Your data
stays on
your machine.
FactoryOS delivers fully private, on-premise AI to small and mid-sized businesses — without the complexity. We handle the hardware, the software, and the setup. You just use it.
Some businesses can't afford
to share their data with anyone.
Compliance by Architecture
HIPAA, GDPR, and similar regulations require strict data control. When AI runs locally, patient records, client files, and operational data never touch an external server — compliance becomes structural, not procedural.
No Cloud Vendor Risk
Cloud AI providers change their terms, raise prices, get breached, or shut down. Your local system keeps running regardless — no vendor dependency, no surprise policy updates, no service disruptions you don't control.
Dedicated, Not Shared
Cloud AI is shared infrastructure that can throttle you when other customers spike. This machine serves only your office — no external rate limits and no per-token meter. At true peak, your own heavy demand becomes a brief queue for the GPU: a graceful delay, never a crash or a surprise bill.
Own What You Build
Prompts, outputs, and everything your business generates stays on your hardware, under your control. There is no ambiguity about data ownership when the machine is in your office.
Useful the day it ships —
before a line of custom code.
Chat with your own data
From day one, FactoryOS ingests your company's files and lets your team ask questions of them in plain language — answered from your own documents, on your own hardware, never sent anywhere.
Walk in prepared, every day
Daily briefings and per-meeting briefs are assembled overnight from your calendar, inbox, tasks, and the people you're about to meet — so you start informed instead of catching up.
Answers from across your data
A temporal knowledge graph and a stacked retrieval engine — keyword, vector, fusion, and reranking — surface the connections a plain search throws away, including ones no single document states.
Automate the work, keep the judgment
Build workflows by dragging and dropping cards, then drop an approval gate where consequences live. The agent gathers, reasons, and proposes; a person sees the justification and makes the call.
Research the live web, unblocked
A real Chrome the AI drives like a person — from your own connection, not a flagged data-center IP — folding what it finds into the same knowledge base as your private files.
Dictate even the sensitive things
Speech-to-text and text-to-speech run on the same box that holds your data, so a clinician's note or a privileged call is transcribed in place and the audio never leaves the building.
Need-to-know, enforced by design
Data is split into channels so ops can't see HR and HR can't see ops, with default-deny permissions and a private channel for every user. Least privilege lives in the architecture, not a policy binder.
See everything it knows
An interactive graph of every person, project, and relationship in your second brain. Click any node to trace how you know someone, and through whom, in seconds rather than an afternoon of digging.
An assistant you want to use
Shape a local AI character by chatting it into existence, then place it in scenes that fit your day, season, and news — all generated on your own hardware, nothing sent out.
Useful on day one.
Built to build on.
It arrives working, not empty — FactoryOS ingests your company's data and your team chats with it securely from the start. The bigger upside comes from custom tools built on the same foundation: think Linux for AI, where ingestion, retrieval, GPU scheduling, permissions, and the knowledge graph are already wired, so what you build next is mostly configuration rather than a year-long project.
Useful out of the box
Point it at your files and the office is chatting with them on day one. The base system is already a capable, fully private assistant over everything your company knows.
Where the upside compounds
Custom tools on top reuse the same wired foundation, so each one ships faster than the last and the cost spreads across all of them — the opposite of buying ten disconnected apps.
No per-seat licensing
You buy the hardware and the software that runs it, not seats. Put the whole office on your own install; people cost shared GPU time, which at peak means a queue, never a per-user fee.
You tell me what you need.
I handle the rest.
We talk
I interview you to understand your workflows, compliance requirements, and what you actually need AI to do for your business.
Right-size the solution
Based on your needs, I determine the correct hardware spec and software configuration — no more than necessary, nothing left out.
I get the hardware
I procure the machine on your behalf. You don't need to know what any of it means — that's my job.
Loaded and tested
FactoryOS goes on. Models are selected and loaded. Basic integration with your systems is validated before it leaves my hands.
Plug it in
The machine arrives ready to run. You plug it in and start using it. I remain available for questions and future changes.
Everything included.
Where it all starts.
FactoryOS Starter Package
Our standard-sized solution, and the smallest package we offer — built for an SMB stepping into private AI. Hardware, software, and hands-on integration, all done for you, shipped to your door, ready to run from day one. It comfortably serves a typical small office, often around 10–20 people depending on how hard you use it.
Five areas worth understanding
before any conversation about local AI.
Let's figure out
what you need.
Every business is different. Send me a message and I'll follow up to schedule a conversation — no sales pitch, just a straightforward discussion about whether local AI makes sense for you and what that looks like.