Managing Director | Founder & Research Lead, GRM808–TRUST
GRM808–TRUST
Budapest, Hungary
Founder of GRM808–TRUST, researching TUDOK, a methodology for AI output verification, evidence traceability, uncertainty assessment and human oversight. Seeking international partners for independent validation and responsible industrial AI pilots.
GRM808–TRUST is an intellectual property and research asset management initiative operating through a trust arrangement, dedicated to the protection, responsible development and potential technology transfer of innovative ethical intelligence frameworks and related research. Its core portfolio includes the GRM808 Ethical Intelligence framework and TUDOK, a research methodology focused on AI output verification, evidence integrity, transparency, uncertainty assessment and human oversight. The broader research portfolio includes PFOS (Planetary Forecast Operating System), exploring risk intelligence and early warning methodologies, and CIVIS, addressing human-centred governance, smart cities and sustainable decision support. GRM808–TRUST promotes the responsible application of artificial intelligence in industrial digitalization, climate resilience, water management and institutional decision-making. Our guiding principles emphasize human dignity, ethical accountability, scientific transparency, sustainability and international cooperation. We seek collaboration with universities, research institutions, technology developers, industrial partners and international organizations to support independent scientific validation, practical pilot projects and responsible innovation. Our long-term objective is to contribute to trustworthy, human-centred AI systems that support sustainable industrial development and measurable societal benefits.
I am the founder of GRM808–TRUST and the creator of the GRM808 Ethical Intelligence framework and TUDOK research methodology.
With a background in industrial electronics, information technology and software development, my work focuses on responsible artificial intelligence, evidence-based decision-making, AI governance and human oversight.
My research explores how AI systems can become more transparent, auditable and accountable while protecting human dignity.
I am also developing research concepts for climate resilience, water management and sustainable industrial transformation.
I seek international partnerships with research institutions, technology companies and organizations to independently validate these approaches and develop practical AI applications and pilot projects.
GRM808–TRUST seeks research and industrial partners to independently test TUDOK, an experimental AI-output evaluation method addressing evidence integrity, uncertainty and human oversight through reproducible benchmarks and pilot studies.
Research
Technical
Project phase
Explainable AI
Decision Management
Text Analytics & NLP (Natural Language Processing)