Talk to machines, of course: Why natural language processing is essential today
Huge amounts of text and voice data are generated every day: emails, customer feedback, internal documents, social media. With AI-supported language processing, you can transform this unstructured material into valuable information and thus gain competitive advantages.
Natural language processing (NLP), also known as language processing or computational linguistics, is a branch of artificial intelligence (AI) that deals with the automated analysis, processing and generation of human language.
Especially In the area of business knowledge management, NLP is becoming a game changer today. Companies have countless sources of knowledge, ranging from guidelines and product information to complex tender documents. AI assistants based on NLP can make this knowledge available, automate processes and support employees in everyday life, for example when creating documentation, filling out forms or answering company-specific questions.
Real Results
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique.
Real Results
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique.
This is how companies benefit from natural language processing: Efficiency and improved customer loyalty
- Improved customer communication: AI-powered chatbots, voicebots, and virtual assistants enable quick and accurate answers in natural language.
- Efficient data analysis: Automated text mining and sentiment analysis help extract opinions, trends, and customer feedback from large amounts of data.
- Automatic translation: Overcome language barriers through modern machine translation and multilingual support.
- Document processing: Summarize, classify, extract, review, and supplement relevant content.
- Business knowledge management: Company-wide sources of knowledge are opened up and converted into usable AI assistants — for faster access to information, less search effort and better decisions.
- Process automation: Automatically summarize, classify, and extract relevant content to optimize internal processes.
- Compliance and security: Automatic recognition of sensitive content and assistance in complying with legal requirements.
Your advantage with AMAI
- Tailored solutions: We develop NLP systems that match your data, processes and goals exactly.
- State-of-the-art technologies: Use of the latest language models, adapted to your domain.
- Holistic approach: From data collection and preparation to model training and integration into your systems.
- Practice-oriented & scalable: Quick prototypes, seamless integration, secure and privacy-compliant implementation.
AMAI is your partner for intelligent speech and word processing. Whether it's a pilot project or a scalable platform, we'll help you turn language into real value.
Use cases: Examples of how you can use AI in your company
Our process model: This is how we move your AI initiative forward.
As a pure AI consulting and development company, we focus exclusively on AI projects. Our four-stage process model offers you maximum orientation from strategy to production-ready implementation. You don't have to go through all steps: We start right where you are and reliably bring your AI initiative to the next level.
Before individual use cases are developed and evaluated, we work with you to define your company's overall AI strategy. In doing so, we define goals, fields of action, governance objectives and long-term development directions. This creates clarity, focus and priorities and forms the basis for all next steps, from use case workshops to implementation.
With proven components, proven infrastructure and close coordination with your team, we efficiently put your AI solution into productive use. Real transfer of knowledge is taking place continuously.
✔ No prototype without a plan.
✔ No project has no effect.
✔ No effort without results.
Technologies, terms and trends in natural language processing
Modern NLP systems are based on deep learning and transformer architectures, which are the basis of models such as GPT 5, Claude, LLama 3, DeepSeek or Qwen form. These models understand the contexts, nuances, and ambiguities of human language more precisely than ever before. Core technologies include:
- Tokenization & embeddings: Transformation of texts into machine-readable structures.
- Vector databases: Make it possible to find relevant information through content meaning instead of specific keywords
- Named Entity Recognition (NER): Recognition of names, organizations, locations, technical terms.
- Part-of-speech tagging & syntax analysis: Understanding of grammar and structure.
- Sentiment analysis & opinion mining: Automatic determination of moods.
- Text generation & question-answer systems: From chatbots to automated reports.
- Retrieval Augmented Generation (RAG): Combining large language models with in-house knowledge sources to generate precise and fact-based answers.
- Multimodal NLP: Combining voice with image, video and audio for holistic AI applications.
At AMAI, we develop smart and flexible NLP solutions that not only understand documents and customers, but also make your entire company knowledge accessible. The result: more efficient processes, better decisions and innovative user experiences.
Real Results
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique.
Real Results
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique.
About AMAI: What sets us apart!
We are not a generalist with an AI connection — we are AI specialists with implementation experience. It is precisely this concentration that brings speed, quality and impact to our customers.
AI use case identification & evaluation
AI business cases & roadmaps
Model development & ML engineering
System integration & productive implementation
Productivity, Scaling & Enablement
Explainability & responsible AI
