How TellusR’s AI Communications Hub give you control of data, cost, and digital sovereignty
By:
Morten Krogh-Moe, CEO TellusR
Across industries, organisations are discovering that owning their data is not the same as controlling it. As artificial intelligence (AI) becomes deeply embedded in operations, many enterprises face a new version of an old problem: vendor lock-in, rising model costs, and limited visibility into how and where their data is used.
TellusR’s AI Communications Hub offers a different path, built on control, flexibility, and trust.
Core in the AI enterprise architecture
TellusR is designed to be a sovereign AI infrastructure layer, a connective tissue between your internal data and the fast-moving world of language models (LLMs).
Installed securely on-premise or in your private cloud, the Hub allows you to:
Search and query your own business data through natural language — without that data ever leaving your control.
Integrate internal and external models (OpenAI, Gemini, or open-source options) and decide which model to use per task, balancing performance, sensitivity, and cost.
Govern usage and spend with built-in routing, quotas, and audit trails that make AI consumption predictable and compliant.
For CIOs, CTOs, and data leaders, TellusR becomes a core architectural component as an AI abstraction layer that decouples business innovation from vendor dependency.
Solving the growing costs of AI
While most organisations have embraced AI pilots, many now struggle with escalating costs and unpredictable consumption patterns. Every new model or API adds complexity and risk.
TellusR addresses this by enabling flexible model orchestration. You can:
Run lightweight local models for internal requests.
Burst to premium external APIs only when needed.
Track usage and allocate costs per department or project.
The result is cost transparency and efficiency, a major improvement over one-size-fits-all cloud billing.
Restoring data sovereignty and trust
Data is an enterprise’s most valuable asset — yet outsourcing AI processing often means losing visibility and control. With TellusR, data security and sovereignty are built in:
No data used for model training unless you explicitly allow it.
Local processing on your own servers or trusted environments.
Full compliance with European data protection standards and alignment with emerging sovereign AI frameworks.
For public-sector institutions and critical industries like energy, finance, and healthcare, this makes TellusR a safe and compliant foundation for scaling AI responsibly.
A strategic enabler for the sovereign AI era
The market is shifting. Hyperscaler lock-in and opaque AI pricing models are now recognised as operational risks. Enterprises want choice, flexibility, and sovereignty and TellusR is built precisely for that.
By making your own AI architecture open, controlled, and economically predictable, the TellusR AI Communications Hub becomes more than a product; it’s an essential layer in the future-ready enterprise stack.
