Fractal Intelligence Layer for AI Integration

One core to run
all your AI fabrics.

UCO is a fractal brain that sits above OpenAI, xAI, DeepSeek, Kling and any other model. You don’t integrate “another bot” — you plug into a core that can launch, control and coordinate processes through a single chat.

No need to replace your stack. UCO orchestrates it.
Brain instead of one more model
BYOF · Bring Your Own Fabric
One chat → all tools & channels
Built to remove integration pain

How it connects

Your world
Chats · Sites · Bots · CRMs · Agents
One entrypoint for users, teams and automations.
Nervo API
The nerve between you and the core
Receives messages, context and events → routes them into the UCO core.
UCO Core
Fractal brain & orchestration
Launches and manages processes instead of “just replying”.
inner/outer contours
stateful reasoning
multi-branch processes
AI fabrics
OpenAI · xAI · DeepSeek · Kling · TTS · local
You choose the models. Core chooses how and when to use them.
Today
Everyone is integrating models directly into products. Result: dozens of bots, no shared brain, duplicated prompts, and a constant feeling: “AI is powerful, but my stack still feels dumb.”
Pain
Each new provider = new SDK, new prompts, new infra, new failures. Nothing coordinates them. Every conversation resets. No long-term process, just endless responses.
Shift
UCO introduces a different layer: not “another model”, but a fractal core that manages fabrics for you. One brain. Any combination of models. One chat.

Who is UCO for?

UCO is designed for people who are tired of wiring models directly into products. If you build anything where AI must do real work — not just answer questions — UCO is for you.

Builders & teams

Founders, AI teams, agencies

  • One core to run AI across web, mobile, bots and internal tools.
  • Let the core orchestrate OpenAI/xAI/DeepSeek/Kling instead of hardcoding flows.
  • Turn your chat into the control center of your product, not a support widget.
Power users & solo operators

Creators, consultants, solo businesses

  • Centralize your content, socials and automations under one brain.
  • Use your own API keys (BYOF) and let UCO core squeeze value from them.
  • Scale your digital presence without scaling manual work.

How it works: from chat to orchestration

UCO is not “another chatbot”. It’s a structural core that thinks in processes, not in answers. Integration is still simple: one API, one mental model.

Step 1 · Connect Free Core

Start with the Free Core. It explains what the core is, how it sees itself and your product, and what it can do. This is your live documentation and onboarding.

You can embed this core into your own chat to let users explore the system.

User: "What is this core?" Core: "I am a fractal orchestration layer. I don't just answer, I launch and guide processes across your stack."

Step 2 · Wire Nervo API

When you are ready to let the core actually work for you, connect Paid Nervo and wire your stack via Nervo API.

  • Use one endpoint: /nevro/chat
  • Optionally define your fabric_profile
  • Let the core decide how to use your fabrics
POST /api/nevro/chat { "session_id": "user-123", "text": "Plan my content for the week and sync it to all socials.", "channel": "g-chat", "fabric_profile": "my-openai-stack" }

Free Core vs Paid Nervo

UCO is split into two layers so you can separate **understanding** from **execution**: Free Core explains itself, Paid Nervo runs your world.

Free layer
Free Core
$0 · always
  • Learn what UCO core is, from the core itself.
  • Understand fractal intelligence and orchestration.
  • Use as a live “guide” inside your own product UI.
Execution layer
Paid Nervo
from $199/mo
  • Brain-as-a-service for your stack.
  • One Nervo entrypoint for all your chats & agents.
  • Let the core orchestrate your AI fabrics and processes.
Developer layer
Nervo API Docs
Simple JSON API
  • How to call /nevro/chat.
  • How to create fabric_profile.
  • Examples for chat, bots, backends.

Why this removes AI integration pain

Every company is currently rediscovering the same problem: integrating AI model by model, prompt by prompt, channel by channel does not scale. It creates fragile flows, fragmented logic and skyrocketing complexity.

The old way: linear AI

  • Bot per feature, model per use case.
  • Each integration reinventing prompts and flows.
  • No shared memory or understanding between tools.
  • More models ⇒ more confusion, not more intelligence.

The UCO way: fractal core

  • One core above all fabrics and tools.
  • Processes instead of one-off replies.
  • Unified reasoning layer across channels and tasks.
  • BYOF: you choose fabrics, core makes them smart together.