What can you build with Nosia?
A self-hosted AI platform adapts to your use case — from internal knowledge bases to sovereign, on-premise deployments. Here are some of the most common.
Internal knowledge base & document Q&A
The problem: answers to your organization's questions are buried across wikis, PDFs, and shared drives. How Nosia helps: Retrieval Augmented Generation (RAG) indexes your own documents so employees get accurate, sourced answers in natural language — without that data ever leaving your servers.
Get startedPrivate customer-support assistant
The problem: support teams answer the same questions repeatedly, and sending customer data to a third-party AI is a compliance risk. How Nosia helps: a self-hosted assistant grounded in your help center and product docs drafts accurate replies while keeping customer data on your infrastructure.
See featuresDeveloper tooling with an OpenAI-compatible API
The problem: you have apps built against the OpenAI API but need to control cost, privacy, or model choice. How Nosia helps: Nosia's OpenAI-compatible API lets your existing clients and tools point at your own instance with minimal changes — a drop-in path to self-hosted AI.
Get startedConnecting AI to your internal tools (MCP)
The problem: a chatbot that can't access your systems has limited value. How Nosia helps: the Model Context Protocol (MCP) connects Nosia to your internal tools, APIs, and data sources through an open standard, so the AI can act on real, live information.
See featuresRegulated & sovereign deployments
The problem: public sector, healthcare, finance, and other regulated organizations cannot send sensitive data to external AI services. How Nosia helps: because Nosia is fully self-hosted and open source, you deploy it on-premise or in your own cloud, keeping data sovereignty and meeting regulatory requirements.
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