Personal AI

Setting the Scene

  • Imagine a morning routine where pre-drafted texts and emails await your approval, requiring just a tap to send.

    • The best part: These responses sound like they were transcribed from your mind. 🤔

  • Current AI, powered by large language models (LLMs), is trained by big tech on public data, which results in generic responses and privacy concerns.

  • This week's company develops personal language models (PLMs) trained on personal data, resulting in AI tailored to the individual.🤯

In a Sentence

Personal AI enables individuals to build, own, and operate AI models trained on their data.

  • Build: Users train their models by prompting messages and integrating their websites, texts, documents, emails, and more.

  • Own: Individuals own and control their models, building privacy and combatting biases.

  • Operate: Users interact with their model through the desktop and mobile apps or connect to text, email, and socials to auto-draft responses to others.

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Bulleted Version:

  • Personal AI is like a personalized version of ChatGPT, trained to think, learn, and respond like you. 💬

The Basics

Due Dilligence

WHAT WE LIKE

  • 👤 Tailored to the individual: While large language models are accelerating productivity, Personal AI has the potential to advance this disruption with a quicker-to-train model that better understands the user.

  • 📈 End market: Personal AI targets a broad end user, including small business owners, C-suite executives, authors, and professionals with personal brands who readily invest in tools to manage their knowledge and communication.

  • 😄 Retention: The platform demonstrates increasing user engagement with Day 60 retention surpassing Day 30 retention, suggesting that the company re-engages users as their Personal AI gets smarter.

POTENTIAL RISKS

  • 🏋️‍♀️ Personal training: The tool is most useful when the individual has spent enough time training their model by prompting the chatbot and connecting their data.

  • 🥷🏻 Adoption hesitancy: While the company protects user privacy, individuals may be hesitant to create an AI model trained on their own data.

  • 💰 Costly development: AI competitors have required significant funding to develop their tech, and Personal AI may require the same as it scales and finds product-market fit.

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Founder Profile

Comps

Why Personal AI

  • By enabling individuals to build, own, and operate a personal AI, along with impressive retention metrics and user reviews, this company's business model is promising.