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.