The local brain for personal intelligence

Your private context finally has a home.

AI is powerful, but your context is fragmented. Token CUBE is a local-first AI context server that turns files, meetings, notes, projects, and daily work into private memory.

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Local-first by default 35B-class local model Private context index Early access $599
Context flows in. Files, meetings, notes, calls, and devices enrich one local memory.
Questions stay local. Sensitive work can be searched, summarized, and drafted on-device.
Actions create memory. The more you use it, the more it understands your work.
Storyboard

From fragmented context to human memory.

The product story is simple: your best data already exists, but AI does not live close enough to use it safely. Token CUBE gives that context a private home.

01

AI is everywhere, but not truly yours.

Multiple assistants ask you to re-upload context they should already understand.

02

What if your intelligence had a home?

A quiet local foundation that lives with your data, not outside it.

03

Connected to your work surfaces.

Laptop, phone, meetings, files, notes, and tools can all feed one local context layer.

04

Private by default.

Questions, source retrieval, and routine processing happen on Token CUBE first.

05

Context becomes memory.

Scattered moments become structured knowledge across people, projects, preferences, and decisions.

06

The flywheel compounds.

You act, actions become context, context becomes memory, and memory improves the next action.

Workflows

Built for daily private-data work.

Token CUBE starts with the jobs local AI can do well: retrieval, summaries, structured drafting, and long-term context.

Private file Q&A

Ask anything from your private files.

Query folders, briefs, PDFs, and exports without uploading source material by default.

Local answer
"What changed in the latest client proposal versus the March version?"
proposal_v7.pdf march_brief.docx pricing_notes.md
Meetings to action

Turn meetings into follow-ups.

Convert calls and interviews into decisions, owners, open questions, and next steps.

Meeting brief
"Summarize yesterday's hardware vendor call and list follow-ups."
call_recording.m4a vendor_notes.txt
Context drafting

Draft from your own context.

Create emails, memos, proposals, outlines, and first drafts from the material you already trust.

Draft mode
"Write a concise investor update using this month's notes and metrics."
metrics.csv founder_notes last_update.pdf
Long-term memory

Build a life-based work memory.

Organize projects, people, decisions, and sources into a private memory that gets more useful over time.

Memory graph
"When did Jason discuss hardware pricing, and which version were we leaning toward?"
Founder call pricing notes meeting recap
Architecture

Raw context stays in your box. Only safe skill packets leave.

Token CUBE is designed as a private context layer beside your devices. It can answer locally, or prepare a distilled, desensitized task packet when you explicitly want cloud assistance.

1

Private data layer

Folders, audio, notes, exports, project files, research packs, and personal archives.

2

Local intelligence layer

Low-memory edge inference engine, 35B-class local model, and local semantic index.

3

App connection layer

Desktop app, phone sync, and OpenAI-compatible local gateway for existing tools.

Human Skill packet

Use cloud intelligence without sending the private mess.

Raw private context Meetings, files, client details, notes, timelines, and project history stay in Token CUBE.
>
Local distillation The box extracts the task, constraints, style, and safe facts into a structured packet.
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Optional cloud boost Only the approved packet can leave. Locked spaces never upload.
Local Sensitive and routine tasks stay on-device for search, summaries, and drafts.
ON DEVICE
Redacted cloud boost For harder tasks, Token CUBE can prepare a redacted prompt after approval.
OPTIONAL
Never upload Locked private spaces are excluded from network requests and remain local-only.
LOCKED
Positioning

Not a NAS. Not another cloud chatbot.

Token CUBE is for the private context that sits between storage and intelligence.

Product type What it is best at Where it falls short Token CUBE difference
NAS Storage, backup, syncing, and keeping files under your control. It usually stores data better than it understands or uses it. Token CUBE turns private files into searchable, draftable, task-ready context.
Cloud AI Frontier model quality, broad knowledge, and complex reasoning. Your private context must be uploaded, pasted, connected, or abstracted away. Token CUBE starts local and can use cloud models only with redaction and approval.
Generic mini PC Flexible computing for people willing to configure everything themselves. Local models, indexes, routing, and app connections become a project. Token CUBE packages local inference, private memory, and workflow connections together.

A NAS stores your data. Token CUBE helps your data work for you.

Hardware credibility

A quiet foundation for personal intelligence.

The first Token CUBE focuses on one professional user's private context, not multi-user concurrency or replacing frontier cloud models.

Model 35B-class local model

Designed for retrieval, summaries, drafts, and structured personal work.

Engine Low-memory edge inference

Runs larger local models within a compact appliance profile.

Workflow Single-user professional focus

Optimized for one person's private files, meetings, and projects.

Access Desktop and phone connection

Connects to the devices where your work context already lives.

Offer Early access $599

A demand-test price for the first private-data workflow users.

Promise Local-first, not cloud-only

Cloud assistance is optional, controlled, and designed around redaction.

Early access

Help shape the first local-first AI context appliance.

$599early access signal

This page is a demand test for professional users with real private-data workflows. Joining the waitlist does not charge you or reserve inventory.

You're on the early access list. We prioritize users with real private-data workflows.