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Our Vision
We turn powerful ideas into intelligent, high-performance software.From concept to code, we develop tailored web, mobile, and desktop solutions with connections to cutting-edge LLMs like OpenAI GPT and Claude, that not only help businesses grow but also connect them with artificial intelligence and make them stand out.
Services & Technologies
Learn more Our expertise spans a wide range of cutting-edge technologies and platforms to deliver tailored solutions that meet the specific requirements of our clients.A Look at Our Work
Learn moreCoontent
Coontent is an innovative all-in-one platform for social media management that helps agencies and businesses efficiently create content using AI and publish it directly across various channels. The application combines an intuitive user interface with powerful features to simplify the entire content creation and publishing process - from ideation to automated publishing. Coontent saves time, boosts creativity, and enables teams to design their social media presence professionally and consistently - all in one place.
Features- 🧭 Intuitive user interface
- 🤝 Real-time collaboration
- 🤖 Automatic content generation with AI
- 💡 Ideation and brainstorming with AI
- 📤 Automated post publishing
- 🔗 Integrations with major social networks
- 🗂️ Customer management for marketing agencies
- ✅ Approval workflows for end clients
- 📈 100% scalable for any use case

Research
This thesis presents the development of a voice assistant that enables intuitive, hands-free control of car seats through natural language. Developed in collaboration with Tratter S.R.L. for BMW, the system utilizes advanced AI models - including OpenAI's Whisper and GPT - to interpret complex voice commands and convert them into precise seat adjustments. The assistant enhances driver safety and comfort by minimizing distractions and is designed with a modular architecture that ensures flexibility and scalability. The innovations in speech recognition and language understanding also offer potential for applications beyond the automotive industry.
Read moreThis work presents a fully automated framework for software performance testing that utilizes agentic AI and large language models. A desktop application was developed that autonomously generates, executes, and analyzes performance tests by employing LangGraph agents, MCP servers, and the PPTAM framework. The system integrates with existing project artifacts such as codebases, GitHub issues, and API documentation to design realistic test scenarios and deliver actionable performance insights. Tested on real microservice applications, the tool demonstrated high accuracy, scalability, and minimal need for human intervention, offering a novel approach to performance testing in modern software development.
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