Your knowledge. In an AI system that fits your business.
Use your own documents and current system data for research and assistance, with suitable models and an agreed approach to deployment and operations.
What we deliver
From requirements
to a working solution.
Reviewing the use case and available data
Knowledge search and RAG
Local language models and model evaluation
Integration through APIs and databases
Pilot deployment, evaluation and support
Mikis — your tailored AI assistant
Your AI. Your knowledge.
Your infrastructure.
Mikis connects your own documents and knowledge resources with current data from your systems. We integrate the platform into existing applications through APIs and databases, selecting language models based on the task, data and operational requirements.
We choose where the platform and its language models run based on your data, existing infrastructure and operational requirements.
01 · Your infrastructure
Your own server
Mikis and local language models run on your own servers. Data processing and access remain within your infrastructure.
Suitable if you want to use your own hardware and manage operations within your organisation.
02 · A controlled environment
Private Cloud
Mikis and the selected language models run in your private cloud environment. We configure access rights and system integrations to suit your requirements.
Suitable if you use a private cloud or plan a similarly controlled deployment environment.
03 · No AI hardware of your own
Hosting in a German data centre
Mikis and its language models run in a German data centre. In this configuration, AI processing takes place without transferring data to international AI cloud services.
Suitable for getting started and ongoing operation if you do not want to provide your own AI hardware.
Together, we establish model selection, responsibilities, access rights and privacy requirements. A later move to your own servers or a private cloud can be included in the initial plan.
We consider the technical and organisational requirements of your use case, including privacy and relevant EU AI Act requirements. Where needed, we coordinate legal questions with your legal advisers.
Define the use case and responsibilities. The intended purpose, people involved and responsibilities provide the basis for identifying relevant requirements.
Manage data and access deliberately. Agree on which content may be processed, who has access and how retention and deletion are implemented.
Choose the right deployment model. Evaluate local deployment and other suitable options against your data, integrations and organisational requirements.
Plan for transparency and documentation. Explain the use of AI, its capabilities and limitations clearly, and document technical decisions and evaluation results.
Prepare people to use the system. Guidance on usage, checking results and system limitations helps people work competently with AI.
Frequently asked questions
Start with a clear plan.
Is locally hosted AI automatically compliant with data protection law?
Local deployment can make it easier to control data and access. Whether processing complies with data protection law depends on the specific use, including the legal basis, scope of data, access rights and deletion policy.
How do you address the EU AI Act?
We establish the intended use case and incorporate relevant technical and organisational requirements into planning and development. These may include transparency, documentation, human oversight and AI literacy measures. Where needed, we coordinate legal classification and unresolved legal questions with your legal advisers.
How does working together begin?
An initial conversation establishes your objectives and current situation. We then agree on the scope and terms of planning, prototyping or development.
What determines the effort and cost?
The required functionality, existing content, data quality, integrations and operational requirements. We agree on these factors with you before development begins.
Can you build on an existing solution?
Yes, following a review of its technical foundations and content. We take existing data, processes and relevant URLs into account.
Let's talk
Discuss your AI use case
Tell us about your idea or existing solution. Together, we identify the right next step.
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