Data science services

The competitive technology market requires a faster, more efficient, and foolproof approach to software product development. An answer to these needs is using artificial intelligence and machine learning models. These data science techniques make your data work for you, helping you operate more efficiently.

Empower your business

Data science services for smarter business

Data science means extracting valuable business insights from vast amounts of your data by using AI, machine learning, deep learning and other specific algorithms and techniques. At CodiLime, we offer various services that will help you reach your business objectives and increase your market competitiveness.

AI/ML introduction assessment

We will look at your existing project or product and assess whether it has the potential to introduce AI/ML techniques. If so, we will indicate exactly these places and show you the benefits that AI/ML-enhanced business logic can bring you.

Machine learning models and implementation

Thanks to our experience in working with data and building ML models, we will design and create a solution suitable for your case. We will also help you integrate it with the existing code of your solution if necessary.

AI/ML solution review & optimization

If you feel that your existing AI/ML solution does not meet your expectations for some reason, we can analyze it for you and give specific recommendations on how to improve it. We can also optimize it or modify it for you.

Make your data work for you

Our data science expertise in practice

Our data science approach is problem-based. We build models and algorithms that solve specific challenges and give you the answers you need.

Data exploration

Exploration analysis is essential to properly understand the characteristics of underlying data. We use it to propose the most promising ML models (e.g. for a given class of problem) instead of immediately starting with effortful experiments with various available models.

Time series forecasting

Time series forecasting means using historical, time-stamped data to enable accurate predictions. Our services include experimentation with various predictive models, which leads to the optimal one in terms of accuracy and execution time.

Capacity planning

By constantly monitoring the consumption of network resources (e.g. link occupancy) and by using ML techniques to forecast this consumption in the future, any necessary network capacity upgrade can be made at the right time. A similar approach can be used in a data center to proactively increase CPU, memory and storage resources.

Intelligent alerting

Alerts are usually triggered (within a monitoring application) when some event occurs, some condition is met, or the measured value of a certain metric exceeds a defined threshold. However, triggering an alarm does not necessarily lead directly to remedial actions. Using AI/ML techniques can filter out non-meaningful alarms and make alerting more intelligent.

Proactive load balancing

Load balancing in a networking environment and lack of congested elements is the desired state for proper operation. Continuous observation of traffic flows’ bit rate and forecasting such time series in terms of trends and seasonalities using ML models allows for proactive and automatic routing reconfigurations. This way, you can achieve the desired load balancing on the links.

Data science benefits for your business

In-depth data analysis for better business decisions

Effective risk management thanks to predictive analytics

Enhanced operational performance via automation

Actionable insights that your competitors don’t have access to

Improved customer experience

Data science technologies

The tools we use for data science allow us to deliver excellent results according to the needs of your data science project. Our stack is constantly expanding with new data science technologies.

Experimentation environment

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Data analysis and machine learning models

Deep Learning

Data Visualisation

Databases

Our publications about data science

Data science is an ever-evolving subject, and there’s much to say about it. Head to our blog to find articles by business professionals, data engineers, data scientists and data analytics experts.

Data Science vs. Data Analytics - main differences overview

Data Science vs. Machine Learning: understanding the difference

AI and machine learning landscape for networks

Types of Artificial Intelligence - a general overview of a formidable technology

What do our partners say about us?

CodiLime's expertise in software engineering was indispensable at the beginning of Neptune's journey. CodiLime helped us build and release the first version of Neptune and convince investors that our product is a real game changer for data scientists. Without any hesitation, I can recommend CodiLime as a reliable technology partner for every tech startup.

Piotr Niedźwiedź - CEO

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Explore our other services

Data science is only a small part of what CodiLime can do for you. We provide support in many fields, including data, design, networks, and software engineering.

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Use your data to operate efficiently

For businesses that need support in their software or network engineering projects, please fill in the form and we'll get back to you within one business day.

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