FactoryOS from Comptrio
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FactoryOS

FactoryOS is a local AI operating system. It manages models, GPU, memory, permissions, task queues, and approval workflows on hardware the business owns -- inside the facility, with no data leaving the premises unless a user explicitly authorizes it.

That is a different architecture from a cloud tool. A cloud tool sends each request to an external API; FactoryOS runs the model on-site, reads local files, integrates with local software, and keeps every query, every document, and every result on the network the business controls.

Most AI tools are built for one user in a chat window; an office needs multiple users, real access controls, and work that outlives a single prompt. The articles below cover what that takes in practice: math done by a deterministic calculator instead of a guessing model, a knowledge graph that remembers your business over time, agents that pilot a real browser, permissions that decide who sees what -- and what comes in the box, from delivery to ownership.

Recent Articles

What Comes In The FactoryOS Box

The two FactoryOS tiers, what each one includes, what arrives and when, and what ownership covers after the box is on your rack.

What Owning FactoryOS Looks Like After Delivery

Updates, hardware failure, backups, and day-two admin. What year two of a FactoryOS appliance actually asks of you -- and what it never bills you for.

From First Call to Working System

The path from a needs interview to a running FactoryOS appliance: sizing, sourcing, build, delivery, and a system that arrives already knowing your business.

Inside the Factory Knowledge Graph

Some answers live in the relationships between documents, not any one of them. How the Factory Knowledge Graph stores time-aware facts you can reason over.

How FactoryOS Pilots a Real Browser

FactoryOS hands the model a real Chrome browser, strips the page noise, and carries out a research mission you describe in plain language.

How FactoryOS Retrieves the Right Context

A model is only as good as the context you give it. How FactoryOS stacks keyword, vector, fusion, reranking, and embeddings to retrieve the right passages.

Why Heavy Load Means Delays Not Crashes

A single machine has a finite GPU. How a queue runner and priority scheduling make heavy load show up as a delay, not a crash or a surprise bill.

How FactoryOS Builds Charts and Diagrams

Ask FactoryOS for a chart, diagram, table, or image and it renders on your own hardware. Eight local renderers on one canvas, nothing sent to a cloud service.

Popular Articles

Inside the Factory Knowledge Graph

Some answers live in the relationships between documents, not any one of them. How the Factory Knowledge Graph stores time-aware facts you can reason over.

How FactoryOS Pilots a Real Browser

FactoryOS hands the model a real Chrome browser, strips the page noise, and carries out a research mission you describe in plain language.

What Comes In The FactoryOS Box

The two FactoryOS tiers, what each one includes, what arrives and when, and what ownership covers after the box is on your rack.

What Owning FactoryOS Looks Like After Delivery

Updates, hardware failure, backups, and day-two admin. What year two of a FactoryOS appliance actually asks of you -- and what it never bills you for.

How FactoryOS Decides Who Sees What

FactoryOS uses one permission engine for both features and data. Three layers, three states, seven default roles, and every page individually gateable.

What Separates an AI OS from a Wrapper

There are three things people call AI tools. Here is what separates a chat wrapper, an agentic tool, and a full AI operating system

From First Call to Working System

The path from a needs interview to a running FactoryOS appliance: sizing, sourcing, build, delivery, and a system that arrives already knowing your business.

How the Knowledge Graph Remembers Over Time

FactoryOS's brain remembers what changes over time. Confidence, resilience, and expiration dates make its graph behave more like real memory.

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