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OOS Unified Identity

One logical system across machines, networks, and architectures.

When organizations scale AI, they usually add more machines running the same software. Each machine operates independently. Each one is a separate instance with its own state and its own behavior.

That is not a system. That is a collection of copies.

OOS Unified Identity is fundamentally different. Multiple machines, across different networks, with different operating systems and different CPU architectures, operate together as one logical system. Not copies. Not replicas. One identity.

What Unified Identity Means

A unified identity means that every machine in the system operates according to the same defined behaviors and rules. There is a single logical source of truth. When a machine joins the system, it becomes part of that identity. When it is removed, the identity continues without it.

You can have servers on different networks. One machine running Linux on x86. Another running macOS on ARM. Another running Unix. They are not independent instances that happen to look alike. They are parts of one system that happens to run on multiple machines.

Server A
Own data, own rules
Server B
Own data, own rules
Server C
Own data, own rules
OOS Unified Identity
Server A
Server B
Server C
Same data. Same behavior. One system.
Independent copies vs. one logical identity

Add a Machine. Remove a Machine. The System Continues.

OOS Unified Identity is not a fixed configuration. It is designed to grow and shrink as your needs change.

Need more capacity? Add another machine. It does not matter what network it is on. As long as it can connect and be part of the logical identity, it follows the same defined behaviors and becomes part of the unified identity.

Need to decommission a server? Remove it. The system continues as one identity without it.

Machines can be in the same room or hundreds of miles apart. Geography does not matter. The network the machine is on does not matter. What matters is that every machine is logically part of the same unified identity.

The identity persists. Machines come and go.

3 Machines

A
B
C
One Identity

Machine D Joins

A
B
C
D
One Identity

Machine B Removed

A
B
C
D
One Identity

Multiple Unified Identities

You can also have multiple unified identities running alongside each other. Each one consists of its own set of servers and machines across any number of networks. Each one operates as its own logical system. They coexist independently, each serving its own purpose, each maintaining its own defined behaviors.

An organization might have one unified identity for its manufacturing operations and another for its logistics systems. Different identities, different behaviors, different rules. But each one is internally consistent, no matter how many machines are involved.

Platform Does Not Matter

OOS is built with POSIX standards for maximum portability. The system is independent of the underlying platform.

ARM and x86

Run part of the system on ARM processors and part on x86 servers. They are one identity. The CPU architecture is irrelevant.

Linux, macOS, Unix, and Windows

Machines running different operating systems in the same unified identity. No compatibility layers. No translation.

Any Network

A machine from any network can be part of the unified identity. As long as it can connect, it is part of the system. Location is irrelevant.

Edge and Cloud

Machines on your premises and machines in the cloud, all operating as one system with one set of defined behaviors.

AI Models Under One Identity

OOS connects to AI models in the same controlled way regardless of where the model runs. A local model running on your own hardware and a cloud LLM from providers like OpenAI, Anthropic, Google, or Meta all operate under the same unified identity. The same defined behaviors apply. The same rules are followed.

The behavior does not change because the model is local instead of cloud. The behavior does not change because the model runs on a different machine. The behavior does not change because the system spans multiple networks. OOS ensures the AI produces the right response in accordance with the defined behavior of the objects it encounters, no matter where the model sits.

Any model. One identity. Same behavior.
OOS Unified Identity
Local Model
Private hardware
Cloud LLM
OpenAI, Anthropic, Google
Edge Model
On-device
Cluster
Mac mini, GPU farm
All models operate under the same defined behavior.

Why This Matters

Organizations that deploy AI across multiple machines and locations face a fundamental challenge: how do you ensure the system behaves as one?

Without unified identity, every machine is a separate risk. Different behavior, different responses, different outcomes depending on which machine handled the request. Troubleshooting means investigating each instance individually. Scaling means hoping the new machine behaves like the others.

With OOS Unified Identity, there is one system. Add machines when you need capacity. Remove them when you do not. It does not matter what network they are on, what operating system they run, or how far apart they are. The identity holds. The behavior stays the same.

Because every server in a unified identity follows the same defined behaviors, any server can handle any request. There is no difference between one server and another. This makes the system simple to operate and simple to scale. You do not manage individual machines. You manage one identity.

AI behavior is consistent because it is defined at the identity level, not at the individual machine level. The AI does not behave differently depending on which machine processes the request. It produces a consistent response, everywhere.

When you need separation, you create separate unified identities. One for manufacturing. One for logistics. One for customer operations. Each identity has its own servers, its own defined behaviors, and its own rules. They run alongside each other independently. Clean separation without building separate infrastructure.

No other AI platform offers this. Containers can be replicated. Cloud instances can be scaled. But a single logical AI identity that spans machines, networks, architectures, and AI models with consistent defined behavior everywhere is something only OOS provides.

OOS Unified Identity means one system, not many copies. Define the behavior once. Every machine that joins the system follows it. The identity does not fragment when you scale. It does not change when the platform changes. It does not change when machines are hundreds of miles apart. It is one logical system, everywhere it runs.

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