GOING BEYOND THE HYPE
At AI Research & Forecasting, we take a holistic view of AI. Many people focus on isolated technical problems — we look at the bigger picture.
Our edge is methodological creativity and a truly multidisciplinary approach. We combine social science, data, and business perspectives to understand not just how AI works, but how it shapes — and is shaped by — society.
We use validated forecasting models, because insight without validation is just opinion. By understanding both the technology and the key stakeholders around it, we deliver grounded, realistic foresight in a rapidly changing AI landscape.


FOCUS
We deliver integrated analyses that connect strategy, technology, and real-world execution.
We analyze concrete company use cases, business relevance, and underlying business models, not just the technology itself.
We clarify what AI actually requires: infrastructure, development capacity, and organizational readiness.
We focus on how AI can be realistically integrated into people’s lives and corporate environments.
FOCUS
We deliver integrated analyses that connect strategy, technology, and real-world execution.
We analyze concrete company use cases, business relevance, and underlying business models, not just the technology itself.
We clarify what AI actually requires: infrastructure, development capacity, and organizational readiness.
We focus on how AI can be realistically integrated into people’s lives and corporate environments.

INSIGHT & IMPLEMENTATION
Strategic Framing: Clarify business goals, constraints, stakeholders, and social impact.
Opportunity & Risk Mapping: Identify use cases, business relevance, and technological, operational, and societal risks.
Feasibility & Infrastructure: Assess data, infrastructure, development capacity, and organizational readiness.
Strategy Design: Turn insights into a practical AI strategy, set priorities, and highlight where AI can create lasting value.
Validation & Forecasting: Stress-test assumptions, forecast outcomes, and anticipate future operational and societal risks.
Integration & Roadmap: Create a realistic plan to embed AI into workflows and corporate environments effectively.
EXPERIENCES

20+ YEARS IN RESEARCH
Over 20 years of experience in quantitative and qualitative analysis, data science, social research, and market and strategic research, with strong expertise in both business and scientific domains.

HOLISTIC APPROACH
We take a holistic, multidisciplinary approach, exploring technological, societal, philosophical, and practical aspects — with deep experience working in diverse teams across IT, business, scientific, and social contexts.

Right questions
We leverage our experience across data, social, and business research to ask the right questions — the ones that really uncover opportunities and risks.

strategical thinking
With hands-on experience across multinationals, startups, public sector, education, and scientific institutions, we understand what strategies succeed and fail — guiding us to evaluate use cases and business models effectively.

VALIDATION & FORECASTING
Extensive experience in building and validating forecasting models, stress-testing assumptions, and anticipating future technological and societal risks.

Practical Implementation
Proven experience in moving from analysis to execution, helping organizations apply AI in ways that are practical, scalable, and aligned with real operational needs.
ABOUT

Rozina Gonczo
Rozina comes from 12+ years in digital strategy and research, with a background that stretches from corporate and tech to human-centered work. She keeps us honest about the real-world side of AI — the societal, philosophical, and human dimensions that often get overlooked.

VIKTOR GONCZO
Viktor has 20+ years in research, spanning academia and business. He specializes in data science, forecasting, and validation, and has built predictive models across industries ranging from tech to social sciences. He's the person who makes sure the numbers actually mean something.
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