We install the LLM directly on your company’s hardware instead of hosting it in a third-party cloud. The real value lies in our custom middleware: a backend service that connects the LLM to your ERP, MES, and production systems, tailored to your company.
Get started with a fixed-price potential analysis for €2,500. The initial consultation takes place online. You describe your setup, and if needed, we’ll be happy to visit your site to assess the situation. The concept document is yours, whether or not you move forward with us.
A local AI solution is installed by a provider that sets up LLMs on your infrastructure and securely connects them to your systems through middleware. This keeps your data in-house and prevents it from being shared with third parties. CodeGuides installs on-premises AI solutions in Germany, builds internal AI platforms with roles, permissions, and monitoring, and supports further development.
An on-premises AI provider sets up models on your infrastructure, connects them to existing data sources, and supports operations, security, and data sovereignty without relying on external cloud services.
Middleware connects multiple business applications and supports roles, permissions, monitoring, and a clear path for expansion. This gives different departments a shared, secure AI foundation.
Yes. We install local LLMs on your hardware or in your private cloud, including document search and connections to internal systems, in compliance with GDPR and without sharing your data.
CodeGuides installs AI on site, from planning and installation through ongoing operations. For guidance on choosing between local and cloud-based AI, see AI consulting.
Local AI installation: potential analysis for
2.500 €Fully credited if you commission the implementation
or Choose an appointment directly in the calendar
What you’ll receive after the potential analysis
Use case evaluation with prioritization
Which use cases are worth pursuing, and in what order.
Technical target architecture for local AI
A detailed outline of the middleware, model access, and ERP/MES integration.
Data protection and operating model
Who operates what, where data is processed, and who has access.
Effort estimate for the pilot and rollout
A realistic estimate of the time and costs for each phase.
A concrete 90-day roadmap
Clear steps from kickoff through productive pilot operations.
Decision brief for leadership and IT
Presented in a way that’s easy for both technical and business stakeholders to understand.
Many providers that advertise “on-premises AI” actually run a hosted private cloud or sell a standard subscription platform. CodeGuides builds the solution on your own infrastructure and adapts it to your systems.
| Criterion | Typical “on-premises” provider | CodeGuides |
|---|---|---|
| Operating location | Hosted in the provider’s cloud, with tenant separation where needed | Installed on your own on-site hardware |
| Product shape | Standardized SaaS platform / subscription | Individual middleware for your system landscape |
| Integration | Predefined interfaces | Custom backend service for ERP, MES, and production systems |
| Scaling | Tied to vendor roadmap | Build a scalable end-to-end 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 production, runtime, costs, access, operations, and maintainability all matter. That’s why we design architectures that can grow beyond the pilot.
The same people handle the potential analysis, installation, and middleware: our development team. You work with us directly, without going through sales partners or resellers.
You’ll work with the same contacts from the potential analysis through ongoing operations, with personal service throughout.
Installation and middleware come from our team, not from a subcontractor.
Consulting and technical implementation by a Germany-based team.
The middleware—not the LLM—is the core of the solution
Your systems on site
Custom middleware (installed on your premises)
Result in operation
The most promising use cases usually involve clearly defined processes with proprietary data, fixed rules, and measurable benefits. That’s where on-site installation can deliver the most value.
Employees look up machine manuals, work instructions, and process documents on site. Responses are traceable and access-controlled.
Invoices, delivery receipts, inspection reports, and technical documents are analyzed and classified locally, then prepared for ERP/MES.
Tickets, emails, and incident reports are prioritized, routed, or automatically passed to the right point in the process.
Inquiries, lead information, and documents are prequalified so sales and subject matter teams can work with cleaner data.
The middleware connects to MES, machine data, and production control systems so the LLM can be used in production workflows.
We start with a clearly defined use case and build the middleware so it can support additional use cases over time.
No. Many providers that advertise “on-premises” actually host a private cloud. CodeGuides installs the LLM on your own hardware, on site, so no data leaves your network.
The added value lies in the custom middleware: a backend service tailored to your company that connects the LLM to existing systems such as ERP, MES, or production control.
Yes. That’s often the core of the project. Without this integration, even an on-premises AI solution remains an isolated tool with little business value.
The first step is a fixed-price potential analysis for €2,500, which is fully credited if you commission the implementation. The initial consultation takes place online: you describe the use case, data, and infrastructure. Next, we develop the concept, set up the LLM for an initial use case, and plan how to scale it into an end-to-end system.
The initial consultation takes place online. You describe your company’s setup, which is usually enough for an initial assessment. We’ll visit your site to assess the infrastructure only if it’s necessary for the specific installation.
Yes. CodeGuides combines consulting with implementation. We don’t just plan the solution—we install it, develop the middleware, and support it in production.
CodeGuides develops apps for consumers and businesses, with a primary focus on B2C apps. Our in-house team in Germany provides product planning, Flutter development and long-term operations, alongside custom software, AI automation and local AI infrastructure.
Tell us a little about your business and the process you’d like to support with local AI. During the initial online consultation, we’ll listen first and, if needed, visit your site to assess the infrastructure.
A 45-minute online conversation, with no sales pressure. Tell us about your system landscape and use cases. If needed, we’ll be happy to visit your site to assess the infrastructure.
What happens next
Choose a time on the calendar
