded market[2][3]. This fresh funding highlights a shift towards highly personalized
🔄 Updated: 9/10/2025, 2:20:40 PM
Former Google X scientists have raised $6 million to develop an AI virtual second brain amid a complex U.S. regulatory landscape where federal AI legislation is still pending. While the government currently relies on existing laws, a recent Senate vote overwhelmingly rejected a 10-year moratorium on state and local AI rules, reflecting concerns about hindering local efforts to regulate AI for consumer protection and safety[1]. This evolving regulatory environment suggests startups like this must navigate both emerging federal proposals and diverse state-level laws, such as California’s AI Transparency Act effective January 2026[1].
🔄 Updated: 9/10/2025, 2:30:37 PM
The announcement of the $5.7 million seed funding for TwinMind, the AI startup founded by former Google X scientists, has drawn notable investor interest, with the company now valued at $60 million post-money[1]. While TwinMind itself is private, this funding round and valuation spotlight growing market confidence in AI ventures focused on personalized virtual assistants amid fierce competition from tech giants like Google and Microsoft, who are simultaneously investing tens of billions in AI[1][2]. No public stock price movements are associated with TwinMind, but the broader AI sector is currently experiencing heightened investor enthusiasm driven by such innovative startups and large-scale investments.
🔄 Updated: 9/10/2025, 2:40:48 PM
Three former Google X scientists raised $5.7 million in a seed round led by Streamlined Ventures with Sequoia Capital's participation to develop TwinMind, an AI-powered "second brain" that passively captures background speech to build personalized knowledge graphs, now valued at $60 million post-money[1]. Expert Stephen Wolfram, co-founder Daniel George's former mentor and a prominent figure in computational science, made his first startup investment in TwinMind, reflecting strong industry confidence in the technology's innovative approach to continuous audio processing on iPhones despite Apple's restrictions[1]. Industry analysts note that TwinMind’s breakthrough—processing 16-17 hours of audio without draining battery—positions it uniquely amid fierce AI competition from giants like Google and Microsoft, signaling
🔄 Updated: 9/10/2025, 2:50:50 PM
Following the $5.7 million seed funding round led by Streamlined Ventures with participation from Sequoia Capital, TwinMind's valuation reached $60 million post-money, signaling strong investor confidence in the AI-powered "second brain" app developed by ex-Google X scientists[1]. While TwinMind is a private startup and not publicly traded, the funding announcement drove interest among tech investors and contributed to broader AI market enthusiasm, especially amid major players like Google and Microsoft ramping up AI investments[4]. No direct stock price data for TwinMind is available, but market sentiment reflects growing appetite for AI startups innovating in personal knowledge management.
🔄 Updated: 9/10/2025, 3:00:49 PM
Three former Google X scientists have raised $5.7 million in a seed round led by Streamlined Ventures, with participation from Sequoia Capital, to develop TwinMind, an AI app designed to act as a virtual "second brain" by continuously capturing background speech and building personalized knowledge graphs. Valued at $60 million post-money, TwinMind can process 16-17 hours of audio passively on iPhones without draining the battery, thanks to a technical breakthrough involving low-level Swift coding that bypasses Apple's usual background restrictions. The startup has over 30,000 users globally, with 15,000 active monthly, split between professionals, students, and personal users, and is expanding features including a Chrome extension for contextual insights and multi-language
🔄 Updated: 9/10/2025, 3:10:51 PM
Three former Google X scientists have raised $5.7 million in seed funding for TwinMind, an AI-powered "second brain" that continuously captures and processes ambient speech to build personalized knowledge graphs, supporting 16-17 hours of offline audio processing without draining battery life—a technical breakthrough hailed by expert Stephen Wolfram, who led the initial investment[2][4]. Industry experts highlight TwinMind's unique low-level Swift service that overcomes Apple's background processing restrictions, setting it apart from competitors, while its current valuation stands at $60 million post-money with strong backing from Sequoia Capital and Streamlined Ventures[2]. Analysts view TwinMind’s approach, which integrates offline real-time speech processing and contextual browser data capture, as a significant innovatio
🔄 Updated: 9/10/2025, 3:21:28 PM
Following the announcement that former Google X scientists secured $5.7 million in seed funding for TwinMind, an AI app acting as a virtual second brain, the startup was valued at $60 million post-money, attracting attention from top investors like Sequoia Capital and Streamlined Ventures[1]. While TwinMind is a private company and not publicly traded, the news contributed to renewed investor enthusiasm in AI startups specializing in personal knowledge management, amid ongoing heavy AI investments from tech giants like Google and Microsoft[4]. There were no immediate stock price movements directly tied to TwinMind, but its fundraising reflects strong market confidence in AI applications that enhance productivity through continuous ambient speech capture[1][2].
🔄 Updated: 9/10/2025, 3:31:05 PM
Three ex-Google X scientists have raised $5.7 million in seed funding for TwinMind, an AI app that acts as a virtual second brain by continuously capturing ambient speech to build personalized knowledge graphs with 16-17 hours of battery-efficient audio processing on iPhones, achieved via a low-level native Swift service that bypasses Apple's background restrictions[1][2][3]. TwinMind processes audio in real-time offline, supports over 140 languages with its new Ear-3 AI speech model (5.26% word error rate), and emphasizes privacy by deleting audio immediately after transcription while storing text locally[3]. The startup, valued at $60 million post-money, currently serves over 30,000 users with a majority being professionals, aiming
🔄 Updated: 9/10/2025, 3:41:04 PM
Former Google X scientists have raised $5.7 million in seed funding to develop TwinMind, an AI-powered app acting as a "virtual second brain" that captures ambient speech and builds personalized knowledge graphs with real-time processing in over 140 languages. The startup, valued at $60 million post-money, serves over 30,000 users worldwide—including professionals, students, and personal users across the U.S., India, Brazil, Europe, and Africa—and supports offline functionality to address privacy and connectivity concerns globally[1][3]. Investors such as Streamlined Ventures and Sequoia Capital, along with early backing from Stephen Wolfram, highlight strong international confidence in TwinMind’s potential to transform knowledge management across diverse linguistic and cultural contexts[1][3