From the early Eliza chatbot to modern generative AI solutions, what was once a technological curiosity is now a boardroom priority. We help our clients adopt and adapt generative AI (gen AI) capabilities to make work smarter .
Our generative AI services turn vast data into focused intelligence, automate complex workflows and build differentiated experiences for your employees and customers. We don’t just deploy AI— we place generative AI where it’s most effective, delivering productivity gains, ROI, and secure, scalable innovation.
We approach AI by helping you transition from isolated use cases to operational generative AI solutions. Together, we analyze how and IF generative AI can improve your business processes. Then, we create a flexible roadmap that allows for gradual improvements and lays a solid data foundation for different AI models. With this, you can adapt and turn AI technology capabilities into real-life applications.
Generative AI readiness evaluation
The GUARDIAN framework provides a structured approach for the responsible integration of generative AI technologies, addressing the entire lifecycle from design to deployment and scaling. Our goal is to transform AI into a controlled, high-performance business asset while ensuring ethical standards and regulatory compliance.
We establish clear rules that prioritize fairness, transparency and human oversight in AI development, helping clients protect individual rights and ensure accountability.
We identify data privacy issues, compliance challenges and operational risks, combining technical assessments with insights into human impact and alignment with organizational values.
We implement detailed permission control measures to protect sensitive information in generative AI applications, ensuring that only authorized personnel can access critical data.
We practice continuous oversight and audits of AI systems to identify and address emerging risks effectively, supporting ethical management across the company.
We establish responsibility matrices across projects and evaluate AI systems for human impact, fairness and safety to reduce risks and promote sustainable governance practices
We prioritize transparency in AI decision processes, clearly explaining how gen AI systems reach conclusions, so that only reliable outputs are used for accountable business actions.
We offer training programs that help teams understand generative AI’s functionality and ethical implications, fostering realistic expectations for further responsible engagement.
We provide resources to help businesses conform to AI regulations, align operations with industry standards and confidently build on their AI strategies while avoiding costly missteps.
We deliver generative AI as a service that marries industry-specific perspectives, custom-fit technical tools, a powerful partner network and responsible design principles.
Targeted AI solutions across key industries like healthcare, automotive, finance, retail and others
Custom solutions that comply with regional 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 IntelliCopilot, IntelliAssistant and IntelliTwin maximize productivity across healthcare, mobility, retail and financial services.
22 years
industry experience
14
global locations
3,000
experts
100+
proprietary assets
Hana Rizvić
Head of AI
Hana is a data scientist and the AI/ML leader with a decade of experience in the field. At Intellias, she 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. Hana’s practice continues to grow and now includes a number of GenAI offerings. Most recently, she launched the responsible AI practice within Intellias.
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With a solid mathematical background, she 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.
Gregorio Ferreira
Head of MLOps
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 the 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.
Vedrana Vidulin
Head of the Responsible AI Unit
Vedrana has more than 15 years of experience in data science and machine learning. At Intellias, she transforms complex data ecosystems into practical solutions for companies worldwide using machine learning, predictive modeling and data visualization. As the Head of Responsible AI, Vedrana ensures that the use of AI is trustworthy, safe and responsible.
As an academic and a data science researcher, Vedrana has a particularly deep knowledge of AI/ML that places her in a unique position to formulate ethical AI policies and implement them across the organization. As a mentor and thought leader, she helps teams bridge the technical side with the company’s strategic vision, turning data into a powerful business asset for empirical decisions.
Vedrana holds a PhD in Artificial Intelligence from the Jozef Stefan Institute (Slovenia).
Atina Koljevina
Head of the AI/ML Center of Excellence Unit
Atina is an innovator with a knack for turning business challenges into AI and machine learning-driven solutions. A keen technologist, she is always on the lookout for new ways to apply digital solutions to real-world issues. Her expertise lies in pushing the boundaries of AI technology, with a focus on projects ranging from face detection to generative AI image synthesis, computational photography, and computer vision.
In her current role, Atina serves as the driving force behind prototyping, developing, and integrating cutting-edge imaging and computer vision technologies. Her experience in crafting advanced machine learning solutions fuels innovation and efficiency, allowing her to tackle complex, open-ended problems from building extensive technology-propped digital products to developing state-of-the-art recommendation systems.
Looking for clarity, strategy, and hands-on delivery? Our experts are ready to help you get results. Whether you’re planning your next big initiative or looking for a trusted tech partner, we’re here to help you move forward with confidence.
