Overview
AI is not just a buzzword for us — it is an integral part of how we work: In development, we use AI-powered code assistance, automated test generation, and intelligent code review.
As a product feature, we build natural-language query interfaces (RAG), intelligent document analysis, predictive models, and LLM-powered automations.
We deliberately choose between classical ML, pre-trained models, and custom LLM solutions — always driven by the specific task and available data.
Typical use cases
- Natural-language Q&A platforms over enterprise data (RAG)
- Intelligent document analysis and classification
- Generative-AI platforms for brand-compliant content creation
- Predictive models for forecasting, churn, and anomaly detection
- AI-powered quality assurance and automated testing
Technologies
More focus areas
Web Development
Modern web apps, portals and self-service platforms with React, Angular and Vue.js.
Learn more →Mobile Development
Native and cross-platform apps with React Native and Vue.js — one codebase, iOS and Android.
Learn more →BPM & Integration
Business processes and system integration with Red Hat PAM/jBPM and Camunda.
Learn more →