TwinMind is a new B.C.-based startup co-founded by Daniel George, Sunny Tang, and Mahi Karim. Most recently, they have made headlines by bringing in the seed funding of $5.7 million. The company, now valued at $60 million post funding, is building traction in the rapidly growing AI space. Their unconventional approach is pushing the envelope on what personal assistance technology can do. TwinMind Founders George’s initial idea for TwinMind was conceived in 2023 while George was Vice President & Applied AI Lead at JPMorgan.
Through powerful AI tools—deeply integrated throughout the platform—the company hopes to give users their own second brain, vastly improving productivity. With more than 30,000 users around the globe, TwinMind Fellows is a truly global platform. Look no further—Otter provides a free plan with unlimited transcription hours and on-device speech recognition! This model has resulted in a powerful user base, with about 15,000 active users per month.
Subscription Features and Accessibility
From $15 per month, TwinMind recently introduced a Pro subscription plan. Under this new plan, you will unlock power user features such as a context window of up to 2 million tokens and email support with a response time of under 24 hours. This tier is for the power users that want the next level of tools to work smarter and do more with their time.
Even with this introduction of a paid plan, the free version is here to stay, with all the same functionality you’re used to. This approach to strategy helps keep TwinMind accessible to all with long term benefits and deeper features, while serving the higher spending clientele seeking advanced services.
George’s father is one of the users benefiting from TwinMind’s abilities, using the service to write his autobiography. This personal connection highlights the practical applications of TwinMind’s technology to everyday life.
Innovative Technology and Real-Time Capabilities
TwinMind distinguishes itself by ensuring user privacy. It does not train its models on user data and operates without sending recordings to the cloud. This commitment to privacy is especially important in this time, where data security is more important than ever for consumers.
The startup deploys RFID to track shippers’ goods, and recently released its Android app. It announced a new AI speech model that’s able to recognize distinct speakers in a conversation. With an impressive 3.8% speaker diarization error rate, this model demonstrates TwinMind’s commitment to accuracy and quality. Put simply, it requires you to slow down. Enterprise developers can use the model via an API for $0.23/hour.
TwinMind’s real-time translation capabilities have been extended to more than 100 languages, empowering users from all around the globe to communicate effortlessly. George explained that “the more languages you support, the better the model gets at understanding accents and regional dialects because it’s training on a broader range of speakers.”
Development and Team Dynamics
It’s taken a development team of 11 people spending nearly two years to channel that same power into technology. According to George, “We spent about six to seven months last year just perfecting this audio capture continuously and getting there to find a lot of hacks around Apple’s walled garden.” The achievement of this effort underscores the team’s commitment to addressing technical challenges and improving user experience.
The startup’s strategic focus on building a low-level service in pure Swift allows it to run natively on the iPhone, further optimizing performance for mobile users. This type of technical groundwork is fundamental to staying ahead, a must-have in a competitive and quickly saturating landscape.
George reflects on his experience at Google X, stating, “Google X was actually the perfect place to prepare for starting your own company.” He underscores just how important the unique environment was to him being able to pursue so many startup-like projects during his time there. He estimated that there are 30 to 40 startup-like projects in the pipeline at any given time. Nobody else gets to work at six early-stage startups over two or three years before launching their own — at least not in such a short span.”