Where AI will help your business
Process automation
Repetitive manual tasks – document processing, email sorting, data evaluation – can be handled faster and error-free. Your employees can focus on work with higher added value.
Generative AI and language models
Large Language Models (LLMs) allow you to automatically generate texts, answer customer questions, summarize documents, or create code. We integrate them directly into your systems and applications.
Machine learning and prediction
We will teach models to recognize patterns in your data – predict demand, detect anomalies in production or estimate the risk of machine failure.
AI assistants and chatbots
We develop intelligent chatbots and AI assistants connected to your internal systems, documentation or customer data. They answer accurately and in the context of your business.
View realized projects
Every AI solution starts with analysis – we look for places where artificial intelligence will deliver real value and where investment will return. Only then do we propose a concrete solution.
The technologies we use
Azure AI & Microsoft
Open-source & Frameworks
AI in production and digitization of processes
AI is also used in the production environment – from predictive machine maintenance to optimization of production schedules to computer vision for quality control.
- Predictive maintenance – AI predicts machine failure before it occurs.
- Production plan optimization with AI (OptiTRAQ).
- Scrap detection and quality control with computer vision.
- AI assistant for operators in production.
Experience and data security first
We have experience in custom software development as well as in the implementation of AI in real business processes. We don't design AI for AI's sake – we're always looking for a specific business benefit.
Let's talk about your idea
FAQs about AI solutions
Do we need to have a lot of data to use AI?
Not always. It depends on the type of AI solution. You don't need your own data to integrate large language models (LLMs) like GPT or Claude – the models are already trained. For custom ML models (prediction, anomaly detection), historical data is needed, but we will help you assess whether you have enough of it.
How long does it take to develop an AI solution?
Simpler AI integrations (chatbot, document automation) can be delivered in 4-8 weeks. More complex ML models or AI platforms require 3-6 months. We always start a proof of concept so that you can see the results as soon as possible.
Is the AI solution safe in terms of data protection?
Yes, we design AI solutions in accordance with GDPR. If you work with sensitive data, we offer to deploy AI models on your own infrastructure or in a private cloud without sharing data with external providers.