Teen founder secures $11m to build local AI computer priced at $3,499
Ghost has emerged from stealth with an $11 million seed round to develop Core, a computer designed to run personal AI agents. The launch matters because it aims to make locally run assistants that can use a person’s data and perform tasks easier to set up, while keeping that information on the device.
Founded by 19-year-old Zain Javaid with three co-founders, Ghost says Core combines an Nvidia RTX Pro 4000 SFF Blackwell GPU with its own software, browser and filing system. It costs $3,499, with preorders for the first batch opening on Monday and shipping planned for the last week of October; the device has no screen and is accessed by app or voice through the app. Ghost says models and personal memory run locally, information is encrypted, and users can choose how much freedom agents have.
- Ghost raised $11 million to build its personal AI computer.
- Core costs $3,499 and includes an Nvidia AI GPU.
- The device runs models locally and is controlled through an app.
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AI assistants have become commonplace, but most operate through cloud services where user data is processed on company servers. Growing privacy concerns about this arrangement have prompted some technologists to explore alternatives where AI tools run directly on a person's own device instead.
A device that runs AI locally offers potential advantages over cloud-based systems: personal information stays on the machine, the user retains control over what data the AI can access, and the assistant can function without relying on an internet connection. Until now, setting up such a system has been technically complex and expensive, limiting its appeal to mainstream consumers.
A new company is attempting to make locally run AI assistants more accessible and practical by offering a purpose-built computer with integrated hardware and software tailored for the job. The venture has attracted investment from backers who believe there is significant market demand among people seeking to use AI while keeping their information private and under their own control.
Both sides, in good faith
The strongest fair case each way — we don't pick a winner.
The case for
The case for local AI computing rests on genuine privacy principles and justified concerns about data centralisation. As cloud AI models increasingly process sensitive personal information—financial details, health records, personal preferences—a device that runs models locally and encrypts data addresses real harms of surveillance capitalism. Advocates argue that users should own and control their data infrastructure rather than trusting large corporations with intimate information, and that distributed local computing represents not just safer but more resilient technology architecture. Ghost's $3,499 price, whilst steep, reflects serious hardware engineering to make this feasible at a more accessible price point than prior alternatives.
The case against
Critics raise legitimate questions about market demand and execution risk. Most users derive considerable practical value from cloud-based AI—instant access, constantly updated models, seamless integration—and the additional privacy benefits may not justify $3,499, higher latency, and learning new software systems for a niche use case. A 19-year-old founder faces formidable technical and business challenges competing with entrenched players like Apple and Microsoft who are integrating on-device AI into existing platforms with vastly more resources. Sceptics note that hardware startups frequently miss aggressive preorder and shipping deadlines, and security claims require rigorous third-party verification rather than company marketing; whether sufficient consumer demand exists remains unproven.
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Originally published by TechCrunch as “At 19, founder raises $11 million for Ghost, maker of a $3,499 computer for personal AI”.