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You’ve worked hard on your article, report, paper, or thesis. It’s a lot to read for the average person, or even an expert, and it might fly over their heads entirely.
How do you make the knowledge in it accessible?

Or worse, if your document is online, search engines and AI will scan it and create online answers, but they’ll blend several sources, concealing, and maybe misrepresenting your work.
How do you fix this?

Or, if you’re building your own AI solution, you may want to use only data sources for which you have provenance and which you trust.
How do you achieve this?

Scientio solves these problems.

This is a SaaS site where you can create knowledge bases (KBases). You do this by uploading text, reference website pages, PDFs or images.

A KBase is a combination of a knowledge graph, a chat interface, and a drill-down pane to the underlying sources.

The site automatically extracts topics from your source, builds a knowledge graph and provides a chat interface that you can use via our AI to interrogate the source data.

Scientio makes sure that chat responses are only derived from your sources. You can then make this KBase public with your own +site area and web page.

If you don’t choose to share, you can have the same facilities privately.

Our Model Context Protocol (MCP) server makes your data accessible to AI systems like Claude Desktop or OpenClaw. This access can be entirely private, controlled by secure login.

Scientio works using our specialized IP in knowledge-graph-based analytics, Computational Linguistics and AI, built over many years by one of the pioneers of Artificial intelligence.

Features

AI

🧠 AI-Powered Knowledge Management 💬 Chat-Based Interface 🔗 Automatic Topic Indexing 🤖 AI-Generated Cross-Referencing

Content

📄 Markdown Page Creation 🗂️ Web page processing 📝 Image to text 📄 Pdf processing

Knowledge Graph

📚 Knowledge Graph Visualization 📝 Editable Graph 🧠 Graph theoretic reasoning ⏳ Filtering/Reasoning in time

Website

🌐 Auto-generated website 💬 Chat based discussion 🔎 Drill down to source data 📢 Publicize your KBase

Online Knowledge Bases

Each knowledge base you create can be shared online in a read-only form. Users can explore the content without making changes.
This feature is perfect for sharing research, project documentation, or collaborative knowledge with a wider audience.
You can see more in our gallery of knowledge bases.

Real World Examples

Mindfulness and Meditation

A survey of various sources on Mindfulness and meditation

On computable numbers, with an application to the Entscheidungsproblem

Turing's seminal work from 1936 defining computability and the simplest effective computer.

Ethics guidelines for trustworthy AI

The aim of the Guidelines is to promote Trustworthy AI. Trustworthy AI has three components, which should be met throughout the system's entire life cycle: (1) it should be lawful, complying with all applicable laws and regulations (2) it should be ethical, ensuring adherence to ethical principles and values and (3) it should be robust.

Why stories matter. Cuneiform royal literature and its survival in later sources

This is a sample of 5 pages from A.J. Edmonds' book available at https://www.academia.edu/128703772/Triumph_and_Betrayal_Assyria_s_Path_to_Empire_935_745_BC

Scientio help

This is the help KBase for the Scientio product.

Short section of PhD thesis

Time series prediction using supervised learning and tools from Chaos Theory

Why are we called Scientio? Well, Like Elon Musk and X, our founder has held this domain name for many years, always planning to reuse it.
The Latin for knowledge is Scientia. Our founder didn't want a feminine ending, so chose Scientio, which is bad Latin, (his old Latin master would wince) but has the right ring to it.

You’ve worked hard on your article, report, paper, or thesis. It’s a lot to read for the average person, or even an expert, and it might fly over their heads entirely. How do you make the knowledge in it accessible?

Or worse, if your document is online, search engines and AI will scan it and create online answers, but they’ll blend several sources, concealing, and maybe misrepresenting your work. How do you fix this?

Or, if you’re building your own AI solution, you may want to use only data sources for which you have provenance and which you trust. How do you achieve this?