AI Communications Hub:
A New Standard for Corporate AI
An AI Communications Hub (ACH) is a centralized control layer that facilitates secure, flexible, and orchestrated communication between AI models, internal data, users, and business systems. It is the missing hub in the AI era.
AI is accelerating – but control is slipping
Your data is scattered, AI models reside in silos, and governance is fragmented. Without a unified control point, AI becomes harder to trust and scale. Generative AI is transforming industries, yet most organizations still lack the infrastructure to connect AI to their proprietary data—in a way that is secure, flexible, and fully controlled.
Common questions we hear:
How do we integrate internal data with AI securely without introducing new risks?
How can we ensure that AI delivers accurate and verifiable answers—instead of black-box responses?
How do we manage AI workflows without being locked into a single AI provider?
The missing link is not just another AI tool. It is an entirely new category.
At TellusR, we are introducing a new category: AI Communications Hub. Think of it as your communication center for the AI era.
An ACH is the operational 'switchboard' that manages how AI models interact with both internal and external data, users, and systems. It enables both businesses and public organizations to:
Route AI-driven tasks to the correct AI model, based on context, sensitivity, and business objectives.
Ensure secure, traceable data flow between AI models and internal systems while maintaining complete data sovereignty.
Utilize multiple AI agents and models in parallel, with the flexibility to switch models or architectures as needed.
Control how AI responses are shaped, monitored, and managed across communication channels.
Fundamentally, TellusR is the hub where AI, data, and users come together in an AI workflow that you control.
How the TellusR AI Communications Hub Operates
The TellusRs platform functions as your AI hub:
Data preparation and enrichment: Our system collects and structures your documents, automatically dividing them into context-aware paragraphs enriched by internal NLP models. This transforms raw data into a high-quality knowledge base ready for use with AI.
Vector-based retrieval (Vector DB): All exposed data is vectorized, enabling semantic search and retrieval. AI models can now find relevant data based on meaning, not just keywords.
Retrieval-Augmented Generation (RAG): Before a response is generated, highly precise content/paragraphs from your internal datasets are sent to the AI model, ensuring accurate and fully auditable AI responses directly linked to your source material.
The combined process guarantees precise and transparent AI results – fully aligned with your data governance requirements and operational needs.
TellusR has expanded the ACH with a Boost Graph component. This enables mapping and leveraging the relationships between documents, processes, users, and other data nodes.
The combination of Vector DB and Boost Graph allows the system to:
Dynamically enhance/filter content using LLM.
Increase the precision in selecting relevant context by utilizing knowledge of where data elements/text fragments are positioned in the content structure or categorized.
Includes MCP Tools
TellusR ACH supports the Model Context Protocol (MCP) – an open standard that seamlessly connects large language models and external/internal services in a secure and efficient manner. With MCP, TellusR enables seamless data flow and actions across apps, databases, and business systems. The MCP tools in TellusR make it easy to both send and retrieve data through standardized endpoints, regardless of the system provider.
TellusRs ACH is developed for organizations operating in complex IT environments.
Key Features:
On-premises deployment: Keep all data processing within your firewall.
Model-agnostic flexibility: Dispatch tasks to the AI model of your choice – ChatGPT, NorLLM, Mistral, Google Gemini, or your own proprietary models.
Multi-AI orchestration: Build pipelines and AI hierarchies where different models or agents collaborate to accomplish tasks.
Management dashboard: Configure models, manage prompts, and monitor context flows directly in the hub.
MCP-tools: Seamlessly connect large language models and external/internal services in a secure and efficient manner.
TellusR enables businesses to deploy AI where it matters most:
AI-driven search and knowledge bases: Deliver context-rich answers, not just document links.
AI-driven customer service: Use RAG and internal data to enhance chatbots and automated support tools.
Business process automation: Integrate AI into workflows to reduce manual costs.
Compliance and risk management: Utilize AI to track and validate adherence to policies and regulations.
Predictive analytics and insights generation: Leverage AI and your data to uncover patterns and forecasts that businesses can capitalize on.
Leading public and private organizations are already using TellusRs AI Communications Hub as the critical link between their data, users, and AI models.
In close collaboration with our clients, we are developing the next generation of AI hubs – designed to deliver end-to-end control, flexibility, and enterprise scalability.
Let's set up a technical deep dive in TellusR.
