Secure AI solution for SMEs: Local artificial intelligence

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

Why AI locally on-premise?

In a sensitive environment where data protection and security are top priorities, local on-premise AI solutions offer decisive advantages. Control over data processing and storage is essential, especially for small and medium-sized companies that process sensitive data.

On-premise solutions enable direct data management within your own company , which minimizes security gaps and reliably complies with GDPR and data protection guidelines . This means that the efficient and secure processing of sensitive data within the company is ensured.

Example: Documents, emails or even photos never leave the company and are analyzed in the company's own data center. This also simply prevents "external public AIs" from being trained with the company data.

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

What might such an application look like in practice ?

Application example in the law firm

Before: Manually reviewing and processing extensive document inventories is time-consuming and ties up resources.

New digital process : Automatic summarization and highlighting of relevant passages accelerate the analysis process and support working 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.
  Lawyers and paralegals save valuable time , which is then freed up for strategic decisions and drafting.
• Example of individualization :
  Using a specific context and question pattern ensures that no important details are overlooked.

Transcribe, translate & process conversations with local AI

Digital advantage for: Law firms, practices

Carefully taking notes on a long negotiation and translating it into a transcript requires specialist knowledge and time. A digital process creates significant improvements for fast, high-quality results.

⚠ A handwritten transcription is often slow and poorly integrated into the overall process . As a result, the conversation details are available late or even with errors that require rounds of corrections.

✅ The fast automatic transcription of conversations makes the topics discussed quickly and transparently understandable for all those involved. An accompanying digital process for processing ensures high-quality protocols and summaries even across language barriers .

Our Conversation transcription significantly increases the quality of protocols :

• The Transcription is quick and precise parallel to the ongoing conversation and the generated text can be supplemented manually in a separate step, for example to add informative notes.
• In addition, the Transcript translated into a desired target language . Specific training in dialect and technical language enables high translation quality.
• In summary, a automatic processing into the desired form such as a results report or summary. additional content checks on missing connections or questions are possible.
• All Conversation results can also be analyzed via a chatbot while still remaining data protection compliant and secure thanks to our exclusively local AI solution.

And now our CLUE:

The mentioned application cases - often also called use cases - run individually or as a complete process chain from Start to finish on our CLUE AI platform .
In this way, 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 in the company and exclusively local artificial intelligence are processed cleanly. This is how intelligent innovation works.

reading tip

• Maintain data privacy with local AI models

How is secure AI implemented locally?

One local AI solution differs from the use of external public AI solutions such as ChatGPT in the following points:

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

We have this Benefits recognized early : Our expertise offers the clean and data protection-optimal implementation of on-premise AI models into your existing business processes. Uncomplicated from a single source.

Learn more about the use and benefits of local AI solutions on our blog posts & pages:

reading tip

• Maintain data privacy with local AI models
• ChatGPT down? How to stay productive anyway!
• Secure AI solution for SMEs: data protection compliant & local

Questions? Please let us know!

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Be it by calling 📞 +43 1 9972834 or via our contact form ⬇️