The nebra AI platform

Artificial intelligence under your control: Nebra AI

The digitally sovereign solution for mid-sized businesses. Not a chat window with better prompts, but a local workspace with specialized agents that work by your rules and deliver.

For macOS and Windows 10/11 (BETA)

Above the treetops

Your knowledge travels upward.

Every question to a cloud AI takes content along with it. The processing happens outside your company, on someone else's infrastructure.

ChatGPTOpenAI
ClaudeAnthropic
GeminiGoogle
Cloud-firstExternal modelsExternal processing
Below the surface

The knowledge that matters runs deeper.

Website, documents, processes, analytics, customers, products. Spread across systems and people's heads, and nowhere on the internet.

Website
Documents & PDFs
Analytics
CRM & customers
Processes & guidelines
Product knowledge
The reversal

We turn the principle around.

Your knowledge doesn't travel to the AI. The AI comes to your knowledge, right where it already lives.

On the ground

This is where it works. On your machine.

Agents, tools and company context in a single run. On your network, under your control.

Conversion expert connected

What are the three biggest conversion problems on our website right now?

  • Company knowledge loaded
  • Website connected
  • Analytics checked
  • Conversion Expert started

I found three relevant problems. Want me to show you the changes?

Action item createdDraft preparedApproval required
The roots

The internet doesn't train your AI. You do.

Nebra builds a private knowledge base from the data you approve. It grows with everything you share.

Your AI. Your knowledge. Your infrastructure.

Other AI platforms send your knowledge out. Nebra brings the AI to your knowledge.

Private knowledge baseLocal modelsYour own agentsControlled accessYour infrastructure

The Platform is one of three ways in. How it works together with the app and Companion is explained in the ecosystem overview.

To be technically precise: the approved content is indexed and provided as context at runtime. No foundation model is retrained in the process. You decide which knowledge goes into your knowledge base and which agent gets to see it.

Infrastructure

Runs wherever you want it to.

The device above is just an example. The Platform isn't tied to any particular hardware.

On-Premise

Mac mini

A compact computer at your company. The easiest way to get started without a server room.

Your own infrastructure

Private Server

In your own server room or a data center of your choice. You decide on location and access.

Controlled cloud environment

Private Cloud

A dedicated environment instead of shared infrastructure. Isolated, with its own access rules.

The process

From request to implementation. In three steps.

1

You set the goal

Not the instructions, just the goal. “Find out why people abandon checkout.”

2

The agents work

They analyze, assess, come up with action items and implement them, as far as you have approved.

3

You review the result

Not a chat history, but a document: finding, action, implementation, impact.

Your knowledge

Reads your site the way a specialist reads it

A tool sees one layer. A conversion comes from several.

Tech
Load time, structure, errors, indexability. The things tools measure anyway.
Content
Whether the page answers the question someone came with.
Psychology
Where doubt creeps in, where attention drifts, where the next step is missing. 304 checkpoints from 800 A/B tests.
Your context
Tone of voice, company knowledge, checklists. The things no outside model knows on its own.
Teamwork

A team of specialists, not a single chatbot

A chain of clear responsibilities instead of a jack of all trades who knows a little about everything.

Each one sees something different

The SEO expert spots structure and search intent. The conversion optimizer checks the same page for hypotheses and testability. The copywriter reads it as sales copy. Three perspectives, because there are three rulebooks behind them.

And one checks at the end

Before a result lands on your desk, another agent reviews it. Not as a formality, but because two pairs of eyes beat one, even in software.

The difference

Not another tool that just reports problems

All the real work sits between the finding and the change. That is exactly where nebra steps in, not before.

A tool tells you

The page is slow. The bounce rate is high. The title is too long. All true, and all still undone.

nebra tells you

Why it is slow, what that has to do with your sales, which action pays off first, and then writes the change once you approve it.

The difference

AI that answers. And AI that works.

Eight points where a chat window and a real workspace differ.

Where the work runsYour computer or someone else's cloud
In the vendor's cloud
Locally on your computer
What you end up withAn answer or a result
Text in a chat window
A change that's been made
Access to your systemsWebsite, code, numbers, documents
No access, you copy and paste back and forth
SSH, Git, Analytics, Search Console, CMS
ExpertiseGeneralist or specialist
One model for everything
Agents with a role, rules and tools
RepeatabilityDefine it once instead of every time
Rephrase it every time
Set workflows, on a schedule too
ControlHow much the AI may do alone
Take it or leave it
Five levels, adjustable per project
Model choiceWho decides what it runs on
The vendor's one model
Cloud or local, depending on the task
Proof for othersWhat you show management
A chat history
A document with findings and impact

Rather see it once than read about it three times?

The app costs €99 per month plus VAT (introductory price until December 31, 2026), cancel any month.

Repeatability

What you define once still applies next time

The point where a tool becomes a way of working.

Experts

Expertise and quality standards, written down once.

Flows

Set workflows: load, check, assess, implement, report.

Schedules

The weekly check runs without anyone having to remember it.

Reports

They come out of the work itself, not as busywork afterward.

Integrations

Works where your systems are

An AI chat stops where your system begins. nebra keeps going, through controlled connections.

SSHGitGoogle AnalyticsSearch Console MCP serversCMS & websiteClaudeOpenAI GeminiLocal models via Ollama
Control

Control instead of blind trust

The most common objection to AI that actually does things is a fair one: who is liable when it does something wrong? The answer isn't a promise. It's a dial.

Five levels
From pure recommendation to fully independent implementation. Each level includes the one before it.
Adjustable per project
Start cautiously and allow more later, or the other way around. You can change it anytime.
Locally on your computer
The work runs on your device. You decide which model gets to see which task in the first place.
Traceable
What an agent did ends up neatly organized in a document, not buried in a chat history.
Your own AI infrastructure
For companies that want to run models, knowledge and infrastructure entirely in house: the Nebra Private Layer.

The Platform that takes work off your plate

€99 per month plus VAT. All experts and ongoing updates included.