AI Development Services

AI software development from end to end requires input from a variety of professionals. Take advantage of our technological expertise and a large pool of IT specialists. At Data Science UA, we do our best to provide you with state-of-the-art custom AI software tailored to your business requirements. Our artificial intelligence software development company can help you leverage the power of such tools, taking your business to an entirely new level.

AI Development Services we Provide

As a leading AI development company, we will show how many opportunities come from implementing AI into your business. Besides, we will help you determine and remove barriers to AI innovation.

Together we will look for the areas where this technology will be most beneficial to your business. Our AI development company will create and develop algorithms for you. We can also help to train AI services you built yourself and integrate models into the company’s workflow.

The team of seasoned professionals will deliver relevant and impactful custom AI software, which will help you outpace the competition. Our AI solutions company can build intelligent systems, performing tasks quicker and cheaper than humans, and doing their job anytime and anywhere.

No matter what industry you are in, your business will surely benefit from improved analytics, automation of routine tasks, and enhanced efficiency thanks to better processing of large datasets.

We will help you build smarter AI-based mobile apps, which serve business purposes better and boost revenue. Use its power to engage users, improve decision-making with AI-driven development and boost personalization.

In particular, AI can tell mobile developers how users interact with apps and what they are looking for. With the help of the AI development company for implementing this technology will help to provide better insights and suggest changes in applications for a better experience. Moreover, it can provide user-centric recommendations and messages.

Is your business ready for AI?

And how artificial intelligence service providers can help your business develop and scale?

Artificial Intelligence is no longer a thing from the movies and is far from being a fad. It has become a must-have for a successful business. Understanding the importance of working with data and employing algorithms can make a difference between leaders and stragglers.

Let’s make it clear — AI is not inherently “intelligent”, no matter how strange it sounds. At first, there are only “naked” algorithms or models that become intelligent after being trained on huge volumes of data. For most business applications, it means considerable amounts of company-specific data. And that is where AI software development services come in.

Training algorithms is not as easy as it may seem. To achieve the success you need:

  • The large volume of high-quality data. The role of data in AI solution development is far more important than it is in advanced analytics and big data applications. Data collection and processing are the most time-consuming activities in this process.
  • A well-developed system, combining information from various sources, training, and integrating findings from more recent data. Sometimes, the organization owns all required data, but they are fragmented across multiple systems. As a result, the process of training models is hindered. An artificial intelligence software development company will help your business to overcome those difficulties.

The need to get appropriate data for training AI algorithms has wide-ranging implications for the usual make-versus-buy dilemma of new technology investments. As you can see, getting value from AI is more complicated than just making or buying this technology for a business process. 

Training AI algorithms requires various skills, including understanding how to build algorithms, how to collect and process data for training, and how to supervise the training. So to use the power of AI, you need a reliable Artificial Intelligence development company as your partner. And Data Science UA can offer you top-notch AI development services bringing the expertise of experienced and skillful AI engineers to your disposal.

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AI development process

  • 1


    Problem definition and details discussion

  • 2

    Discovery & Documentation

    Сollection of all necessary data, files, and documentation.

  • 3


    Timeline definition and project details agreement.

  • 4

    Team Assembly

    IT team organization to complete a project

  • 5


    The initial phase of project actualization.

  • 6


    Research, development, and implementation of the main part of the project by the IT team.

  • 7

    Post-project stage

    Summing up and analysis of the results.

  • 8

    Support and maintenance

    Further support for the developed product, if applicable.

Our Cases

Industries We Serve

1. Marketing

Marketing teams tend to have lots of data about advertising, web analytics, customer behavior, etc. We can fine-tune all data analysis solutions to run like clockwork and  free up more of your marketing team’s time to be strategic and effective. Our data science services company uses machine learning to:
– forecast sales;
– recommend products;
– analyze assortment and so on.

2. Retail (E-commerce)

Retail usually accumulates large amounts of data and is eager to use data analytics.
We can help with:
– customer analysis;
– assortment analysis;
– sales forecasts;
– marketing and advertising budgets optimization;
– increase the efficiency of merchandising and supply chain management.

3. Manufacturing

Generation of optimized plans that enable predictive maintenance is one of the key goals for AI in manufacturing, as well it helps in:
– optimizing production lines and logistic chains;
– forecasting revenue;
– determining optimal employee workloads;
– setting up automated systems for monitoring compliance with safety regulations.

4. IoT

When artificial intelligence is working with IoT devices it means that data can be analyzed and decisions can be made without involvement by people. In a broad variety of industries where IoT is implemented, AI can help to identify patterns and detect anomalies in the data that smart devices and sensors transfer (for example, air quality, humidity, temperature, pressure, vibration, sound, and others).

5. FinTech

FinTech companies usually work with sensitive information and have high-security standards. We take all necessary precautions to keep their data safe. Data Science UA can assist such businesses in:
– credit scoring;
– recommendation systems for both new and prospective clients.

6. Logistics & Warehouses

The transportation and warehouse industry is data-driven and needs analysis of historical and real-time data performed by intelligent algorithms. So our team can help with:

  • traffic management improvements
  • warehouse optimization,
  • route optimization (“travelling salesman” problem),
  •  developing optimal loading systems and utilization systems for vehicles;

7. Insuarance

AI can help insurance companies deliver high-quality service as it has done for major leaders in other industries such as Healthcare, Fintech, etc.

Our data science agency can help to:

  • create a more personalized service;
  • predict the repair costs from historical data;
  • provide a selection of better investments based on risks, preferences, and spending patterns;
  • improve claims analysis.

8. Agriculture

Farmers aim to maximize production and profits using innovative software and data collection and analysis.  We can make the analysis of historical and real-time images & data collected from databases, satellites, drones, IoT sensors that can help to:

  • increase the yield of farmlands;
  • ensure serviceability of farm equipment;
  • monitor fields conditions, irrigation, soil moisture, etc;
  • predict weather conditions.

9. Cybersecurity

Nowadays AI helps to deploy effective cybersecurity technology and allows businesses to solve major cybersecurity challenges: cyberattack, financial loss, or brand reputation damage. We can help cybersecurity teams to:

  • analyze patterns in user behaviors and respond to changing behavior;
  • identify cyber vulnerabilities and irregularities in the network.

10. Healthcare

AI is already transforming the healthcare industry—helping patients and hospitals optimize costs and increase care delivery through actionable insights. We can help to:

  • manage and analyze data to provide;
  • improve preventive care;
  • create personalized treatments;
  • make optimization of scheduling and bed management;
  • detect and analyze patient patterns and correlations for better decision making.

Our AI Development Tech Stack



  • tableau Power BI
  • tableau Tableau
  • qlik Qlik
  • matplotlib Matplotlib
  • seaborn Seaborn
  • ggplot2 Ggplot2
  • plotly Plotly
  • bokeh Bokeh


  • microsoft_sql_server slon dolphin
    Relational (MS SQL, PostgreSQL, MySQL)
  • leaf couch eye
    Non-relational (MongoDB, CouchDB, Cassandra etc.)
  • hadoop
    Distributed (Hadoop etc.)

DL Frameworks:

  • pytorch PyTorch
  • tensorflow Tensorflow
  • keras Keras


  • neural_language_processing On-premise
  • Cloud
  • Hybrid


  • machine_learning Supervised learning (classification, regression)
  • deep_learning Unsupervised learning (clustering, dimensionality reduction, anomaly detection, pattern search)
  • intersection Ensembles
  • reinforcement Reinforcement learning


  • neural_language_processing Natural Language Processing
  • Computer Vision
  • Recommendation systems
  • Tabular data analysis
  • Signal Processing

Neural Networks:

  • CNN
  • RNN
  • DNN
  • LSTM
  • GAN
  • Autoencoders

Cloud Platforms:

  • Amazon Web Services
  • Google Cloud Platform
  • Microsoft Azure

Why Choosing Data Science UA?

A strong AI
engineering team.

We are deeply integrated into the Ukrainian Data Science community and can find all required domain experts to come up with the best Artificial Intelligence development services;

We’ve worked with various industries before and can think out of the box.

Data Science UA can help with building and implementing AI solutions in different sectors. Besides, our team is not afraid to ask questions and look for information to learn new industry/business better;

Our technical know-how in AI solutions development is solid.

We’ve designed AI software for many businesses. Our company values a T-shaped approach: each specialist should be an expert in a particular domain and have broad knowledge in other spheres. Thus, we are able to provide excellent AI development services, finding solutions to unique problems.

We offer flexible cooperation.

Data Science UA chooses the form of cooperation that will be the most suitable for the project’s needs and goals. You can work with us in team-extension-mode or on a project basis. We can create cross-service projects (like consulting + data analysis & data science + recruitment or any other combination);

We use proprietary technologies.

Our AI software development company has worked in this domain for years and has developed and refined our own instruments. Now we can utilize some pre-built technologies to develop unique AI solutions tailored to the needs of your business;

We carry out R&D activities.

Our specialists love challenges and are eager to “do their homework”. We are an AI research company, keeping an eye on the new trends and looking for new ideas and approaches to bolster our services and products.

We can successfully cooperate with various teams in your company to bring the most benefit for your business:

  • Discovery.

    Such collaboration frequently begins with developing a proof of concept. Usually, stakeholders are people with little technical knowledge and “high-level” goals. Our company, as an Artificial Intelligence solution provider, can break down these goals into logical steps, identify and prioritize use cases, and offer the best solution for each.

  • Team Extension.

    You may already have a data science team, but it’s hard to cover all possible needs in-house. We can be a valuable asset, boosting your expertise in certain subfields of AI, such as natural language processing, computer vision, and predictive analytics;

  • AI solution adaptation.

    Machine learning may not be the key expertise of your company. We can join forces with your engineering team, providing the API of an ML system that fully suits your needs. Thus, your specialists can devote their time and efforts to the primary tasks rather than try to master an entirely new discipline;


What are the most common AI development services?

Businesses usually refer to AI in order to automate routine tasks, label data sets for training and evaluation of machine learning models, and to get data-driven predictions from advanced analytics. Also, they implement pre-trained neural networks into their ML solutions to improve efficiency at a lower cost.

What are the business outcomes of AI software solution development?

No matter what industry you are in, your business will surely benefit from our Artificial Intelligence development services. The outcomes may vary across industries. For retail, tapping into new market segments and better targeting of customers’ needs may boost sales and reduce customer churn. The automotive sector will benefit from autonomous vehicles, healthcare will win from automated medical diagnosing, while financial services will get superior fraud detection and security.

Which tools and frameworks do you use for AI development?

Languages: Python, R, Scala, SQL, C++, etc.
Visualization: Power BI, Tableau, Qlik, Matplotlib, seaborn, ggplot2, plotly, Bokeh
DBMS: Relational (MS SQL, PostgreSQL, MySQL), Non-relational (MongoDB, CouchDB, Cassandra etc.), Distributed (Hadoop etc.)
DL Frameworks: PyTorch, Tensorflow, Keras
Architectures: On-premise, cloud, hybrid
Algorithms: Supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction, anomaly detection, pattern search), ensembles, reinforcement learning
Fields: Natural Language Processing, Computer Vision, Recommendation systems, Tabular data analysis, Signal Processing
Neural Networks: CNN, RNN, DNN, LSTM, GAN, Autoencoders
Cloud Platforms: Amazon Web Services, Google Cloud Platform, Microsoft Azure

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