Unlock Internal Knowledge – with AI-Powered Conversations

Our Enterprise Knowledge Bot centralizes scattered information pieces and makes them instantly and easily accessible. Using the power of LLMs with Retrieval-Augmented Generation (RAG) you overcome information silos and get the consumer-grade experience of AI Chatbots with your company data, process details, policies, customer information or onboarding material.

The Challenge

Corporate Knowledge is scattered across multiple systems, unstructured formats and even local laptops.
According to IDC employees spend about 2.5 hours per day, or roughly 30% of a workday, searching for information. (Source: IDC, The High Cost of Not Finding Information)
Traditional Enterprise Search functions have proven to be outdated and ineffective.

Finding and having access to accurate and up-to-date information significantly wastes employee productivity and negatively impacts their experience.

What you Get

A secure, scalable AI Assistant that understands your content and delivers precise, contextual answers — instantly and traceably.

Smart Knowledge Retrieval – Semantic indexing of internal content, enriched with metadata and embedded in vector databases — enabling fast and relevant retrieval.
AI-Powered Answer Generation – Natural language queries are matched with internal knowledge and answered by large language models (LLMs), with full source traceability.
Flexible Delivery Options – Available as a Microsoft Teams chatbot, custom web app or via API integration — tailored to your existing IT landscape and workflows.
Enterprise-Ready Capabilities – Role-based access, multilingual support, GDPR-compliant architecture, usage monitoring, and a built-in feedback loop for continuous improvement.

Benefits

Instant access to business-critical knowledge — without expert involvement
Scalable across teams, domains, and languages
AI Chatbot experience enriched with your enterprise knowledge, data and context.
Fully secure and compliant by design
Optional extension to Agentic Workflows

Tech
Stack

Compatible with cloud-native platforms (e.g. Microsoft Azure)
Deployable via modular, open or containerized architectures
Closed and open source Large Language Models

Enterprise Knowledge at your Fingertips.

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