Case study · The brain of the ecosystem
An AI brain.
A product factory.
The AI brain of the Ryze ecosystem. Skills, memory, databases and agents that build the products, collect the numbers and manage the leads for each vertical.
- AI agents
- 22
- Active rules
- 13
- Databases
- 10
- Collected
- every morning
The problem
Building one product per vertical gets expensive if you start from scratch every time: new tools, new databases, new processes.
What we built
- 01
Reusable skills and memory that build each new vertical on the same model.
- 02
A single database structure for all products.
- 03
A cockpit in ten worlds (Focus, Studio, Constellation, Kernel…) showing the activities, the numbers and Katia Ryze’s showcase, updated automatically.
- 04
A Kernel that versions 22 agents, 7 skills and 13 rules, with learnings kept under control.
- 05
Automatic daily readings (projects, repositories, databases) published on katiaryze.com.
Why it works
Every product benefits from what the others have learned.
Public numbers are dated, and some are collected automatically.
A new vertical launches in days, not months.
Frequently asked questions
What is RyzeOS?
Ryze’s internal AI brain: skills, memory, databases and agents that build the products and run the ecosystem.
Is RyzeOS for sale?
No, it is the internal tool used to build and run the Ryze products.
Where do the numbers on katiaryze.com come from?
From RyzeOS: some are declared and dated, others are collected automatically every morning.
Your project
The same standard, for your trade.
Describe your business in 2 minutes: recommended modules, pricing, then a human gets back to you.
