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From seamless data management to model deployment
for strategic insights and informed decision-making
We model, process, transform, and enrich data with precision and expertise
Efficient database management is the cornerstone of effective data engineering. We design, manage, migrate & optimize databases to ensure your data provides actionable insights.
Our approach emphasizes accessibility, accuracy, and security in designing a scalable, high-performance data architecture that aligns with your business strategies.
We develop automated and efficient data pipelines that support data transformation and fast integration, whether in the cloud or on-premise.
We extract, transform, and load (ETL) data from diverse sources, improving data quality and integrity while enhancing the efficiency of your business.
With the use of cloud platforms for enhanced data storage, processing & analytics capabilities, we ensure scalability, simplified maintenance, and cost-effective data management.
We optimize and deploy ML models, ensuring they integrate seamlessly into your production environment, with continuous monitoring and support for practical data-driven decisions.
Maximize your business potential with our customized
Data Engineering and Machine Learning solutions
Leverage data for informed and strategic decisions, boosting overall business performance & growth
Increase efficiency with business workflow automation, reducing manual tasks and improving internal processes
Lead with data to improve customer experience and loyalty and outpace competitors with actionable insights
Drive innovation through data insights, uncovering trends & patterns to enhance your products and services
Scale your current workload with advanced distributed databases
Quickly respond to opportunities and promptly address potential issues with real-time data access
We’re dedicated to providing top-notch support throughout
your entire big data journey
The first step is to explore and understand your business needs, existing systems, and data requirements
Together, we define objectives and design a data strategy tailored to your business goals and challenges
Our implementation process follows agile methodology, ensuring the efficient development of data systems that can adapt to evolving needs and changes
After testing the system, we deploy it to the production environment. Continuous monitoring allows us to identify inconsistencies early, ensuring reliability
We provide ongoing maintenance and support, ensuring data processes remain efficient, reliable, and adaptable to changes
What teams around the world say about working with us
Velebit AI has developed our whole data engineering infrastructure and deployed the AI models needed on a large scale for our classified ads business. The team excels at timeline and budget management, and they offer great communication. Velebit AI’s accuracy is impressive; they deliver what they promise.
Igor Sobota, CEO @ Njuškalo
Photomath worked with Velebit AI to support our computer vision domain, and they provided us with a lot of value along the way. Professional, deep technical knowledge, innovative solutions, always available to answer any questions, and ultimately delivered strong results on time. It was a pleasure to work with their team.
Marko Velić, Director of Engineering @ Photomath (now Google)
I was impressed by how enthusiastic Velebit AI was about data science. They read scientific papers because they were so eager to learn. I’d recommend them for any advanced task related to NLP, deep learning, and similar data science models and AI in general.
Ana Meštrović, Professor @ University of Rijeka
The workflow between our team and Velebit AI was seamless. The code quality, application performance and documentation were all excellent. There are many options on the market, but Velebit AI truly has immense experience and expertise in machine learning and AI.
Akshay Goel, Founder & CEO @ RADlearn.aiMaximize your business potential with our customized
Data Engineering and Machine Learning solutions
With 10+ years of expertise in AI, Machine Learning, Data Science, and Data Engineering
We execute AI from concept to model development and deployment
Flexible and adaptable collaboration tailored to your project needs and goals
Committed to staying current with the latest research advancements
Advanced AI expertise to assist you in gaining a competitive edge
We provide long-term support as committed partners even after project completion
Data & ML Engineering provides the infrastructure that powers reliable AI systems. It includes designing data architectures, building data pipelines, managing databases, implementing ETL processes, and deploying machine learning models into production. While Custom AI focuses on developing intelligent applications, Data & ML Engineering ensures the data and infrastructure behind those applications are scalable, reliable, and production-ready.
If your business relies on large volumes of data, multiple data sources, or machine learning models, Data & ML Engineering helps ensure your data is accurate, accessible, and ready for AI. It’s often needed before developing AI solutions, modernizing legacy systems, scaling analytics, or deploying machine learning into production.
We provide end-to-end Data & ML Engineering services, including database design and optimization, data architecture, ETL development, automated data pipelines, cloud data platforms, machine learning infrastructure, and ML model deployment. Every solution is designed to improve data quality, scalability, and the reliability of AI systems.
Yes. We work with your existing databases, cloud platforms, APIs, data warehouses, and business systems. Whether you’re modernizing legacy infrastructure or expanding an existing platform, we design solutions that integrate with your current environment rather than replacing it unnecessarily.
High quality data is the foundation of every successful AI system. We design scalable data architectures, implement automated validation and transformation processes, optimize databases, and build reliable data pipelines that ensure consistent, accurate data for analytics and machine learning.
Yes. We provide ongoing maintenance and support after deployment, ensuring data processes and deployed models stay efficient, reliable and adaptable as your requirements change.
