PhiBox

Your documents become a knowledge base your teams can actually ask questions.

Connect the document collections you already have — contracts, standards, manuals, editorial archives — and let people search, ask and work with them in plain language. Every answer shows the sources it came from, so it can be checked.

Runs on your own infrastructure or hosted in the EU.

Request a demo

The problem this solves

In most companies the knowledge exists. It sits in shared drives, document management systems, intranets and archives. The problem is not that it is missing — it is that finding the right passage takes a specialist half an hour, and the specialist is the expensive part.

Keyword search returns documents. People need answers, with the passage that supports them.

Public AI services can produce those answers, but only for documents you are willing to send them. For contracts, patient records, unpublished standards or client files, that is not an option.

How it Works

From raw files to reliable answers—fast.

PhiBox turns your documents into a governed knowledge layer that anyone on your team can query with confidence. Content is ingested and enriched, smartly indexed, and then orchestrated by agents (via MCP) to fetch exactly what matters. The result: a concise answer with traceable citations to the original sources.

1. Ingest — Connect your CMS, WordPress, drives, APIs, or a web crawler. Schedule syncs so your knowledge stays fresh.

2. Enrich — Normalize formats, run multilingual OCR, parse tables/diagrams, and auto‑tag metadata for better recall.

3. Index — Build hybrid (vector + keyword) indexes per project/client; use index aliases to search across them without mixing data.

4. Orchestrate (Agents/MCP/A2A) — At question time, agentic orchestration chooses the right prompts, tools, and data sources—via MCP—for multi‑step retrieval and optional database lookups.

5. Answer with citations — Users get a clear response with clickable source links and highlight snippets, plus filters for quick drill‑down.

Schema for PhiBox 5

Benefits of Using PhiBox

• • Cutting‑edge AI technologies: Always connected to the latest developments in LLM technology.
  • Model Context Protocol (MCP): Supports a standardized way for AI models to interact with external tools and data sources.
  • Own LLMs: Run your own LLM with your data.
  • Simplicity and efficiency: Intuitive operation and comprehensive interfaces that do not require additional development.
  • Flexibility and control: Installation on own servers, ensuring full control over data and processes.

Installation and Technical Requirements

Deploy on‑premises, in your VPC, or as a managed service. Scales from a single node to high‑availability clusters. GPU optional for model inference.

Costs

• • Server costs: From renting space on the PhiTech server to dedicated clusters and GPU servers, PhiTech can offer these options.
  • License fees: Additional license fees for using the PhiBox software.
  • Optional external costs: Possible additional costs for using LLMs from third‑party providers such as Azure, OpenAI and many more.

Uniqueness

PhiBox stands out for its user‑friendliness and the provision of all necessary interfaces without additional development effort. Unlike competing products, PhiBox offers a comprehensive, integrated solution for managing and utilizing documents through advanced AI technologies.

Agentic RAG with MCP and A2A: orchestrates tools/databases behind the scenes.

Multilingual OCR + picture processing: answers grounded in text, figures, and images.

Index aliases for multi‑tenant search: combine clients or partitions safely.

WordPress plugin: one‑click content ingestion and chatbot embed.

Workflow extension: Extend your AI‑enabled documents with workflow processes using PhiFlow AI.

With PhiBox, companies can effectively manage their documents, quickly find relevant information, and stay at the forefront of technological developments. This makes PhiBox an indispensable tool for companies looking to increase their efficiency and competitiveness.