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AI Integration & Business AI Solutions

Turn AI into practical business functionality instead of experimental demos.

We don't train foundation models. We integrate proven language models where they genuinely take work off your plate: searching company knowledge, processing documents or supporting customer service. Throughout, we pay close attention to data protection, traceability and clean integration with your existing systems.

Free initial consultation

Typical starting points

  • Your team spends too long searching for information in documents, wikis or emails.
  • Incoming documents are read, checked and re-typed by hand.
  • Your customer service answers the same kinds of questions over and over.
  • You want to add AI to your product without putting data quality or privacy at risk.

What we deliver

  • Knowledge assistants (RAG)

    Assistants that answer questions based on your own documents — with source references, so answers remain verifiable.

  • Document processing

    Automatically reading, classifying and structuring invoices, contracts, forms and other documents.

  • AI-powered search

    Semantic search that finds content by meaning, not just by exact keywords.

  • Summarization & extraction

    Condensing long texts, tickets or minutes and delivering the relevant information in a structured form.

  • Customer support automation

    Triage and suggested replies for customer requests — with a clear handover to your team.

  • LLM integration into products

    Connecting language models via APIs to existing applications, including prompt design, evaluation and safeguards.

Our approach

  1. 1

    Use case before technology

    We identify tasks where AI can realistically save time or improve quality — and assess effort and value honestly.

  2. 2

    Small, testable start

    A contained prototype with real data shows early whether the quality is good enough for production use.

  3. 3

    Privacy and control

    We clarify early which data may be processed, choose suitable providers and hosting options, and build in control mechanisms.

Technologies we use

The choice depends on your requirements and your existing system landscape.

  • LLM APIs
  • RAG
  • Embeddings
  • Vector search
  • TypeScript
  • Next.js
  • Java
  • Spring Boot
  • PostgreSQL

Related project experience

Questions about this service

Will our data be used to train AI models?

That depends on the provider and the contractual terms. We review this with you before the project starts and choose a setup that matches your data protection requirements — including models hosted in the EU.

What is RAG?

Retrieval-Augmented Generation: for each question, the language model receives relevant excerpts from your own documents. Answers are grounded in your company knowledge and can be checked via source references.

Other services

Have a specific project in mind?

Briefly describe your situation. We'll get back to you personally with an initial assessment and a suggested time for a no-obligation consultation.

Discuss your project

Free initial consultation — no obligation.

Prefer email? kontakt@strebia.de