Discover
Unleashing the Power of AI for Business Growth


Our Journey
Achieving successful cooperation
The AI product lifecycle is iterative. Use feedback and performance metrics to revisit earlier stages and refine the solution as needed.
Discover
Define the problem the AI product will solve clearly. Not every business challenge requires an AI-based solution.
Validate
Collect relevant information about the problem, data, and architecture, and validate proposed ideas. Apply the Pareto principle and outline both optimistic and pessimistic scenario concepts.
Prototype
A preliminary product version has been developed to test and validate functionality and feasibility. While not fully complete, it effectively demonstrates the core concept and potential.
MVP Build
Develop a version of the product with essential features for early users, enabling practical use and valuable feedback to guide future development.
Scale
Integrate the product for a pilot launch, delivering a comprehensive solution that meets the target audience’s needs and provides value to both the business and end users.
Team
Michal Pleva
AI, Architecture, Data ScienceFounder, 15+ yrs specialising in scalable machine learning, cloud architecture, and turning enterprise-grade data into production-ready systems that deliver real business value (not just nice dashboards), mostly in telco & IoT.
Niek Mereu
AI, Data Science, Software DevelopmentAI Engineer, 10+ yrs building smart AI systems that actually make it to production – from RAG chatbots and recommendation engines to audio ML and time-series models (and occasionally teaches machines to understand music).
Peter Valkovic
AI, Data EngineerData Engineer, 10+ yrs turning raw data into reliable insights across banking, mining, and enterprise environments.
Built clean pipelines, solid reporting, and data systems teams that can actually be trusted.
Jan Mikulas
AI, DevOps, Software DevelopmentSoftware Engineer, 15+ yrs in full-stack & cloud architecture (AWS, Azure, Terraform). Loves modern stack and turns complex systems into reliable production environments (with minimal drama) in telco, fintech & IoT.
