19-Year-Old Founder Raises $11M for Ghost and Its $3,499 Personal AI Computer

Zain Javaid, 19, has raised $11 million in seed funding for Ghost, a startup that wants to put a personal AI agent in a box. The company emerged from stealth on Monday after a year of building. The round was led by Andreessen Horowitz, with participation from Abstract, Audacious Ventures, SV Angel, and Nova. Javaid founded Ghost with Nicholas Chua, 19, Yifei Chen, 24, and Gautam Sharda, 23.

Ghost's first product is Core, a personal computer designed specifically for AI agents that can take actions on a person's behalf. Core costs $3,499. Preorders for the first batch opened Monday, and shipping is scheduled for the last week of October.

Key Facts at a Glance

• Founder: Zain Javaid, 19, chief executive of Core.
• Funding: $11 million seed round led by Andreessen Horowitz.
• Other investors: Abstract, Audacious Ventures, SV Angel, and Nova.
• Founding team: Nicholas Chua, 19; Yifei Chen, 24; Gautam Sharda, 23.
• Product: Core, a $3,499 personal AI computer.
• Hardware: Nvidia RTX Pro 4000 SFF Blackwell GPU bundled into the device.
• Software: Dedicated AI operating layer, browser, and filing system.
• Models: Qwen-3.8-Next, Qwen-3.8-27B, and Gemma-4-31B preinstalled.
• Availability: Preorders opened Monday; shipping planned for late October.
• Data approach: Local models and memory, encrypted, with no meaningful third-party access, according to the company.

From Quant Ambitions to Personal AI

For much of his life, Javaid wanted to be a quant who uses math and data to guide investment decisions. He worked toward that goal and spent time in the field. But he got bored. Then, in 2022, ChatGPT was released. He said he felt fundamentally excited in a way he never had before.

That excitement led him toward personal AI. Instead of treating AI as a cloud service that users visit through a browser or app, he began to think about a dedicated machine that could run agents continuously. The result is Ghost and its first device, Core.

What Core Is and How It Works

Core is a computer built to run AI agents, not just a general-purpose PC with AI software installed. Javaid described it as a brain in a box without a screen. Users access it through a phone or an app. Voice mode is also available, but users speak into the Core app rather than directly into the box.

The device includes an Nvidia RTX Pro 4000 SFF Blackwell GPU, a type of chip commonly used to run AI models. Javaid said the GPU is bundled into the device's price, so customers do not need to buy one separately. Core also has its own software layer, browser, and filing system. It can continuously process information and tasks without constant prompting.

Core comes with three models preinstalled: Qwen-3.8-Next, Qwen-3.8-27B, and Gemma-4-31B. Users can also install other models from Hugging Face, where developers share AI models, or load their own trained models. Javaid said the team can push over-the-air updates to the device, similar to how Tesla updates its vehicles. If a new generation of models comes out, the company asks users whether they want to switch. Users can also turn on auto-updates so they are always running the latest generation of a given model.

Purpose-Built Hardware vs. General-Purpose Computers

Asked how Core differs from a Mac Mini, Apple's small desktop computer that some people set up to run AI tools, Javaid said Core's hardware and software were built specifically for running AI agents. The models are already installed, while the Mac Mini is a general-purpose computer that can be configured for AI.

That distinction matters to Ghost. The company argues that running models on existing hardware can work, but it is a terrible experience on many levels. Core is meant to be a fully functioning computer that does not require complex setup or configuration. The team currently builds the units at its San Francisco facility.

Local Processing, Encryption, and Ownership

Javaid said the models and personal memory run locally. All personal information is encrypted so that no cloud provider or third party, including Ghost, can meaningfully access it. Users can control how much autonomy they give their Core agents. The device is also programmed to keep working if Ghost shuts down.

All of the source code, logic, and model weights live on the device, not on external services, according to Javaid. He said the device is built not to depend on an outside entity maintaining the service. Once a user buys the hardware, everything is stored, run, and processed on the device. The user owns all of it, he said, referring to the device, memory, and data.

Security and Agent Guardrails

The team is also building a firewall to limit how the agent can use its credentials, such as logins and passwords. The firewall monitors every outgoing network request on the computer. If it sees the agent performing an unsanctioned action or exfiltrating data it should not, it rejects the request and flags it for user review.

That security layer is part of a broader bet that personal AI agents will need more than cloud APIs and browser tabs. If an agent is going to act on a person's behalf, it may need access to files, apps, messages, calendars, and smart home devices. Ghost's answer is to centralize that access in one piece of hardware designed to run agents continuously.

Competition and the Incumbent Question

Javaid said he is not too worried about competition, including from established tech companies. People sometimes give incumbents credit for having already built the product because they have the ingredients, he said. He credited Apple with good hardware and disruption, but said much of what Core is aiming to tackle is software.

The model reasons over your life, how it remembers, how it takes action, how it knows when to reach out, he continued. That is a software problem as much as a hardware problem. It requires memory, context, permissions, and judgment about when an agent should act and when it should wait.

Javaid offered an example of how Core is meant to work. Core proactively sends a notification that the user might be getting sick because it sees the user's

Source: TechCrunch News