On-Premises AI for Businesses: Implementation and Operation
When performance matters: We develop business-critical AI solutions you can count on.
- Potential Analysis for Local AI with Our Forward-Deployed Engineers
- Assessment of Your Specific Use Case
- Development of Your Custom AI Solution
- High-quality software and the highest security standards
- Secure, highly available operation in Germany
Why develop your own local AI?
Many companies are already using ChatGPT or working with tools like Copilot. However, using public AI services isn’t the right fit for all business challenges.
If your data privacy and data security requirements are more stringent , or if your specific use case cannot be addressed with existing AI tools , we’ll develop your own on-premises AI solution for your business.
Challenges of Standard AI
- Caution Regarding Sensitive Company Data
: AI prompts are processed in external clouds, often outside the scope of the GDPR. - Standard AI cannot handle all processes
Your business is unique, and in some cases, Copilot and other standard AI programs reach their limits. - AI for Your Core Business
Standard solutions carry risks, especially when it comes to critical processes where downtime is unacceptable.
What are the advantages of local AI?
- Full Control Over Data & Costs
Your local AI runs on your infrastructure or in a GDPR-compliant data center in Germany. - Harness the potential of your data with peace of mind
You benefit from the advantages of AI and receive precise results tailored to your specific use case. - Your Own AI: Independent & Secure
Use LLMs for internal applications, such as knowledge management, automation, or chatbots. Your AI is your property.
Local AI at MT Aerospace
What does local AI look like in practice? For the aerospace company MT Aerospace , we developed an AI application that automatically populates documents during the acceptance process— run entirely locally using Ollama.
- No data leakage: At no point does data leave MT Aerospace’s secure infrastructure.
- Less manual work: Values are automatically extracted from any source documents and entered into the existing Word layout.
- Measurable benefits: According to the client, savings in the double-digit percentage range are possible, depending on the project.
- Low-risk launch: The idea was first validated with an AI MVP and then further developed.
When developing software, makandra doesn't just follow the rules—it consistently goes the extra mile. Automated tests, UX enhancements, and suggestions for improvement are rarely found on this scale.
Free AI Magazine: Real-World Client Projects in Detail
Specific projects, results, and real-world figures, clearly summarized in a PDF available for download.
makandra for Your Enterprise AI
Off-the-shelf solutions like Copilot or ChatGPT are quick to implement—but they reach their limits when it comes to business-critical requirements. If AI is becoming part of your core business or is intended to solve a complex problem, you need a solution that integrates seamlessly with your systems, processes, and security requirements.
AI Starter Kits
Developing your own AI doesn't have to be expensive: Start with a small pilot project or a feasibility study. You'll receive concrete implementation options, even on a small budget.
You would like to develop initial ideas for AI applications in your company or further elaborate on and refine a specific AI idea.
Process:
- Preliminary discussions and preparation for your AI proposals
- 1-day potential analysis: we analyze and define your AI use cases
- Final meeting with presentation of the results
Results:
- A detailed concept for specific AI use cases
- Estimates of costs and resource requirements, and next steps
You want to evaluate new business models using AI, optimize processes through automated solutions, or turn a specific AI idea into an initial prototype (proof of concept).
Process:
- Preliminary discussions regarding the specific requirements for the prototype
- Development of the prototype/feedback session
- Revision of the prototype into the final AI PoC
Results:
- Implemented and functional prototype of an AI application
FAQ on Local AI
Having your own in-house AI is worthwhile if you work with sensitive or confidential data (e.g., patient data, financial data, trade secrets), if off-the-shelf solutions cannot accommodate your specific processes, if AI is becoming part of your core business, or if independence from external providers and their pricing is important to you. For companies in regulated industries (healthcare, legal, finance), having their own on-premises AI is often the only option that complies with data protection regulations.
With cloud-based AI services, your inputs (prompts) are processed on servers belonging to third-party providers—often outside the EU’s scope of the GDPR. With on-premises AI, your data never leaves your own data center or infrastructure. There is no reliance on third-party providers, no unintended use of your data for model training, and no uncontrolled data transfers. This is particularly important when employees are working with confidential customer, financial, or production data.
The costs depend on the desired scope of functionality. As an entry-level option, makandra offers an AI potential analysis for €6,500, which involves analyzing specific use cases and developing an implementation plan. An initial functional prototype (AI PoC, Proof of Concept) can be developed starting at €8,000. For a complete custom development, costs are calculated individually based on the scope of functionality. A free initial consultation helps you find the right starting point.
Fabian Rimpl | Managing Director
Free Evaluation and Initial Consultation
Are you ready to launch your own AI project? We'd be happy to provide a customized quote for your company's AI solution or advise you on your options and our packages.