Step into the future

Personal AI for the glasses you already use.

CyanBridge / Android + Model Studio

Personal AI for the glasses you already use.

Connect supported smart glasses to models you control—on your phone, your computer, or infrastructure you explicitly choose.

CyanBridge mobile companion showing connected-glasses controls and a conversation using a local model
01

Android companion

Connect supported glasses and manage everyday AI workflows.

02

Models you choose

Run locally, point to a self-hosted server, or explicitly select cloud inference.

03

Inspectable by design

Review data controls and inspect the public Android source.

The product, in practice

One bridge. Three decisions you control.

The glasses are the interface. The phone is the bridge. You decide where the model runs and which capabilities are allowed to join the workflow.

Check device compatibility

01

Connect

One companion for the glasses in your life

Pair supported hardware, manage media and image workflows, and move between glasses without handing your personal AI context to one hardware vendor.

Connection status, media controls, voice and image questions

CyanBridge app screens for a local model, connected glasses, and private chat

02

Choose compute

Keep the model close—or point to one you operate

Download a curated on-device model, import a compatible package, or connect to an OpenAI-compatible server. Cloud inference remains an explicit choice, never a hidden default.

Local model packages, runtime controls, self-hosted endpoints

CyanBridge local model download, performance, and runtime controls

03

Extend

Add capabilities without rebuilding the bridge

Use community and Tasker integrations for accessibility, productivity, translation, and agent supervision. Support status stays visible so experimental paths are not presented as finished features.

Inspectable plugins, explicit permissions, compatibility labels

CyanBridge community plugin screens for accessibility and productivity workflows

Privacy, made visible

Privacy isn’t a promise. It’s an architecture.

CyanBridge keeps local and remote paths distinct. You can see what is selected, where it runs, and when a service outside your devices is involved.

  1. 01

    Glasses

    Capture only through supported hardware controls and permissions.

  2. 02

    Android companion

    Routes media, questions, and selected app data through an inspectable client.

  3. 03

    Your machine

    Local models, datasets, and privacy filtering remain under your control.

  4. 04

    Optional cloud

    Used only when you choose a hosted model or explicitly launch a quoted Studio job.

CyanBridge controls for importing local AI data and locking the private memory vault
A

Data controls you can inspect

Import selected exports, control the memory vault, and clear local data from the app.

Public CyanBridge Android source repository and documentation displayed on two phones
B

Android source published in the open

Inspect device integration work and current implementation details instead of relying on a badge.

Hosted inference, when useful

Start local. Add cloud on your terms.

Mobile plans cover hosted model responses in the Android companion. Local and self-hosted use remain available, while Model Studio cloud jobs are separately quoted with a budget reservation and hard cap.

View mobile plans

Cheap

3.5M reference tokens

$1 / mo

For testing the mobile companion and occasional hosted requests.

Standard

Most popular

18.5M reference tokens

$5 / mo

For regular hands-free questions, updates, and mobile workflows.

Max

74M reference tokens

$20 / mo

For frequent use and higher-volume mobile or agent activity.

Ready when you are

Bring private AI to the glasses you already own.

Essential answers

Before you connect.

Need device-specific help or billing support? Visit the support center for detailed guidance.

Visit support
01What is CyanBridge?

CyanBridge combines an Android companion for supported smart glasses with Model Studio workflows for personal datasets, local models, optional cloud compute, and supervised coding-agent work.

02What stays local?

The Studio workflow can keep raw exports, parsing, privacy filtering, dataset review, model training, and inference on your machine. The Android companion can also use compatible on-device models or a server you control.

03Which smart glasses are supported?

Support varies by hardware, firmware, APIs, and permissions. CyanBridge documents stable, experimental, and research paths separately for HeyCyan-compatible devices, audio glasses, Meta Ray-Ban, MemoMind, and other integrations.

04Can I use my own model or server?

Yes. You can import compatible local model packages or connect the companion to an OpenAI-compatible endpoint you operate. Hosted CyanBridge inference is available as an option, not a requirement.

05What part of CyanBridge is open source?

The Android companion and device-integration work are published on GitHub. Model Studio is maintained separately and is not represented as publicly available source.

06What do paid plans cover?

Monthly plans cover hosted model responses for the mobile companion. Optional Model Studio cloud training and inference jobs are separately quoted, reserved, and capped before launch.