AI Software 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.

Artificial intelligence is altering software development in all ways imaginable. AI becomes a game changer when it comes to the invention and implementation of a transformed vision of technology. In the last couple of years, technology became deeply rooted in almost each business field. From medicine and learning to marketing and construction – companies are striving to improve overall results with the use of ML and AI software. 

At the same time, in order to come into the existence, companies require proper Artificial Intelligence development. Building suitable AI software requires experienced artificial intelligence developers with high expertise levels in the field. And it is when AI software development companies enter the game. 

Training AI algorithms demands proper skills and instructions, including understanding how to assemble algorithms, how to collect and process data for training, and how to run 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 experience of professional and talented AI engineers to your disposal.

Our approach to AI Development

Artificial Intelligence development requires a vast variety of professionals since it is not only the development team who brings AI to life. Our approach includes three main stages which together result in AI software and app development alongside fully conducted expertise. 

We believe, that the essential part in process of AI development and implementation is the conduction of AI Consulting research. Both our Artificial Intelligence developers and the client should understand exactly how ready the client’s company is for AI. Consulting expertise also provides the necessary background information on topics of major focus, the current state of the company’s system, and overall equips the dev team with huge volumes of quality data needed. 

We support our clients in process of training AI, which is a crucial part of Artificial Intelligence Development. Support in training is one of our core values when it comes to AI development services. We are striving to provide our clients with an understanding of how AI works and functions at every stage of AI development. 

Our AI Software Development Expertise

We operate a strong and experienced team of engineers. The Data Science UA team is excellent at filling required domain experts positions, bringing together a team to come up with the best Artificial Intelligence development services. 

We think out of the box. This feature comes from experience in various industries, each one requires its own unique approach. We believe that clear communication and attention to detail allow us to create AI tools that will suite our client’s interests. 

We are experienced in real-life Artificial Intelligence software development solutions. 

Each of our specialists is an expert in his field, while also having an understanding of other domains. Such a team structure allows us to build strong cooperation between all departments working on AI development services

Industries We Serve

Our team has experience in working with various industries, such as: 

  • Marketing (usage of ML tools for forecast sales; recommend products;  analyze assortment);
  • Logistics & Warehouses (traffic management improvements; warehouse optimization, developing optimal loading systems and utilization systems for vehicles);
  • Insurance (creation of more personalized service; prediction of the repair costs from historical data; selection of better investments based on risks, preferences, and spending patterns);
  • Manufacturing (optimizing production lines and logistic chains; forecasting revenue; determining optimal employee workloads; setting up automated systems for monitoring compliance with safety regulations);
  • Retail & E-commerce (customer analysis; assortment analysis; sales forecasts; marketing and advertising budgets optimization; increase the efficiency of merchandising and supply chain management);
  • Agriculture (increase the yield of farmlands; ensure serviceability of farm equipment; monitor field conditions, irrigation, soil moisture, etc; predict weather conditions);
  • Internet of Things (identification of patterns and detection of anomalies in the data that smart devices and sensors transfer);
  • Cybersecurity (analyze patterns in user behaviors and respond to changing behavior; identify cyber vulnerabilities and irregularities in the network);
  • FinTech (credit scoring; recommendation systems for both new and prospective clients);
  • Healthcare (management and analysis of data; improvement of  preventive care; personalized treatments; optimization of scheduling and bed management; detection and analysis of patient patterns and correlations for better decision-making);

How We Solve Problems – Our Workflow

We have developed a comprehensive step-by-step approach with a transparent structure. Such an approach to AI software development allows us to be translucent with clients and give them a clear understanding of the current stage of AI development.

This approach consists of: 

  1. Problem – problem definition and details discussion
  2. Discovery & Documentation – collection of all necessary data, files, and documentation. 
  3. Timeline – timeline definition and project details agreement.
  4. Team Assembling – IT team organization to complete a project
  5. Development – the initial phase of the project running.
  6. Deployment – 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.


What are the most common AI development services?

Businesses usually refer to AI in order to automate routine tasks, label data sets for training, evaluate 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 diagnostics, and 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