Your own local AI
The ChatGPT Enterprise alternative for your company: We implement your own LLM, hosted in Germany or on your own infrastructure. No vendor lock-in. Your application. No risk.
Why your own AI?
Many companies already use ChatGPT & Co., but relying on external AI services comes with limitations and challenges. Limitations because you may not be able to fully leverage your own data. Challenges because data protection must be ensured and dependence on third-party providers makes long-term planning more difficult.
challenges with cloud AI
- data protection & compliance
Sensitive company data is processed in external clouds, often outside the scope of GDPR. - vendor lock-in disadvantages
Dependence on third-party providers and unpredictable pricing models make long-term planning difficult. - generic data
Cloud AI models do not include your company's own data, leading to inaccurate and generic results.
our solution: your own local AI
- full control over data & costs
Your AI runs locally or in a GDPR-compliant cloud in Germany. - independent & secure
Use LLMs for internal applications such as knowledge management, automation, or chatbots – without reliance on external providers. Your AI remains your property. - unlock the potential of your data
Easily and confidently use your business data to benefit from AI while ensuring precise, tailored results for your specific use case.
Use cases for your local AI
- Faster access to knowledge
AI can serve as an intelligent search and response system, providing employees with relevant company information instantly. - Collaborative knowledge base
Continuous analysis of internal documents and processes enables AI to build an up-to-date knowledge database. - Streamlining training and onboarding
New employees can get up to speed faster by asking the AI specific questions and receiving relevant training materials.
- Analyzing incoming business correspondence
AI can understand text, extract relevant information, and forward it to the right contacts. - Contract and invoice analysis
Contracts, invoices, or orders can be automatically categorized, reviewed, and processed. - Data-driven decision support
AI analyzes historical company data and generates forecasts or recommendations for strategic decisions.
- Automated classification and forwarding
AI recognizes the content of inquiries and routes them to the appropriate departments. - Support trend analysis
Recurring issues or weaknesses in products and services can be identified early and addressed proactively. - Chatbots and self-service solutions
Customer inquiries can be handled automatically, reducing the workload of support teams.
- Data sovereignty
Sensitive business information remains within your own infrastructure, ensuring better compliance with data protection regulations. - Customization
AI can be specifically tailored to company policies and requirements without third-party access to critical data.
AI is not just hype for us, but a tool to create real competitive advantages – secure, sustainable, and with full data ownership. We show our customers how to use AI strategically without becoming dependent.
how we implement your AI solution
If you want to deploy local AI solutions, we support you from the very beginning with a structured process. We develop a well-thought-out concept that considers existing processes, security requirements, and corporate culture. A close collaboration between IT departments, subject matter experts, and external specialists forms the foundation.
Our approach includes the following best practices:
concept development
We analyze your requirements and develop a tailored strategy for implementing local AI solutions, considering security aspects, compliance requirements, and integration options.
selecting the right models
We help you choose a language model that can be flexibly adapted to your internal requirements. For our Proof of Concept, we work with Meta’s LLaMA.
building a secure infrastructure
Together with you, we develop an IT environment that meets the highest security standards, ensuring maximum data protection in compliance with German and European regulations.
integration into existing processes
We ensure seamless AI integration into your workflows. Through collaboration with your IT department, business units, and external experts, we guarantee an efficient and smooth implementation.
training and change management
The successful adoption of AI requires internal acceptance and knowledge. We support the implementation with comprehensive training and change management initiatives to maximize AI’s potential and eliminate concerns.
Your company data integrated with RAG
Company-specific information is integrated into your LLM using Retrieval Augmented Generation (RAG) and stored in a vector database. When queries are made, the system retrieves the most relevant documents from the database to enhance responses.
This ensures that only your sensitive business data is contained within your AI, running on your own servers or in our data center in Germany. No data is shared with OpenAI, Meta, or other corporations that developed the underlying language model.
Competitive advantage AI – Flexible and future-proof
With a local AI solution, you remain flexible and independent. Your AI does not become outdated – you can update the language model at any time or switch to a more powerful one when needed. This allows you to benefit from AI today while keeping the option to integrate future innovations seamlessly.
Your AI can always be further developed – so you stay state-of-the-art in the future.
AI kickoff – our starter packages
AI doesn’t have to be expensive: Start with a small pilot application or an idea generation workshop. You’ll receive concrete implementation possibilities within a small budget.
You want to develop initial AI ideas for your business or refine an existing AI concept.
Process:
- Preliminary discussions and preparation for AI ideas
- 1-day workshop: analyzing and refining your AI use cases
- Final discussion and delivery of results
- Detailed concept for concrete AI use cases
- Cost and resource estimation
- Recommended next steps
You want to evaluate new AI-driven business models, optimize processes, or develop a prototype.
Process:
- Preliminary discussions on prototype requirements
- Prototype development and feedback iteration
- Refinement of the prototype into a final MVP
- Implemented and functional AI application prototype
we develop your own local AI
For custom AI development, costs depend on the scope of features you need. Your AI is built on our existing Proof of Concept makandra AI, which reduces development costs.
Let’s discuss your budget and requirements.
