AI agents
Agents that complete real administrative tasks, not demos. Grounded in the workflows of universities and municipalities.
Research
Q13 does research the same way it does products: connected to systems people actually use. Every research question here comes from something running in production, and the results go back into it.
Agents that complete real administrative tasks, not demos. Grounded in the workflows of universities and municipalities.
Retrieval-augmented generation over institutional knowledge: structure, evaluation and reliability in production.
How to run AI on public sector data without leaking it. Deployment models, access control and auditability.
Making university-issued certificates independently verifiable, with a production microcredentials platform as the testbed.
Next on the list: a digital twin of the university. We want campus data, systems and space modeled in one place, and we are actively looking for partners to build it with.
Most research validates on synthetic benchmarks. Ours validates on thousands of real users.
Ivo Písařovic, David Procházka, Jaromír Landa, Andrej Gono
PEFnet 2025: 29th European Scientific Conference of Doctoral Students
AR-based step-by-step guidance system for iOS that overlays instructions onto the physical world to assist users with no prior experience in maintenance tasks. Evaluated against video-based and manual-based instruction methods.
David Procházka, Martin Záklasník, Andrej Gono, Oldřich Faldík, Radim Farana, Oldřich Trenz
PEFnet 2025: 29th European Scientific Conference of Doctoral Students
Case study of a certificates platform that combines AI-assisted processing with blockchain-backed verification. Shows how the two technologies complement each other: AI handles classification and extraction, blockchain provides the tamper-proof audit trail.
Andrej Gono, František Dařena, David Procházka
IEEE Access
A novel DID method for scientific IoT devices anchored on the Bloxberg blockchain. Enables cryptographically verifiable provenance for data produced by distributed research instruments, addressing reproducibility concerns in data-intensive science.
Martin Záklasník, Veronika Konečná, Oldřich Faldík, Oldřich Trenz, Andrej Gono
27th Annual International Conference Economic Competitiveness and Sustainability 2025
A working system for issuing and verifying university micro-credentials on the Bloxberg blockchain. Uses a REST API backend and React frontend with Proof of Authority consensus to make certificates independently verifiable without contacting the issuing institution.
Andrej Gono
PEFnet 2025: 29th European Scientific Conference of Doctoral Students
A structured framework for building retrieval-augmented generation AI agents that meet the trustworthiness requirements of public sector applications. Covers evaluation methodology, guardrails, and the specific constraints of government and municipal deployments.
Andrej Gono
PEFnet 2024: 28th European Scientific Conference of Doctoral Students
Proposal and evaluation of a new W3C DID method for IoT devices in research environments, anchored on the Bloxberg academic blockchain. Addresses the lack of a purpose-built decentralized identity solution for scientific instrumentation.
Andrej Gono, Ivo Písařovic, Martin Zejda, Jaromír Landa, David Procházka
European Journal of Business Science and Technology, vol. 10, no. 2, pp. 225–241
Blockchain-based access control for smart home IoT devices. Addresses the core tension between security and usability by integrating blockchain into device access management without introducing friction for everyday users.
Martin Záklasník, Veronika Konečná, Oldřich Faldík, Oldřich Trenz, Andrej Gono
26th Annual International Conference Economic Competitiveness and Sustainability 2024
Analysis of how decentralized blockchain storage can address the security and availability weaknesses of centralized micro-credential systems. Proposes a framework for certificate management that eliminates single points of failure and unauthorized access risks.
Andrej Gono, David Procházka, Tomáš Šmerda
PEFnet 2023: 27th European Scientific Conference of Doctoral Students
Side-by-side evaluation of iOS and Android as platforms for AR-based instruction manuals. Compares ARKit and ARCore across tracking quality, scene understanding, developer tooling, and deployment constraints relevant to enterprise maintenance applications.
Andrej Gono
Mendel University in Brno
Analysis of blockchain as a data verification and authenticity layer for metaverse platforms. Examines the provenance, ownership, and integrity challenges that arise when physical and virtual worlds share data, and evaluates blockchain-based solutions to each.
Joint grant projects, national and EU. Pilots in the living lab. Co-authored research on systems with real users. If that sounds like your kind of research, talk to us.
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