TwinMind AI: Ex-Google X Team Raises $6M to Build Your AI-Powered Second Brain

TwinMind AI: Ex-Google X Team Raises $6M to Build Your AI-Powered Second Brain

Imagine having a second brain powered by AI — one that remembers meetings, conversations, and even your casual thoughts, helping you stay organized without effort. That’s exactly what TwinMind AI, a startup founded by former Google X scientists, aims to deliver.

The company recently secured $6 million in seed funding and launched its Android app, iPhone app, and a powerful AI speech model. With its unique ability to capture ambient speech, transcribe it in real time, and structure it into actionable insights, TwinMind is redefining productivity for professionals, students, and everyday users alike.

What Is TwinMind AI?

Launched in March 2024 by Daniel George (CEO) alongside Google X colleagues Sunny Tang and Mahi Karim, TwinMind is designed to run quietly in the background — with your permission — and capture conversations, meetings, and lectures.

Instead of just storing raw data, the app builds a personal knowledge graph from your daily life. From that, it generates:

  • AI-powered notes
  • Smart to-do lists
  • Context-based answers
  • Real-time translations in over 100 languages

What makes TwinMind stand out is its offline processing capability, allowing users to transcribe and store data locally without relying heavily on cloud servers.

How TwinMind Works: A Passive AI Assistant

Unlike other note-taking tools like Otter, Granola, and Fireflies, which focus on meetings, TwinMind listens passively all day long. It can capture 16–17 hours of audio continuously without draining your battery — a feat made possible by the team’s engineering breakthroughs.

For iPhone users, TwinMind developed a native Swift-based service that bypasses the limitations of background processing often faced by apps built with React Native. This enables seamless and long-duration recording.

Key Features of TwinMind AI include:

  • Offline transcription (privacy-first approach)
  • Continuous audio capture without heavy battery usage
  • Cross-platform support (Android, iOS, Chrome extension)
  • 100+ language translations
  • On-device speech recognition
  • AI-powered structured memory

Chrome Extension: Beyond Conversations

TwinMind isn’t limited to mobile apps. The startup also introduced a Chrome extension that adds context by analyzing browser activities.

It can scan:

  • Emails
  • Slack conversations
  • Notion documents
  • LinkedIn profiles

In fact, the team used its own extension to shortlist interns from 850+ applicants, letting the AI rank candidates based on CVs and LinkedIn tabs.

TwinMind Ear-3: A Smarter Speech AI Model

To enhance its capabilities, TwinMind released the Ear-3 AI speech model, an upgrade over its Ear-2 system.

Ear-3 highlights:

  • Supports 140+ languages
  • 5.26% word error rate
  • 3.8% speaker diarization error rate
  • Available to developers via API at $0.23/hour
  • Powers Pro subscription ($15/month) with 2M token context window

Unlike the fully offline Ear-2, Ear-3 is cloud-powered but automatically switches to offline mode when the internet drops.

Funding and Backing: A $60M Valuation

TwinMind’s $6 million seed round was led by Streamlined Ventures with participation from Sequoia Capital, Stephen Wolfram, and others. This round values the company at $60 million post-money.

The startup currently employs 11 people and plans to scale its design and business development teams while expanding API availability to enterprises.

Why TwinMind Could Be a Game-Changer

Most AI tools today — from ChatGPT to Claude — excel at generating text but struggle with personal context. TwinMind bridges that gap by blending offline conversations, online activity, and contextual memory into one unified assistant.

Its focus on privacy also sets it apart. Unlike competitors, TwinMind deletes audio recordings after transcription and does not train its AI models on user data.

With 30,000+ users worldwide, including professionals, students, and personal users, TwinMind is gaining traction in the US, India, Brazil, Kenya, and Europe.

Who Can Benefit from TwinMind?

  • Professionals: Capture every meeting detail, generate notes, and reduce task overload.
  • Students: Record lectures, organize notes, and get AI-powered study summaries.
  • Writers & Creators: Store thoughts, ideas, and even drafts for later refinement.
  • General users: Document conversations, translations, and personal life moments.

One user even used TwinMind to help write their autobiography — showcasing how flexible the tool can be.

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Final Thoughts

TwinMind is more than just another AI note-taker. It represents a new category of passive AI assistants designed to enhance memory, productivity, and context — without compromising user privacy.

With strong Google X roots, $6M in funding, and a growing global user base, TwinMind is positioning itself as a serious challenger in the AI productivity space.

If you’re someone juggling meetings, studies, or creative work, TwinMind could become your AI-powered second brain.

FAQs About TwinMind AI

1. What is TwinMind AI?
TwinMind is an AI app created by ex-Google X scientists that passively listens (with permission), transcribes conversations, and generates structured notes.

2. Is TwinMind safe to use?
Yes. The app prioritizes privacy by deleting audio after transcription and storing only text locally. It does not train its models on your personal data.

3. How much does TwinMind cost?
TwinMind has a free version with unlimited transcriptions. The Pro plan costs $15/month, offering advanced features like 2M token context.

4. Does TwinMind work offline?
Yes. The app processes audio offline using its Ear-2 model. When connected to the internet, it automatically switches to the advanced Ear-3 model.

5. Who are TwinMind’s competitors?
TwinMind competes with tools like Otter.ai, Fireflies, Granola, and AI browsers, but stands out with continuous passive listening and offline transcription.

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