Nionium AI Custom: About

Overview

Nionium AI Custom is a highly sophisticated generative AI system, similar to OpenAI’s ChatGPT, but customized to your business needs, trained on your data, and branded with your logo. It is basically like having your own specially trained ChatGPT permanently connected to your company’s data.

Main Functionalities

This is the User Interface of our flagship product Nionium AI:

This is how a branded Nionium AI Custom User Interface looks like:

AI Agents

The biggest difference from ChatGPT is our professionally trained AI Agents. On one hand, their existence enables seamless communication between your staff and your data. On the other, they can be trained on country- and sector-specific knowledge.

Agentic Workflows

Not only can you chain simple prompts, but you can also integrate different AI Agents into your workflow to create an automated system that streamlines complex tasks. This feature enables you to design workflows involving multiple AI Agents, speeding up task completion, improving efficiency, and enhancing the model's reasoning for more accurate and relevant answers.

Project Folders

Project Folders create a central hub for chat activities related to specific tasks. Here’s what they can do for you:

Select a specific model for your project: You can assign an AI model to each project. When starting a new chat within the project, it will automatically use the selected model. You can update the model as the project evolves.
Select a default AI Agent: Assign an AI Agent to your Project Folder. Once assigned, all new chats in the project will begin with the selected AI Agent.
Provide context and instructions: This allows you to set guidelines for the AI within the project, such as tone, response style, or focus areas. These instructions apply only to the project and do not affect global system settings, letting you tailor the AI’s behavior to meet the project’s unique needs.
Build persistent memory for your project by uploading training documents: Upload essential documents—such as reports, datasets, or style guides—directly into each Project Folder. These files become part of the project’s system instructions.
Connect with your data sources using Dynamic Context: Retrieve content from an API and inject it into the system prompt. This feature allows you to add live information to the AI or implement Retrieval-Augmented Generation (RAG) using your own data sources (e.g., vector store database).

As a result, every new chat within the same project will have access to the knowledge established for the entire project.

Comparison

Here is how NIONIUM AI compares to ChatGPT, the most popular AI user interface to date.

	Nionium AI Custom	ChatGPT
Models	OpenAI, Gemini, Anthropic, Deepseek, etc.	Only OpenAI models
Training Data	Dynamic and up to date	Knowledge cut off in December 2023
Maximum context window	2.8 Million Tokens = 2M words	128k Tokens = 100k words
Professionally trained AI Agents	Yes	No (only user side)
Customizable default output options	Yes	Very limited
Prompt Library	Yes	No
User data storage	Local default, cloud optional	Data on server and used for training
Advanced organizational structure	Yes	Very limited
Websearch	Perplexity	Conventional
Websearch with images and graphs	Yes	No
Agentic Workflow	Yes	No
Connect Data	Full data connection and control	Limited

Summary

Nionium AI facilitates advanced human to machine interaction for your organization

When using Nionium you get

More precision
More high quality knowledge
More output options
Agentic workflows
Better data connection
Better visualization option

than with any other generative AI system available today.

Guide