Mauricio Licul
QUIRK, ceo
Pula, Croatia
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Mauricio Licul (1979) is the Chief Executive Officer (CEO) of the technology company Quirk d.o.o. based in Pula, and the Head of Research and Development (R&D) at Novatec New Technologies headquartered in Labin, Croatia.
Licul has deep engineering, political, and data-science experience, uniquely combining artificial intelligence (AI), natural language processing (NLP), and media analytics. As a former political figure and prominent candidate for mayor of Pula, he possesses an intuitive, firsthand understanding of public communication, public sentiment, and media dynamics. By merging this practical political background with cutting-edge data technologies, he has specialized in extracting actionable insights and deep strategic metrics from vast streams of media data and public text.
He is the founder of DataFlip, an innovative venture focused on high-level NLP solutions. Licul has publicly presented the capabilities of his proprietary technology at major ICT events, such as the regional Let's Grow! conference in Pula, where he delivered a breakthrough session titled "How to recognize emotions in 10 TB of text" . Within DataFlip, Licul spearheaded the development of proprietary, in-house artificial intelligence models that combine machine learning, deep learning, and semantic analysis to detect and classify highly subtle emotional structures within massive, large-scale textual datasets.
Expanding on this foundation, Licul and his team at Quirk are currently developing even more advanced, next-generation models for semantic analysis, deep emotional interpretation, and complex text classification. A key competitive advantage and core differentiator of Quirk's models compared to foreign or mainstream big-tech solutions is their total infrastructure autonomy. By constructing the entire text-mining and semantic architecture completely from scratch without relying on external, third-party APIs, their models eliminate data-leakage risks, ensure total data privacy, and deliver significantly higher contextual accuracy tailored to regional linguistic nuances, complex idioms, and specific text data streams.
In his role at Novatec New Technologies, Licul oversees innovation and advanced technical ventures. Notably, he successfully led the IRI2 project "MUNIVO"—an innovative, low-floor electric vehicle developed in tight cooperation with the Faculty of Mechanical Engineering and Naval Architecture (FSB) and the Faculty of Electrical Engineering and Computing (FER) in Zagreb, resulting in two fully functional prototypes. His broad knowledge base spans industrial automation, software development, deep learning, semantic text analysis, predictive analytics, and smart urban mobility.
Licul graduated with a degree in Electrical Engineering from the prestigious University of Padua (Università degli Studi di Padova) in Italy and earned his PhD (Doctorate) from the University of Trieste. He remains a prominent thought leader and speaker in the regional and national tech ecosystem, frequently participating in panels and lecturing on AI regulations, machine learning, and advanced data architecture.
Area of Expertise
Topics
Next-Gen NLP: Turning Text Data into Political Strategy
(Decoding Public Emotion with Absolute Privacy and Zero-API Architecture.)How do you extract actionable strategy from millions of public comments, articles, and social media posts? In this session, Mauricio Licul demonstrates how Quirk's proprietary, in-house AI and NLP models transform massive textual datasets into deep competitive advantages.Attendees will discover the full capability of autonomous text processing:Deep Emotion Detection: Uncovering hidden emotion, sentiment, tone, and public nuance.Semantic Classification: Structuring complex public narratives and text streams.Sub-Narrative Emotion Mapping: Advanced NLP feature that bypasses overall text bias to extract and map specific emotions directly to individual keywords and hidden sub-narratives.Granular Keyword Extraction: Isolates critical terms even within highly positive or skewed text.Targeted Affective Mapping: Assigns specific emotions directly to individual words of interest.Narrative-Level Sentiment: Connects isolated emotional cues to the broader overarching narrative.Custom Language Adaptation: Tailors and optimizes the underlying models to accurately process any global language or localized dialect.The session will highlight how this tech reshapes future advanced political campaigns. By merging firsthand political expertise with sovereign AI architecture, these models enable real-time public emotion, context, and pattern tracking. Crucially, the entire system can be seamlessly customized to work in any language, ensuring immediate global deployment. Furthermore, because the architecture is built entirely from scratch without relying on external APIs, it guarantees maximum processing speed and absolute data privacy—a mandatory standard for modern political and corporate operations.
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