We design, implement and optimize AI/ML strategies that solve real-world problems and yield measurable results. Whether it’s improving your products with artificial intelligence services or speeding up operations with machine learning models, we deliver well-grounded strategies, ready-to-deploy technologies and applications that drive results.
Our frameworks and accelerators allow us to bring AI and ML solutions to your specific industry faster and more affordably. And because we build everything with ethics and security in mind, you can be confident your AI solutions will stand the test of time.
We assess your company’s AI readiness and suggest the best strategies for AI adoption, implementation or optimization for the greatest return on investment (ROI).
We map your actual challenges and business context to practical AI solutions, providing AI consulting services, implementation and ongoing operations with a focus on security and governance. Everything we do begins with the user thanks to a combination of design thinking, in-depth user research, domain expertise and iterative development.
Get expert guidance, an AI application feasibility study, design thinking workshops and personalized trainings that fit specific business cases.
Evaluate your organizational readiness and technological capabilities as well as strategic roadmaps for adopting and scaling AI-driven solutions.
Engage in ethical AI development thanks to technical support, regulatory compliance, and the creation of governance frameworks that prioritize transparency, accountability and fairness.
Build responsible AI practices through effective policy design and resilient governance mechanisms that integrate ethical principles with technological growth.
Transform data into intelligent solutions across computer vision, recommendation systems, predictive analytics, natural language processing and generative AI technologies.
Use AI algorithms to synthesize human-like engagement, produce dynamic content and automate the integration of innovative technological solutions.
Strategically implement AI models directly on devices, expertly balancing performance, cost and efficiency to deliver intelligent computing in real time.
Incorporate ML models into production environments and integrate with existing IT systems to apply technological innovation for smoother and faster operations.
Get assistance with end-to-end AI system management that ensures reliability, scalability and continuous improvement, allowing you to focus on your core business objectives while using the newest tech.
We are honored to have won multiple awards for our AI projects. Intellias has also been
recognized by Gartner in its Tool Guide to Service Providers for GenAI Initiatives.
We want to spotlight Intellias with the ‘Best Chatbot Platform’ award… IntelliAssistant provides cost and time savings, increased efficiency, data insights, streamlined operations, and improved customer experiences.
Steve Johansson
Managing Director, AI Breakthrough
Our I.D.E.A. Framework (Innovate, Design, Execute, Adapt) powers enterprise AI/ML transformation by aligning your business strategy with the best-fitting AI approach.
Validate how artificial intelligence services and solutions can solve real business problems by matching technology opportunities with company goals and adoption readiness.
Synthesize complex problems into architectural designs using AI solution blueprints to perform iterative prototyping and evaluate technical feasibility.
Implement scalable AI/ML solutions using flexible approaches and the right tools while establishing performance monitoring and governance mechanisms across all of your systems.
Evolve your AI solutions with a focus on continuous model refinement, cross-functional upskilling and making AI responsible in all its dimensions.
At Intellias, we don’t just talk about sustainability — we make it happen. Our AI-driven solutions turn good intentions into measurable impact. We help businesses implement Environmental, Social and Governance (ESG) strategies that deliver results, not just promises.
From fleet management to cost reduction, we use machine-powered intelligence to strengthen operations across industries. Our tools provide real-time emissions tracking, helping businesses monitor their environmental footprint and make smarter, more informed decisions.
Our predictive analytics solutions and dynamic visualizations bring clarity to sustainability performance. By integrating data from various sources, we fortify governance and compliance, making sure ESG goals are not just achieved but exceeded.
With AI automating data collection and reporting, our clients can generate accurate reports faster. This allows teams to focus on their strategy rather than being bogged down in administrative tasks.
As ESG standards change, we help our clients synchronize requirements with core business objectives, ensuring adaptive compliance. Our data science expertise in developing robust ESG data strategies allows us to ensure long-term sustainability, keeping businesses compliant and anticipating future shifts.
Our approach is laser-focused: We use real technology to solve actual problems. Our proprietary IntelliAssistant and IntelliCopilot AI workplace tools transform how teams operate, cutting through complexity and overcoming everyday obstacles for greater productivity.
We make sure that our clients benefit from innovation by adopting new strategies and collaborating with leading technology providers.
Hana Rizvić
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.
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 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.
Vedrana Vidulin
Head of the Responsible AI Unit
Vedrana has more than 15 years of experience in data science and machine learning and holds a PhD in Artificial Intelligence from the Jozef Stefan Institute in Slovenia. At Intellias, she transforms complex data ecosystems into practical solutions for companies worldwide using machine learning, predictive modeling and data visualization. She is also the Head of Responsible AI, ensuring that AI is used in a trustworthy, safe and responsible manner.
As an academic and a data science researcher, Vedrana has particularly deep knowledge of AI/ML that places her in a unique position to formulate ethical AI policies and implement them across the organization. Through mentorship and thought leadership, she helps teams bridge the technical side of AI/ML with the company’s strategic vision, turning data into a powerful business asset for empirical decision-making.
Atina Koljevina
Head of the AI/ML Center of Excellence Unit
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.
Innovation is intentional. Artificial intelligence services and solutions make it possible
