Glossary
Sovereign & agentic AI, defined.
Clear, plain definitions of the terms behind sovereign agentic AI, the Company Brain, and the technology Eigen Networks builds.
- Sovereign AI
- AI where the models, the data and the infrastructure all stay under the organization's own control. Nothing is processed or retained by a third party outside the organization's perimeter.
- Agentic AI
- AI that does not just answer questions but acts. Agentic systems decompose goals, plan, make decisions, collaborate and carry tasks through to completion.
- Sovereign Agentic AI
- Autonomous, multi agent AI that runs entirely inside an organization's own infrastructure, so agents plan and act on the company's own data with no data leaving its perimeter.
- Agentic AI Network
- A coordinated network of specialized AI agents that plan, collaborate and execute together, orchestrating many small models rather than relying on a single large one.
- Company Brain
- One connected agentic AI network for a whole company. An agentic network is built for every business function and the networks connect into a single intelligence that reasons and acts across the business, on the company's own infrastructure.
- Small Language Model (SLM)
- A compact language model small enough to run privately and economically on an organization's own infrastructure. Matched to the right task and orchestrated as a network, SLMs deliver enterprise grade accuracy without the cost or exposure of frontier APIs.
- Data Sovereignty
- The principle that an organization's data stays subject to its own control and to the laws of its own jurisdiction. In AI, it means data is never sent to or processed by external services.
- On-premise AI
- AI that runs inside an organization's own data center or environment rather than in an external cloud, so data and models never leave the organization's control.
- Air-gapped AI
- AI that runs in an environment with no outbound network connectivity at all. Essential for classified, defense and highly regulated settings.
- Zero data egress
- A property of a system where no data leaves the organization's perimeter. Inputs, outputs and intermediate results all stay inside the organization's own infrastructure.
- Hierarchical Task Networks (HTN)
- A planning method that decomposes a high level objective into a structured hierarchy of smaller, executable tasks that agents can plan and carry out, instead of relying on brittle prompt chains.
- Human in the loop
- A design where AI agents act autonomously when confident and escalate critical or uncertain decisions to people at the right moment.
- Model-agnostic AI
- An architecture that is not tied to any single model or vendor, so the underlying models can be swapped and evolved over time without re building the system.