Data science and AI

Innovative. Intuitive. Business-centered. Supercharge your business outcomes with our end-to-end data science, artificial intelligence, and machine learning solutions. We have the brains and the passion to build the next generation of cutting-edge digital solutions.

Show us your dream – we will build it for you.

Strength in numbers

16 +
Years in the market
750 +
Expert software engineers
1500 +
Projects launched
200 +
Clients trusting us

Drive success with data and AI

Unlock new opportunities for your business by combining data and artificial intelligence. Our data science experts use statistical methods and machine learning algorithms to analyze data and create predictive models.

The result? An opportunity to collect, manage, and analyze data flows from multiple sources to gain business-relevant insights.

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What we have done for our customers

Our work

We’re here to address your trickiest problems and transform them into elegant solutions.

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Which business model suits you?

Different budgets, deadlines, challenges, and requirements. There is no one-size-fits-all approach to software development. To match your exact goals and ambitions, we offer two types of business models:

  • Time & material: Greater control. Flexibility. Participation in candidate selection. With no rigid processes or end dates, this business model is easier to scale up or down as your business needs change.
  • Fixed price: Fixed scope. Fixed budget. Fixed timeline. Those are the main benefits of the fixed price model. You set the requirements upfront, and we deliver the project within them.

Many clients choose to start with the fixed-price model. However, as their project scope evolves, they typically shift to the time & material model.

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Our data solutions team

Data scientist. Data engineer. Data analyst. Those are the three core roles of any data solutions team. They combine technical expertise and domain knowledge with a solid understanding of your business goals and expectations.

Data engineers

Data engineers are responsible for developing, testing, and maintaining data pipelines. They set strong foundations for data analysts and data scientists, as they build efficient processing and storage solutions for massive amounts of data coming from multiple sources. Data engineers work on modeling actual databases, determining how exactly they will look.

Data analysts

Data analysts collect and interpret data to solve a client’s specific problem. To do so, they create reports and build dashboards based on huge amounts of data to help companies make better, data-driven decisions. They communicate this information to the organization’s leaders and other stakeholders, thus empowering well-informed decision-making.

Data scientists

Empowering smarter business decisions. Data scientists are at the forefront of digital data transformation. Using machine learning algorithms, they turn complex data into actionable insights. Data scientists dive into historical data and convert it into dynamic predictive and precise tools.

Our data science and AI areas of expertise include:

  • Big data
  • Forming data warehouses and data lakes
  • ETL processes
  • Machine learning
  • Deep learning
  • Reinforcement learning
  • Computer vision
  • NLP
  • Recommender systems
  • Time series analysis
  • Linear programming
  • Analysis of graphs and graph neural networks
  • Data visualizations and dashboards
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Drive success with end-to-end AI solutions

Heads in the world. Hearts in the code. We understand your industry and its specific requirements. FinTech. InsurTech. EdTech. HealthTech. Retail. We understand your industry and its specific requirements. We’re at our best when matching your ambition and creating future-proof, end-to-end digital solutions that generate long-lasting value.

As your technical partner, we detect the core improvement areas that could benefit from the implementation of AI and ML. We perform thorough audits and create roadmaps that allow us to build unique, custom-tailored AI tools that can solve your company’s exact problems.

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Our tech stack: designed to work with yours

  • ETL
  • Python
  • Pyspark Icon
  • Kafka Icon
  • Hadoop
  • Apache Airflow Icon
    Apache Airflow
  • Nlp Icon
  • Machine Learning Icon (1)
    Machine Learning
  • Data Mining Icon
    Data Mining
  • Pandas Icon
  • Keras Icon Only
  • Powerbi Icon
    Power BI
  • Azure
    Azure Synapse Analytics
  • Sql Icononly
  • Excel Icononly
  • Nosql Icon
  • Data Analytics Icon
    Data Analysis
Sasa Popovic Contact Form

Meet Sasa, our co-founder. It all started with him and Vladan – two roommates at university with a big dream. Fast forward to today – and 750+ engineers globally – he’s still never too busy to pick up an email. Catch him on

Real People. Real Pros.

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We’ll get back to you within 12 hours.

Data science and AI - FAQ

Math. Statistics. Specialized programming. Advanced analytics. Artificial intelligence. Machine learning. Data science represents a fusion of it all. This interdisciplinary field helps us reveal crucial insights hidden in your company’s data. The insights that help you build strategic plans and achieve your company’s full potential.

Your dreams. Our expertise.

There are three roles in data science — data scientist, data engineer, and data analyst

Investing in data science as a service can make a huge difference in productivity, decision-making, and product development. It helps you minimize the risk of error, boost productivity, and enhance customer service quality.

The cost of data science services depends on numerous factors, including the scope of the project, data complexity, the exact services needed, as well as the roles required for project execution.