Private by architecture
Sensitive work does not have to enter a public AI product.
DATATHREADS AI FACTORIES
Watch an AI factory produce knowledge work.
DataThreads builds continuously operating AI systems that receive work, route it through specialized agents, inspect the result, return deficient work for correction, and deliver finished business artifacts.
Built with open-weight models that can run on hardware you control—without making your business dependent on rented tokens or a public AI product.
The articles are the output. The factory is the product.
The Edition uses articles because they are public, familiar, and inspectable. The same system can manufacture reports, research packages, monitoring findings, training materials, internal documentation, and lead intelligence.
CONTROL THE PRODUCTION CAPACITY
Own the AI infrastructure beneath the factory.
The factory can run open-weight models on your hardware, in infrastructure you control, or in a private cloud configuration. You control the data, the production records, and the capability itself.
Predictable economics
Production capacity can come from owned or reserved compute instead of an open-ended token meter.
Operational independence
Models and providers can change without rebuilding the factory around one vendor.
Local inference is the production capacity. The factory turns it into useful work.
Why control your AI infrastructure →How this applies to your business
The same factory pattern, built around your data, your workflow, your standards, your approvals, and the output you require.
An example
A morning report, already written.
A roofing company, or any field shop like it, opens a plan before the trucks roll.
Where crews go. What comes first. What can wait.
Overnight the factory read their jobs, weather, and open work. In the morning a person reviews it. Then they go.
That is the shape: your data in, knowledge work a person can check, then it runs again. The factory is yours.
An example
Sales leads, already ranked.
Who is worth a call this morning. Who can wait.
What they do. Who they serve. Who to call first.
Overnight the factory read public pages and people. In the morning a person reviews the list. Then they go.
That is the shape: your data in, knowledge work a person can check, then it runs again. The factory is yours.
People
Company
Tell us the job that should run when nobody is in the chat.
Your own system. A service that keeps it on track by real humans.