Build scalable AI Assistants trained on your data, workflows, and processes



Multi-LLM Strategy


Helping your enterprise adopt a multi-LLM strategy to optimize AI performance across diverse tasks by leveraging the unique strengths of different models.

AI & Virtual Assistants


Creating LLM-powered AI Assistants that seamlessly integrate with your enterprise data to deliver precise, context-aware, and secure responses.

AI Global Orchestrator


Setting up multi-agent workflows where agents collaborate to resolve issues, automate business processes, and reach shared business goals.

See how AI & Virtual Assistants work


User queries are enriched with real-time search across documents, databases, and the internet, combined with LLM intelligence to deliver fast, accurate, and context-aware responses.


AI Assistants are LLM-powered chatbots designed to assist users by answering questions and providing insights.Designed for enterprise environments, AI Assistants seamlessly integrate with internal data sources—including databases, CRM systems, enterprise knowledge bases, and proprietary documentation—to provide precise, context-aware, and secure responses. By harnessing these internal resources, they enhance decision-making, optimize operations, and deliver tailored business intelligence.

How Global AI Orchestrator works


Global AI Orchestrator intelligently routes requests to specialized AI assistants across departments, combining full context awareness with expert knowledge to deliver accurate and efficient answers.


Orchestrator streamlines access to different AI Assistants (LLM-based chatbots) by providing single access point in a form of seamless chat, and context management.The bigger architecture of an LLM Hub relies on a system which allows to seamlessly use any of the chatbot assistants/agents.




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The controller of the data within the scope provided above is Grape Up spółka z o.o. For full information about processing of personal data please visit Privacy Policy.