Targeted AI solutions across key industries including healthcare, automotive, finance and retail
Custom solutions that comply with relevant regulations and meet international standards
End-to-end AI integration services from strategy, governance to execution across cloud, data and automation
Innovative solutions such as IntelliAssistant and Intellias Digital Twin maximizing productivity across all operations
Head of AI
Hana is a data scientist with a decade of experience in the field and an AI/ML expert. At Intellias, she has developed the AI/ML practice into a separate, robust domain and a core offering. Her expertise lies in not only orchestrating and motivating teams but also in shaping forward-thinking growth strategies for businesses implementing AI/ML worldwide. Under Hana’s leadership, the AI/ML practice at Intellias continues to grow, now including GenAI offerings and a responsible AI practice which she recently launched.
With a solid mathematical background, Hana has spent her career focusing on predictive analytics and machine learning, helping clients in healthcare, energy and insurance. She holds a Master’s in Applied Mathematics from the University of Rijeka in Croatia.
Head of AI/ML Practice
Gregorio is an experienced data specialist with more than a decade of experience in data architecture, AI/ML and cloud solutions. A leader in creating data-driven SaaS offerings, he combines technical acumen with strong leadership of high-performing data analytics teams.
Gregorio has championed data-centric initiatives in multiple industries while keeping an eye out for opportunities to adopt AI. He has shaped AI/ML and data science strategies for Akamai Technologies, ArcelorMittal, ABB and GE Healthcare, in addition to holding several positions in academia.
As a recipient of the Marie Curie fellowship, Gregorio dedicated four years to in-depth research of strategies for monitoring industrial conditions. He holds a PhD in advanced signal processing/ML from the Cracow University of Technology in Poland.
AI/ML Practice Engagement Manager
А research engineer with almost a decade of experience, Atina specializes in deep learning and data science. At Intellias, she continually explores innovative ways to apply AI and machine learning solutions to business challenges, working on international and interdisciplinary projects.
Her expertise includes developing deep learning algorithms for face detection and recognition, as well as leading projects on lightweight neural networks, data annotation and proof-of-concept development. She holds a Master of Science in Computer Science and Mathematics from the University of Zagreb.
Intellias’ generative AI services help businesses transform vast data into actionable intelligence. Our engineers design generative AI solutions that, due to their precision, speed, and scalability, ensure measurable productivity gains and ROI. We help you automate complex workflows, creating unique customer and employee experiences. Whether you need AI-powered customer service automation or intelligent supply chain management, our generative AI technology services enable smarter operations with secure innovation.
We seamlessly connect generative AI with enterprise platforms like commerce, PIM, DAM, CMS, ERP, CRM, DMS, HRM, and other systems to ensure smooth adoption and maximum efficiency. Our integration process includes system compatibility analysis, API-based connectivity, and workflow automation to enhance operational performance without disrupting existing processes.
Intellias provides a structured generative AI implementation service that begins with a two-week readiness evaluation. This assessment determines your current AI maturity, identifies high-impact opportunities, and aligns AI initiatives with your strategic goals. Our team delivers a feasibility report, a prioritized roadmap for gen AI services adoption, and a cost-benefit analysis, ensuring your AI journey is well-planned and value-driven.
Security and compliance are at the core of our generative AI technology offerings. Through our GUARDIAN framework, we establish ethical AI guidelines, conduct compliance audits, and implement access controls to protect sensitive data. Our risk management strategies help businesses navigate data privacy laws and industry regulations, ensuring safe and responsible AI deployment.
Yes. Our generative AI services are built for scalability, ensuring that AI models grow alongside your business. We design AI models and architectures that adapt to growing data volumes, evolving business needs, and expanding operational demands. With ongoing MLOps support, continuous model optimization, and governance frameworks, we ensure AI solutions remain agile, resilient, and future-proof.
One of the industry narratives is “data readiness for AI”. However, this is often stated without explicitly saying what makes data “ready” or “not ready”. Provide some detail on what makes data “ready” and how Intellias can help if it is not yet ready.