Nice to have you here. We install the LLM directly on your own hardware, in your company, instead of hosting it in a third-party cloud. The real value is provided by our individual middleware: a backend service that controls the LLM connection to ERP, MES and production systems, completely tailored to your company.
Get started via a fixed-price potential analysis for €2,500: The initial consultation takes place online. You describe your circumstances to us and, if necessary, we will be happy to take a look at the situation on site. The concept document is yours in any case, even if it is not implemented with us.
A local AI in the company is installed by a provider who sets up local LLMs on your own infrastructure and connects them securely to your systems via middleware. This means that data stays in-house without being passed on to third parties. CodeGuides installs on-premise AI in Germany, builds internal AI platforms with roles, rights and monitoring and accompanies further expansion.
An on-premise AI provider sets up models on your infrastructure, connects them to existing data sources, and ensures operations, security, and data sovereignty without dependence on external cloud services.
Via middleware that connects multiple company applications, with roles and rights, monitoring and a clear expansion path. This means that different departments use the same secure AI basis.
Yes. We install local LLMs on your hardware or in your private cloud, including document search and connection to internal systems, GDPR-compliant and without data sharing.
CodeGuides installs AI directly on site at the customer's site, from conception to installation to operation. For the basic decision on local or cloud see AI consulting.
Install local AI, potential analysis for
2.500 €Can be fully credited if the implementation is commissioned
or Choose an appointment directly in the calendar
You will receive after the potential analysis
Use case evaluation with prioritization
Which use cases are worthwhile and in what order.
Technical target architecture for local AI
Middleware, model access and connection to ERP/MES specifically outlined.
Data protection and operating model
Who runs what, where does the data run, who has access.
Effort estimate for pilot and rollout
Realistic assessment of time and costs, separately for both phases.
Concrete 90-day roadmap
Traceable steps from start to productive pilot operation.
Decision template for management / IT
Prepared to be understandable for both sides, technically and economically.
Many providers who advertise “on-premise AI” actually operate a hosted private cloud or sell a standard platform as a subscription. CodeGuides actually builds the solution on your own infrastructure and adapts it to your systems.
| Criterion | Typical “on-premise” provider | CodeGuides |
|---|---|---|
| Operating location | Hosted in the provider cloud, separated by client if necessary | Installed on your own in-house hardware |
| Product shape | Standardized SaaS platform / subscription | Individual middleware for your system landscape |
| Integration | Predefined interfaces | Custom backend service for ERP, MES, production |
| Scaling | Tied to vendor roadmap | Building a scalable overall system, step by step |
Not every project should run locally. However, if sensitive data, existing system landscapes or clear operational boundaries are the priority, a local or hybrid architecture is often the cleaner decision.
Internal documents, contracts, customer data or IP should not end up on third-party platforms without control. This is exactly what local architecture is designed for.
An AI chat alone is of little use. Relevance arises when ERP, CRM, DMS, SharePoint or internal portals are integrated.
In productive systems, runtime, costs, access, operation and maintainability count. That's why we build architectures that don't stand still after the pilot project.
The potential analysis, the installation and the middleware come from the same people: our development team, friendly, direct and without detours through sales partners or resellers.
You talk about everything from potential analysis to operation with the same contact person, personally instead of anonymously.
Installation and middleware come from our team, not from a subcontractor.
Consulting and technical implementation from a German team.
The middleware is the actual core of the solution, not the LLM itself
Your systems on site
Custom middleware (installed by you)
Result in operation
The strongest use cases are usually clearly defined processes with their own data, fixed rules and measurable benefits. This is exactly where on-site installation is most worthwhile.
Employees query machine manuals, work instructions or process documents directly on site. The answers remain comprehensible and access-controlled.
Invoices, delivery notes, test reports or technical documents are analyzed locally, classified and prepared for ERP/MES.
Tickets, emails or fault reports are prioritized, suggested or automatically transferred to the right place in the process.
Inquiries, lead information and documents are pre-qualified so that sales and specialist departments can work with cleaner data.
The middleware takes over the connection to MES, machine data and production control so that the LLM can be used productively in the specialist process.
We start with a clearly defined use case. The middleware is built in such a way that other use cases can be based on it.
No. Many providers that advertise “on-premise” actually host a private cloud. CodeGuides actually installs the LLM on your own hardware in your home, no data leaves your network.
The added value lies in the individual middleware: a backend service that controls the LLM connection to your existing systems such as ERP, MES or production control, tailored to your company instead of as a standard product.
Yes. This is often the core of the project. Without this integration, even on-premises AI remains an isolated tool with no real business value.
The first step is a fixed price potential analysis for €2,500, which can be fully credited when the implementation is commissioned. The initial meeting takes place online: you describe the use case, data situation and infrastructure to us. This is followed by the concept, structure of the LLM for an initial use case and further scaling to the overall system.
The initial consultation takes place online. You explain to us the circumstances in your company, which is usually enough for an initial assessment. We only look at the infrastructure on site if it is necessary for the specific installation.
Yes. CodeGuides combines advice with implementation. We don't just plan, we install the solution, develop the middleware and support productive operations.
CodeGuides is an app and AI agency from Germany for Flutter apps, custom software, AI automation and local AI infrastructure. Consulting and implementation come from a single source: We evaluate use cases technically, build the first pilot and scale it up to company-wide operation, GDPR-compliant and with hosting in Germany.
Please tell us briefly and simply about your business and the process you would like to support with local AI. In the initial online consultation, we first simply listen and, if necessary, we then take a look at the infrastructure in person on site.
45 minutes online, without sales pressure. Tell us about your system landscape and your use cases. We will be happy to take a look at the infrastructure on site if necessary.
So it continues
Choose an appointment in the calendar
