Phonemos AI
One AI connected to everything you know.
Connect your LLM of choice to your Phonemos knowledge base, projects, and services — with full data sovereignty, fine-grained access control, and a single security review that covers everything.
The problem with AI today
Every application you use now comes with its own AI upsell. One LLM for your wiki. Another for your project tracker. A third bundled into your service desk. Each one requires its own security review, its own data processing agreement, its own compliance assessment — and none of them know anything about the others.
The result: expensive AI silos that duplicate cost, fragment your knowledge, and multiply your compliance burden.
Phonemos takes the opposite approach.
Bring your own LLM. Pay for it once.
Phonemos does not bundle a vendor-selected LLM into the product and charge you for it. Instead, it connects to the AI platform your organisation has already chosen — or the one you want to evaluate.
Connect any OpenAI-compatible endpoint: Microsoft Copilot, ChatGPT Enterprise, Claude, Mistral, Gemini, or a self-hosted model running in your own infrastructure. Phonemos exposes its knowledge base, project data, and service records to your AI via an MCP (Model Context Protocol) server — the emerging open standard for connecting AI agents to enterprise systems
One LLM contract. One security assessment. One data processing agreement. All four Phonemos pillars covered.
AI that knows your organisation — not just the internet
A general-purpose LLM knows a great deal about the world. It knows nothing about your processes, your decisions, your policies, or your projects. Grounding your AI in your organisation's own knowledge is what turns a capable tool into a genuinely useful one.
Phonemos is the knowledge layer that makes this possible. Everything stored in Phonemos — wiki pages, Word and PDF files, process documentation, GRC records, project decisions — is automatically indexed and made available to your LLM as grounded context. The AI can retrieve the right internal information for every query, and the answers reflect your organisation's actual state, not generic web knowledge.
AI-powered semantic search is live today: find content by meaning across wiki pages, PDFs, Word files, and image text (via OCR), even when the exact words don't match.
The four-layer knowledge flywheel
Connecting an LLM to a knowledge base is step three of four. The full flywheel is what separates an organisation that has AI from one that gets value from it.
Know what your teams actually need
The people who hold knowledge are often not the people who need it. Phonemos forums and discussion features surface the real questions your audience has — so knowledge production is demand-driven, not guesswork.
Keep your knowledge fresh and trusted
Knowledge bases rot. Phonemos metadata and data stewardship tasks automatically flag pages that have not been reviewed in a defined period. Outdated content is surfaced for update before it misleads anyone — including your AI.
Give your AI real organisational context
Connect your LLM via the Phonemos MCP server. Your AI can query pages, documents, GRC records, and project data — always within the permissions of the current user. No sensitive content leaks across access boundaries.
Measure and close the gaps
Track the metrics that reveal where your knowledge base is failing: search-to-resolution rate, knowledge freshness index, unanswered query volume. The data shows you exactly where to invest next.
Why your CISO will approve this in one review
AI adoption in regulated environments is not a technology problem — it is a compliance problem. Every new AI integration means another vendor assessment, another data processing agreement, another set of questions about where data goes and who can see it.
Phonemos eliminates that multiplication. Because Phonemos connects to your LLM rather than bundling its own, there is one AI vendor to assess — not one per product. The assessment you conduct for your LLM covers Phonemos Docs, GRC, Projects, and ESM simultaneously.
Per-site LLM opt-in
Sensitive content can be excluded from the AI layer entirely — configured per site, not a platform-wide toggle.
Access control respected by the AI
The MCP server enforces Phonemos' fine-grained permission model. Your LLM only surfaces content the current user is already authorised to see. No data leaks across organisational boundaries.
Sovereign by design
Phonemos is ISO 27001:2022 certified, GDPR-compliant, and not subject to the US CLOUD Act. Your AI runs on European infrastructure with no US hyperscaler dependency.
Self-hosted LLM option
Run your own OpenAI-compatible model on-premise. Your knowledge never leaves your infrastructure.
AI feature support in Phonemos
AI-powered semantic search
Find content by meaning across wiki pages, PDFs, Word files, and image text (OCR). Understands synonyms and cross-language matches. Configurable embeddings (default: Mistral AI).
MCP server
Exposes your Phonemos knowledge base to any AI agent or enterprise LLM platform as grounded context. Works with Copilot, ChatGPT, Claude, Mistral, Gemini, and any OpenAI-compatible platform.
Bring your own LLM
Connect any OpenAI-compatible LLM for completions and embeddings. Per-site opt-in keeps sensitive content LLM-free.
AI agent in sidebar
Conversational AI agent embedded directly in the Phonemos interface, with access to platform context.
Your AI. Grounded in your knowledge. Sovereign by design.
