Ghost Raises $11M for $3,499 Computer Built for Personal AI

Ghost, a San Francisco-based startup founded by 19-year-old Zain Javaid, has emerged from stealth following an $11 million seed round led by Andreessen Horowitz, alongside investments from Abstract, Audacious Ventures, SV Angel, and Nova. The company officially launched Core, a $3,499 desktop computer engineered specifically to run autonomous personal AI agents. Javaid, previously a quantitative trader, pivoted to artificial intelligence following the 2022 release of ChatGPT, assembling a founding team that includes co-founders Nicholas Chua, Yifei Chen, and Gautam Sharda. Core is positioned as a dedicated AI appliance rather than a general-purpose computer. The device features an Nvidia RTX Pro 4000 SFF Blackwell GPU, proprietary software architecture, and a custom file system, all optimized to continuously process tasks without constant user prompting. It ships preloaded with three open-weight models, Qwen-3.8-Next, Qwen-3.8-27B, and Gemma-4-31B, while supporting additional models from Hugging Face or custom user training. Unlike conventional desktops, Core operates as a screenless computing unit managed through a companion mobile application with optional voice interaction. Privacy and data sovereignty form the core of Ghost’s value proposition. All models, personal memory, and processing occur locally on the device, with end-to-end encryption ensuring that neither Ghost nor third-party cloud providers can access user data. The hardware includes a network firewall that monitors agent behavior, restricting unauthorized credential usage or data exfiltration, and flagging actions for user approval. Javaid emphasized that users retain full ownership of their data and system configurations, with the device programmed to remain fully functional even if Ghost ceases operations. Over-the-air updates will allow seamless model upgrades, mirroring automotive software deployment, while giving users explicit control over feature transitions. Ghost positions Core against hybrid setups like the Apple Mac Mini by prioritizing purpose-built software integration over raw hardware specifications. The AI engine is designed to contextualize user habits, health metrics, and digital activity to generate proactive notifications and automated workflows. Manufacturing currently occurs at the company’s San Francisco facility, with the first production batch scheduled to ship in late October. Preorders opened simultaneously with the funding announcement. While acknowledging established technology incumbents, Javaid maintains that Ghost’s competitive advantage lies in architectural cohesion rather than hardware scale. The company’s immediate objective is refining agent autonomy and user trust, relying on product differentiation to capture early adopters seeking dedicated, privacy-focused personal AI infrastructure.