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This startup wants to optimize your entire life with its new ‘proactive’ AI

By Unknown Author|Source: Fast Company|Read Time: 3 mins|Share

Daniel George, the founder and CEO of AI company TwinMind, has an impressive background, having worked on groundbreaking AI projects and even automated his own job using AI. TwinMind is an AI platform designed to listen to and analyze user interactions, providing end-of-day reports and insights. The app prioritizes user privacy by not storing audio data and displaying a mic icon when listening. TwinMind has gained popularity through word of mouth and attracted attention from Silicon Valley investors, with a valuation of $50 million. The company is planning a Series A funding round to further scale its operations.

This startup wants to optimize your entire life with its new ‘proactive’ AI
Representational image

Daniel George, the founder and CEO of AI company TwinMind, has quite the résumé. He was a part of a Nobel Prize-winning team that worked on using artificial intelligence (AI) to detect gravitational waves and black holes. He also worked on AI projects at companies including Wolfram and Google X. Perhaps most notably, he created an AI tool that automated his own job as a VP at JPMorgan, allowing him to spend a few years traveling the globe. And now, George counts himself as a startup founder, and he’s bringing his latest project to the masses: TwinMind, an AI platform that “listens to everything you do, say, and browse, and it’s all stored locally and encrypted,” he says. TwinMind can be downloaded as an app on an iPhone and functions like “JARVIS in your pocket.”

Proactive AI that runs your life?

Effectively, users turn it on and can leave it running all day (if they so choose). The app listens to and digests the user’s surroundings, and produces end-of-day reports or wrap-ups, capturing things that you may have forgotten or missed. Everything is processed as it’s ingested and transcribed on the fly. George claims that this helps with security issues, as audio isn’t actually stored or saved anywhere. “All that is saved are the final outputs of the model, for privacy considerations,” he says. For iPhone users, the mic icon will always display when the app is listening, and transcripts don’t actually identify “who said what words exactly.” Given how the app functions, however, it does seem possible that people could be caught in the background as the app is running without knowing it. TwinMind says it encourages users to ask for consent according to local laws.

Attracting users and Silicon Valley investors

The app launched in late March and has already attracted thousands of users through word of mouth, George says. It has also attracted the attention of Silicon Valley investors, including Anand Rajaraman, Dan Roth, and Michael Liou, who collectively were some of the earliest investors in companies like Facebook, Robinhood, and others. Data from PitchBook clocked TwinMind’s valuation at $30 million last year, while George says its latest valuation is $50 million. George and his two cofounders, CTO Sunny Tang and chief scientist Mahi Karim, all met working at Google X. He says they’re now living together in a Bay Area house while they build and scale TwinMind, “working 100-hour weeks for the past year and a half.”

The app works in more than 100 languages and, according to George, can run for more than 12 hours without sapping a smartphone’s battery, as it uses a large language model (LLM) to process speech directly and produce a daily “memory,” or rundown, that resembles a bulleted memo comprising each session. “It really understands everything you’ve gone through, everyone you know, and your values,” George says. TwinMind’s app is available for download and is free to use. As for what’s next, George says TwinMind is now planning a Series A funding round and for the first time is speaking with venture capital firms while the company grows. He says it’s amassed roughly 10,000 users so far. “Once people use it, they won’t stop,” George predicts.

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