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0 Token Fees
Local compute. Unlimited possibilities.
Run your models and agents without metered API costs. Use your AI as often as you need.
AI Without the Friction
TiinyOS: Your Personal AI Studio
From task automation to creative exploration, every AI capability in one clean interface, zero setup required.
Handle complex tasks across your tools.
Put repetitive work on autopilot.
Capture what you watch as organized knowledge.
Bring ideas to life through visuals.
Build working apps from a prompt.
Real Possibilities,
from the Community
from the Community
Real Possibilities, from the Community
@Slava Solodkiy.cv
One device will become my always-on private AI companion: local LLMs, personal knowledge base, voice assistant, secure note search and offline research.
The second one is for experiments. I want to connect it with my other AI hardware and explore a "personal AI swarm" where different models collaborate instead of one giant model doing everything.
My long-term goal is to build a portable digital identity and compliance research assistant that can work privately, even without the cloud.
@Harry Mendoza
Most AI tools require an internet connection, which creates serious HIPAA and patient data concerns in a healthcare setting.
The Tiiny AI Pocket solves that. My plan is to build a fully offline clinical knowledge base, instrument manuals, QC procedures, regulatory standards, point-of-care protocols and query it during rounds without a single byte of patient data leaving the building.
No cloud. No PHI risk. No subscription feeding sensitive workflow data to a remote server.
@Andy Tarczon
I am a marketing strategist. Currently I have my frontier LLMs pulling weekly research reports and market insights across my clients; however, I cannot analyze the proprietary and confidential information. This means a lot of manual lifting to organize the insights into actionable details for my clients.
Tiiny will allow me to automate much of that work including specific opportunities and implications... Based on the objectives of my clients, I will be able to create specific tracking details for competitor's activities - website updates, market observations, etc based on specific client KPIs.
@Jonathan C. Wilson
I plan on using mine for a plethora of tasks, but one use case is leveraging it to handle my wife’s meeting schedule for her clients including auto creation of meeting invites, building a knowledge base of commonly asked questions and have it auto respond to emails to stream line their requests, and strategically reach out to new clients to find new revenue streams. In addition, I plan on using it for drafting streaming ideas for my channels, and new model ideas for 3d printing.
@Carlo Mascellani
I made several AI services to be used in home. Not only a team of agents, but also some specialized service (calibre book library advanced management, family agenda, fable creator for children and more). Now I use ollama on a pc (when on) with small models or cloud models, but with Tiiny I will be able to use only local models with good power.
@David Heinz
I am a Science and STEM teacher at a parochial middle school and we are behind in educating students about AI capabilities, benefits and risks. I intend to use Tiiny to teach and demonstrate various aspects of ML and AI. Additionally, we are building both a science knowledge base as well as a gaps analysis for students. Finally, it will be interesting to incorporate into the robotics for such things as visual learning and path optimization. The important key is teaching how to use AI for augmentation vice "do this for me" to avoid cognitive offloading.
The Expert Take
The Expert Take
The Global Headline
The Global Headline
"LLMs usable with this machine are said to be perfect for "PhD-level reasoning, multi-step analysis, and deep contextual understanding.""
"Operating in the "golden zone" for personal AI, it handles most real-world tasks and scales up to 120B parameters, delivering GPT-4o-level intelligence."
"Tiiny AI has managed to pack in a whopping 80GB of RAM and 1TB of SSD storage into this miniature device in order for it to actually be able to handle intensive AI processing."
"For the first time in AI supercomputing, a pocket-sized device is capable of running up-to a full 120-billion-parameter large language model entirely on-device."
"The device is a mini PC designed to execute advanced inference workloads without cloud access, external servers, or discrete accelerators."
"It is as small as a power bank, offering performance typically associated with much larger and more expensive hardware."
The Journey Ahead
The Journey Ahead
Mar–Apr
Kickstarter Campaign
$ 3,069,202
Kickstarter Pledged
Aug
Kickstarter Shipping Begins
Sep
AI Infra Summit
(Santa Clara, USA)
Nov
SC26
(Chicago, USA)
Jan
CES 2027
(Las Vegas, USA)
Unlock Priority Access
Get a Launch Discount
Tiiny Pocket is launching this November.
Enter your email to get early access and a special discount.
Unlock Priority Access
Get a Launch Discount
Tiiny Pocket is launching this November.
Enter your email to get early access and a special discount.
FAQ
What is Tiiny Pocket?
Tiiny Pocket is a pocket-sized personal AI device designed to run large open models and AI agents locally, including supported models up to the 120B class.
Connect Tiiny Pocket to your Mac, Windows PC, or other supported device, and Tiiny Pocket handles the AI inference while your computer remains available for your everyday work.
Your models and inference can run locally, with no per-token fees and much greater control over where your data is processed.
Who is Tiiny Pocket for?
Tiiny Pocket is for anyone who wants capable AI running locally — from developers building with models and agents, to professionals working with private data, and users who want an always-on personal AI without ongoing per-token fees.
Does Tiiny Pocket need a computer?
Yes.
Tiiny Pocket is designed to work alongside another device such as a Mac, Windows PC, or supported tablet. It does not use a traditional monitor-and-desktop interface of its own.
You interact with Tiiny Pocket through TiinyOS, supported clients, the SDK, or its OpenAI-compatible API.
Is there a subscription or monthly fee?
No. Tiiny Pocket is a one-time hardware purchase. Running supported models locally on Tiiny Pocket does not require a subscription or per-token fee.
Is Tiiny Pocket easy to get started with?
Yes. Tiiny Pocket is designed to make local AI simple:
1. Connect Tiiny Pocket to your device and power.
2. Choose a supported model from the Tiiny Model Store.
3. Run your model or Agent locally.
2. Choose a supported model from the Tiiny Model Store.
3. Run your model or Agent locally.
No command-line setup is required for normal use. Developers can also connect existing tools through Tiiny's OpenAI-compatible API and SDK.
Does Tiiny Pocket work offline?
Yes. Once a supported model is downloaded from the Tiiny Model Store, it can run completely offline. Local inference, chat, Agents, and supported workflows do not require an internet connection.
Internet access is currently needed for downloading models and certain online features such as Web Search or external Connectors. We are also developing offline TiinyOS update packages for air-gapped environments.
Model import support is also being expanded for users who want to bring in additional models.
