Ghost

Ghost offers Core, a hardware device marketed as a personal AI computer. The company positions it as a tool for users who want to retain control over their data and AI interactions. Core is designed to operate entirely on-device, avoiding cloud dependencies and subscriptions.

Public-source profile · Company ownership not verified. Sources & corrections

The short feature · 2 min read

Ghost, at a glance

Company-sourced feature

Built for · Individuals seeking local, subscription-free AI computing with continuous context awareness from personal devices and apps.

Based on company material. Product claims are attributed to the company.

01
The problem
Many AI systems rely on cloud processing, which requires sending personal data to external servers. This can limit user control over data and introduce dependencies on subscriptions or internet connectivity. Users may also lack tools that proactively assist with daily tasks without explicit prompts.
Sources [1]
02
The product approach
Core is a physical device that runs AI models locally, without requiring data to leave the user’s home. It connects to apps, files, and devices like wearables or smart-home systems to build context over time. The device operates continuously, offering proactive suggestions based on observed patterns, such as routines, health data, or upcoming events.
Sources [1]
03
What stands out
Unlike cloud-based AI assistants, Core processes all data on-device, eliminating the need for subscriptions or external data sharing. It also differs from reactive AI tools by proactively generating suggestions—such as reminders or health insights—without requiring user prompts, using continuous context from connected apps and devices.
Sources [1]

What could be hard to replicate?

A useful product is not automatically a moat. These mechanisms need evidence of a lasting advantage.

Technology & IP
Company claim
On-device processing requires no data to leave the user’s environment, reducing reliance on cloud infrastructure. This mechanism is supported by hardware specifications, including a dedicated GPU and CPU for local model execution.
Mechanism → evidence check
What prevents another team from reproducing the capability?
Sources [1]
Switching costs
Company claim
Continuous context-building relies on persistent connections to user apps and devices, creating a switching cost for users who integrate Core into their routines. The longer Core is used, the more personalized its suggestions become, making replacement harder.
Mechanism → evidence check
What value would a customer lose when changing products?
Sources [1]

The question to watch

The effectiveness of Core’s proactive suggestions depends on the accuracy and relevance of its context-building over time. Independent evidence is needed to assess whether users consistently find its insights useful or actionable compared to cloud-based alternatives.

Explore the evidence · 1 source

[1] Ghost company website
Company material · checked 6/10/2026
Here at Ghost, we are building Core, the personal AI computer designed to keep intelligence and control in the hands of the people who use…

About

Here at Ghost, we are building Core, the personal AI computer designed to keep intelligence and control in the hands of the people who use them.

Profile sources, ownership & corrections

Company ownership is not verified

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