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Familiar from the first click. Ready when you are.
No complicated setup or command-line learning. Open TiinyOS and start working in seconds.
Familiar from the first click. Ready when you are.
No complicated setup or command-line learning. Open TiinyOS and start working in seconds.
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.
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.
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.
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.
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.
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.
"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."
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