Relevance
Shows how important the problem addressed by the project is today. The audience evaluates whether the project comes from a real need, fits current challenges and matters for the country, market and society.
Public benefit
Measures the positive impact the project creates for people, organizations, public services, business or the wider ecosystem. A high score shows that the solution is not only technically interesting, but also creates real value.
Clarity
Evaluates how simply, clearly and transparently the project is presented. The audience should clearly understand what the AI solution does, whom it helps and what result it creates.
Innovation
Measures whether the solution stands out through a new approach, different product logic, a unique field of application or a more effective way to solve an existing problem.
AI depth
Evaluates whether artificial intelligence is not a decorative feature, but the core value-creating component. Model choice, data use, automation level and AI’s role in decision-making are considered.
Application potential
Shows the solution’s usability in a real environment, its ability to integrate into market or institutional processes, scalability potential and the level of implementation barriers.
Real impact
Evaluates measurable results the project has already created or can reasonably create: user numbers, savings, revenue, productivity growth, social value and other concrete indicators.
Team and execution
Measures the team’s capability, experience, speed, quality of submitted materials and ability to implement the project. A strong idea becomes valuable only through strong execution.
Relevance
Experts evaluate the project’s fit with the strategic agenda, country and market needs and AI ecosystem development priorities.
Public benefit
Measures how the project’s benefit extends beyond individual users to society, a sector, the economy or public services.
Clarity
The solution’s message, explanation, user value and result logic must be clear and verifiable even at expert level.
Innovation
Evaluates how new the solution is in the local and regional context and whether it creates a distinctive market advantage.
AI depth
Analyzes the technical depth of the AI component, data processing logic, model and algorithm choice, automation and learning potential.
Application potential
Measures the project’s ability to move from pilot to real deployment, and from real deployment to wider use, including integration and operational resilience.
Real impact
Experts consider measurable results, evidence, user and market reaction, and economic and social impact.
Team and execution
Evaluates the team’s ability to develop the project sustainably, work with partners, manage resources and deliver results.
Technical implementation
Architecture, data security, performance, integration, product stability, demo or working prototype quality are evaluated. This criterion shows the level at which the idea has become a real technical product.
Ethical fit and risk management
Measures responsible use of the AI solution, transparency, bias risks, privacy, security and how the risk of misuse is managed. This criterion protects the reputation of the award and the long-term reliability of the project.