Artificial Intelligence (AI)

Artificial Intelligence (AI) makes digital products smarter—and we integrate it strategically into your app or web platform. Whether it’s text recognition, image analysis, chatbots, or recommendations: We help you make effective use of the right AI features—technically sound, user-centered, and compliant with data protection regulations. Implementation is carried out using our own models or APIs such as OpenAI, Google Cloud AI, Hugging Face, or custom-built services.

💡 What AI Can Do for Your Project

AI can understand data, recognize patterns, prepare decisions, or generate content. Instead of configuring everything manually, your app learns as it goes—or responds automatically. This saves time, boosts efficiency, and delivers real value to users.

🛠️ How we integrate AI into apps and websites

• Text recognition, natural language processing (NLP), translation, sentiment analysis
• Image recognition, face recognition, barcode/object scanning (e.g., using computer vision)
• Recommendation systems for content, products, or promotions
• Chatbots & intelligent assistants using GPT, Dialogflow, etc.
• Integration via REST/GraphQL APIs, or server-side via Node.js, Python, or Go
• Technical implementation in React Native (Expo), web, backend, or hybrid solutions
• Optional: Integration with your own models or GDPR-compliant hosting solutions

✅ Possible Use Cases

• Intelligent search function with suggestions & ranking
• Natural language chatbot for customer service or onboarding
• Image upload with automatic recognition (e.g., document, product, QR code)
• Translation & localization using AI models
• Predictions for user behavior, trends, or utilization
• Auto-tagging, text analysis, or AI-generated content

❓ FAQs on AI in Apps & Web

Do you build the AI yourselves or use off-the-shelf models? Both are possible. In many projects, we rely on proven models via API, such as those from OpenAI, Google, Microsoft, or Hugging Face. Upon request, however, we can also host or train our own models (e.g., using Python). Does the AI run directly in the app? Generally, no—AI models are too large for a smartphone. Instead, the app communicates with a cloud model or your backend, which processes the data and delivers results. How much does AI cost in my app? Many services operate on a pay-per-use basis. We’ll provide transparent advice on infrastructure, API costs, and fair options—even for smaller budgets. What about data protection? We ensure that all data is processed in compliance with the GDPR—either anonymized, on our own servers, or with certified EU providers.