A Keralite is making waves in the United States with an artificial intelligence platform that thinks alongside users, acts as a personal assistant, and helps them make informed decisions.
The platform, “TwinMind” has been developed by Kochi native Daniel George along with his former Google X colleagues Sunny Tang and Mahi Karim.
TwinMind functions as a second brain—one that understands a user’s life, cherishes every memory, mirrors their values, and anticipates their needs before they ask, so together they can achieve anything.
Founded in March 2024, TwinMind has already raised over US Dollar 5.6 million and reached a valuation of around US Dollar 60 million. The startup is gaining attention for its focus on memory-driven AI that operates primarily on-device, giving users greater control over privacy while offering optional secure cloud backups.
George’s interest in deep science was shaped early at home in Ernakulam. His father was the first person in his village to earn a PhD and later became a mathematics professor, while his mother was a physics rank-holder. That environment pushed him towards fundamental sciences rather than conventional engineering paths.
At IIT Bombay, George chose Engineering Physics over computer science, driven by his interest in physics and mathematics. “I didn’t want to do computer science or traditional engineering. I wanted to study physics or mathematics, and Engineering Physics was the closest option available,” he told Open Digest.
After his studies at IIT Bombay, George focused on computational astrophysics and pursued an internship at the University of Notre Dame. “At the time, I was open to any area of physics. I just wanted to do research. That internship became my first exposure to computational astrophysics,” he said.
He later pursued a PhD at the University of Illinois Urbana-Champaign, where he worked on applying machine learning to astrophysics as part of the LIGO collaboration, which later won the Nobel Prize for detecting gravitational waves.
During his PhD, George also worked part-time at Wolfram Research, and Stephen Wolfram later became one of TwinMind’s early investors. After receiving job offers from NVIDIA and Google, George joined Google X, where he worked on high-risk AI projects. He later moved to JPMorgan Chase, building AI models for large-scale financial trading, before deciding to leave the security of corporate roles. “AI in finance was powerful, but it wasn’t personal. I wanted to build something that every human could use, not just institutions,” George said.
That idea led to TwinMind, which continuously listens to meetings and daily interactions, turning them into structured notes, summaries, and real-time suggestions. “While chatbots make you repeat yourself, TwinMind already knows what you said, what you meant, and how you think,” George said. Today, TwinMind operates with a team of around 15 people and supports multiple AI models, including those from Google, OpenAI, and Anthropic.
The company is expanding its multilingual capabilities, including Indian languages such as Malayalam, and aims to position personal AI memory as a core productivity tool for the future.
