Manage sensitive data securely and work efficiently at the same time.

Why is AI secure when used locally on-premises?

In a sensitive environment where data protection and security are paramount, local, on-premises AI solutions offer crucial advantages. Control over data processing and storage is essential, especially for small and medium-sized enterprises (SMEs) that handle sensitive data.

On-premise solutions enable direct data management within the company , minimizing security vulnerabilities and ensuring reliable compliance with GDPR and other data protection regulations . This means that the efficient and secure processing of sensitive data within the company is guaranteed.

For example, documents, emails, and photos never leave the company and are analyzed within the company's own data center. This also easily prevents "external public AIs" from being trained with company data.

A local on-premise AI solution creates higher data security , enables individual adaptation to company needs and ensures complete control over one's own data .

What might such an application look like in practice ?

Application example in a law firm

Previously: Manually reviewing and processing large document collections is time-consuming and ties up resources.

New digital process : Automatic summarization and highlighting of relevant passages accelerate the analysis process and support work with sensitive documents.

How can the solution be implemented?

• A private chatbot analyzes legal documents, summarizes them, provides information about the content, and displays relevant passages with references.
  This saves lawyers and legal assistants valuable time , which can then be used for strategic decisions and drafting.
• Example of individualization :
  Using a specific context and question format ensures that no important details are overlooked.

Transcribe, translate & process conversations with local AI

Digital advantage for: Law firms, medical practices

Meticulously taking notes during a lengthy negotiation and then translating them into a report requires expertise and time. A digital process offers significant improvements for achieving fast, high-quality results.

⚠ A manual transcription is often Slow and poorly integrated into the overall process . As a result, conversation details are available late or even contain errors that require correction rounds.

✅ The rapid automatic transcription of conversations makes the discussed topics quickly and transparently comprehensible for all participants. An accompanying digital processing workflow ensures... High-quality protocols and summaries, even across language barriers .

Our Transcription of conversations significantly improves the quality of protocols .

• The Transcription is done quickly and accurately in parallel with the ongoing conversation. and the generated text can be manually supplemented in a separate step, for example to add informative notes.
• Additionally, the The transcript is translated into the desired target language . Specific training in dialect and technical language ensures high translation quality.
• In summary, a Automatic processing into the desired form such as a results log or summary. Also additional content checks Missing connections or questions are possible.
• All Conversation results can also be analyzed via a chatbot. and yet remains compliant with data protection regulations thanks to our exclusively local AI solution.

And now our CLUE:

The aforementioned use cases – often also called application scenarios – run individually or as a complete process chain from From start to finish on our CLUE AI platform .
In doing so, we not only support individual application steps, but accompany the entire business process .

We develop our CLUE AI platform continuously for local operation: Secure and compliant with data protection regulations . This ensures that the data remains within the company and is protected by data protection regulations. exclusively local artificial intelligence They are processed cleanly. That's what intelligent innovation looks like.

How is safe AI implemented locally?

One Local AI solutions differ from the use of external public AI solutions like ChatGPT in the following ways:

• installation
  The necessary infrastructure is built and configured in our own data center. Our solutions are easily and quickly integrated into existing IT infrastructures using pre-built Docker containers .
• integration
  Individual user interfaces such as private chatbots or interfaces to existing systems via APIs are implemented.
• Operation
  Security, monitoring and the updating of used open source models (S2T, NMTs, LLMs) are customized to the specific needs of the company.
  Isolating our Docker containers increases security , as applications run in separate environments.
• optimization
  Performance optimization is implemented for the respective infrastructure and integration into the existing system landscape.
• use
  Training, company context and data processing are specifically tailored to the business processes within the company.

We have these Advantages recognized early : Our expertise offers the clean and data protection-compliant implementation from on-premise AI models Into your existing business processes. Simple, all from one source.

Further reading recommendations

• Digital processes are effective – combining efficiency and data protection with local AI
• Maintain data privacy with local AI models
• ChatGPT down? Here's how to stay productive anyway!
• Secure AI solution for SMEs: data protection compliant & local