Artificial Intelligence Services

Artificial Intelligence Services

Let`s build AI-powered solutions to reinvent your business development path.

The market size in the Artificial Intelligence main pictures

Artificial intelligence is the ability of machines and programs to analyze received information, draw conclusions, and make decisions based on them. The main characteristic is the possibility to learn, accumulate knowledge and apply it. The availability of big data opens opportunities for AI deep learning and its implementation in any field, making the automation of many processes and increasing efficiency.

The development of artificial intelligence is happening too fast, while maintaining a tendency to increase speed. The share of companies’ revenue that is “AI-influenced” more than doubled between 2018 and 2021 and is expected to roughly triple between 2018 and 2024.

Machine learning goes hand in hand with AI development. The trained model by an ML specialist is easily integrated for AI training and on its basis are created more complex and highly specialized algorithms. AI and machine learning in interaction always give the most suitable result for solving business needs.

According to Statista:

  • The market size in the Artificial Intelligence market is projected to reach US$305.90bn in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 15.83%, resulting in a market volume of US$738.80bn by 2030.
  • In global comparison, the largest market size will be in the United States (US$106.50bn in 2024).
The market size in the Artificial Intelligence

Amazinum Offers the Following AI Services:

AI as a Service (AIaaS)

Your business can experiment with AI models because they will be based on your company’s data or ready-made data science models. These solutions can help companies build AI applications without AI experience. You can choose the best AI companies that offer quality services.

Custom AI development

In case your company needs a special solution and the ready-made layout does not please you, AI outsourcing companies are most often turned to. We create custom AI solutions to meet all the company’s needs. A custom solution allows you to work with certain data, extending AI features and achieving high prediction quality for specific data.

Web Scraping Services

Web scraping is one of the most effective methods of collecting a large amount of data that businesses need to better understand the market, their customers, and the growth of their brand. The data are structured and categorized by AI and can be used to make important decisions. Why not try a test run of collecting some data for your business and see how it can benefit you?

AI Model Development & Training

If your company is ready to invest in artificial intelligence engineering but does not have a specialist with relevant knowledge, it will be most correct to use a consulting service. It accords with the machine learning area, deep learning, and computer vision, and it will be a cure for confusion points in your business field that should be reworked.

How Artificial Intelligence Works?

Problem Definition

  • Identify the problem or task to be solved
  • Define the desired outcome and performance metrics


Data Collection and Preparation

  • Collect relevant data
  • Clean, preprocess, and annotate data
  • Split data into training, validation, and test sets


Model Selection and Algorithm Development

  • Choose an appropriate AI technique
  • Select or develop a suitable algorithm or model architecture
  • Configure model parameters and hyperparameters


Model Training

  • Feed the training data into the model
  • Adjust model weights to minimize the loss function
  • Monitor model performance using validation data


Model Evaluation

  • Test the trained model on unseen data
  • Assess performance using predefined metrics
  • Identify areas for improvement or potential biases


Model Fine-tuning and Optimization

  • Adjust hyperparameters or model architecture
  • Perform feature engineering or data augmentation
  • Retrain the model and evaluate performance iteratively


Model Deployment

  • Integrate the trained model into the target application or system
  • Monitor model performance in real-world scenarios
  • Update the model with new data or techniques as needed


Ethical Considerations

  • Ensure AI system’s fairness, accountability, and transparency
  • Address potential biases and unintended consequences
  • Follow data privacy and security guidelines


Business Value

  • Optimize resources and reduce costs
    AI can help you optimize routine human labor, thereby saving your business money and reducing the likelihood of human error and mechanical human error. In this case, autonomous artificial intelligence, i.e., the one that manages operations on its own, will be ideal. This will allow your business to keep its focus on things like innovation and development.
  • Interact with customers 24/7
    AI allows you to stay in touch with your customers around the clock and respond to their queries and concerns in real time, while mimicking human speech. This will help you build more customer loyalty and maintain their trust and commitment to your business.
  • Make faster decisions
    For business owners, the introduction of AI has another big advantage, such as accurate and consistent decisions. AI mechanisms have access to historical data and can make predictions based on it, allowing you to formulate business strategies and minimize the error in them.
  • Better understanding of your customer
    By analyzing large amounts of data, AI can identify patterns and trends that help you understand your customers’ behaviors, desires, and concerns. The statistics collected by AI will help you analyze your user segments and create personalized advertising campaigns and recommendations for them.
  • Analysis of income and expenses
    With AI, you can easily analyze various inputs from customers, suppliers, and employees to make cost and revenue forecasts based on them. By analyzing your company’s history, AI will be able to predict what will happen in the future based on your company’s history, while taking into account all the changes that have occurred or may occur in the future. This way, you can make informed decisions to run your business successfully.

Artificial Intelligence & Business Solutions

Food Tech

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Real Estate

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Logistics and Transportation

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Information Technology

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Legal Business

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AI Applications


Data analysis 
& insights

predictive analytics



imade & video analysis

risk assessment

optimization managment

decision support systems

process improvement

customer service

quality control

research & development

marketing &


The impact that tech behemoths like Microsoft, Google, Apple, and IBM have had in the healthcare space is enormous for the sector. AI is currently used in many different aspects of healthcare, such as data mining to find patterns and perform extremely precise diagnosis and treatment of medical conditions. Furthermore, it finds application in drug discovery, robotic surgery, medication administration, and medical imaging.

In a similar vein, NuMedii, a biopharma company, created the Artificial Intelligence for Drug Discovery (AIDD) platform, which uses big data and AI to identify drug-disease relationships at the systems level.

Retail and e-commerce

The most obvious and observable industries for the application of AI are retail and e-commerce, which makes its effects tangible for most end users. Due to intense competition in the market, retailers are constantly searching for methods to identify trends in customer behavior. This allows them to better match their business strategy to the needs of their customers and outmaneuver rivals.

These businesses now have the ability to successfully meet and surpass the changing needs and expectations of their customers thanks in large part to AI. Your Amazon account’s product recommendations are nothing more than sophisticated artificial intelligence algorithms used to predict the things you will most likely purchase.


The introduction of AI applications has caused a significant transformation in the banking and financial services sector. There are many AI use cases in this field. Intelligent software robots are replacing human agents in many scenarios so that loan applications can be processed in milliseconds instead of seconds. In a similar vein, robo-financial advisors can quickly sort through several tiers of data and suggest the best investments for their clients.

In the insurance industry, AI-powered chatbots are also being used to enhance customer service and generate insurance products and plans using client data. AI-based software has also greatly shortened the time it takes to process claims, which benefits both customers and insurance companies.

Logistic and Delivery

AI-powered solutions have also greatly benefited the logistics and transportation sector. Supply chain management has already been changed by the application of machine learning, becoming a seamless procedure. Robots driven by AI are widely used in warehouses to package and sort goods. Additionally, the use of AI algorithms to support last-mile delivery and determine the fastest shipment route is growing.

Undoubtedly, self-driving cars will be the next big thing in the transportation sector. Artificial intelligence (AI)-based self-driving cars have the potential to replace human drivers and improve road safety, even though they are still in the research and testing stages in many countries.


Artificial Intelligence (AI) is used in manufacturing across multiple lines and layers of operations, from product design to workforce planning, to improve productivity, quality, and worker safety. Artificial neural networks and machine learning are used in factories to help with predictive maintenance of important industrial machinery that can reliably forecast asset failure. It facilitates prompt action by management to repair the equipment and avoid expensive unscheduled downtime.

An essential component of production is the robot. Most industrial robots are frequently motionless, but they run the risk of colliding with nearby objects. The concept of collaborative robots, or “cobots,” that can follow human instructions and work effectively alongside them, has been heralded by the application of AI in robotics.


With so many beneficial use cases, artificial intelligence (AI) in education has completely changed the way we learn. Among these applications are:

  • AI-powered personalized learning can improve student engagement and learning outcomes by tailoring instructional materials and adaptive learning pathways to the specific needs of each student.
  • Intelligent tutoring: AI-driven tutoring programs can offer students individualized advice, comments, and support, improving their educational experience.
  • Automated grading: AI systems have the ability to grade assignments, tests, and quizzes automatically, saving teachers time and giving students rapid feedback.
  • Learning analytics: AI can examine data on student performance to find trends, patterns, and areas for development. This allows for the development of data-driven interventions and individualized support.
  • Virtual assistants: AI-driven virtual assistants can improve the learning environment by responding to questions from students, offering resources for education, and helping with administrative duties.

Entertainment and gaming

AI gives the entertainment industry intelligent capabilities to power everything from video games that improve player experience and visuals to OTT platforms that recommend personalized shows to viewers. Artificial intelligence (AI) is used in the film industry to improve digital effects and carry out a variety of other tasks that reduce costs and expedite the pre- and post-production processes. For instance, movie scripts can be written using Natural Language Processing (NLP).

One of the first sectors to use AI was the gaming industry, and it has had a significant impact on user experience. This indicates that AI is used in the gaming industry to control the actions and behaviors of NPCs, or non-player characters, who help to advance the story of the game in a preset direction. Such characters’ AI-driven behavior modeling substantially improves the player’s experience with the plot as a whole.


AI is having a significant impact on the fashion industry, influencing different parts of the value chain. Trend analysis and forecasting is one important area. Through the analysis of massive volumes of data from social media, fashion blogs, and online platforms, AI algorithms can identify emerging trends, consumer preferences, and fashion influencers.

Recommendation engines driven by AI can examine client information, such as browsing habits, past purchases, and preferred styles, to offer tailored product recommendations. This boosts sales and customer loyalty while improving the customer experience. Artificial Intelligence (AI) can precisely predict demand by utilizing machine learning algorithms to analyze past sales data, market trends, and external factors such as weather patterns. This lowers costs and minimizes waste by optimizing inventory management, production scheduling, and logistics for fashion brands and retailers.

Artificial intelligence (AI) algorithms can automatically classify, tag, and catalog products by analyzing images and recognizing particular patterns, colors, or designs. This facilitates inventory control and enhances e-commerce platform searchability. By comparing photos and spotting differences, AI can also help with the detection of fake goods.

Companies that already use Artificial Intelligence

Cortexica (United Kingdom)

Cortexica specializes in image recognition technology, using AI to develop solutions for visual search, brand detection, and augmented reality applications.

Zebra Medical Vision (Israel) logo

Zebra Medical Vision (Israel)

Zebra Medical Vision applies AI to medical imaging, providing diagnostic insights for radiologists. Their algorithms can detect various medical conditions from X-rays, CT scans, and MRIs.


To predict sales, estimate revenue, and assist companies in making decisions, Salesforce integrates time series forecasting into its CRM platform.

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Sentient Technologies (United States)

Sentient Technologies focuses on AI-driven solutions, particularly in e-commerce. Their platform uses AI for product recommendation, personalization, and optimization of online shopping experiences.

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DataRobot (United States)

DataRobot offers an automated machine learning platform that enables organizations to build and deploy machine learning models. They cater to businesses looking to integrate AI without extensive expertise.

UiPath (United States/Romania) logo

UiPath (United States/Romania)

UiPath specializes in robotic process automation (RPA) using AI-driven software robots. Their platform automates repetitive tasks in business processes, enhancing efficiency.

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Ayasdi (United States)

Ayasdi focuses on AI applications for enterprises, particularly in the fields of finance, healthcare, and energy. They provide solutions for data analysis, anomaly detection, and pattern recognition.

Insilico Medicine (United States) logo

Insilico Medicine (United States)

Insilico Medicine applies AI to drug discovery and development. They use machine learning to analyze biological data and identify potential drug candidates more efficiently.

Cogniac Corporation (United States) logo

Cogniac Corporation (United States)

Cogniac specializes in computer vision solutions using AI. Their platform is designed for industries such as manufacturing, healthcare, and logistics to automate visual inspection tasks.

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Darktrace (United Kingdom)

Darktrace is a cybersecurity company that uses AI to detect and respond to cyber threats in real-time. Their technology employs machine learning to understand and adapt to evolving security risks.

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Peltarion (Sweden)

Peltarion offers a platform for building and deploying AI models. It aims to make AI more accessible to businesses by providing a user-friendly interface for model development and deployment.


Amazinum Portfolio

Check out a few of our recent projects
Navigating the Future: Harnessing AI and ML in the Maritime Industry
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Smart Eyes: The Integration of AI and ML in Surveillance Cameras for Enhanced Security

Beyond Monitoring: The Power of AI and ML in Construction Site Surveillance

Our Industry Focus

Our industry knowledge and background give our clients and partners confidence that we understand their business. Here we highlighted a few top industries we are good at, penetrating to the smallest details and nuances of a certain branch.

SEO & Advertising icon

SEO & Marketing


Safety & Security

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E-commerce & Retail icon

E-commerce & Retail

Gambling and Casino icon

Gambling and Casino

Manufacture icon


Ecology icon



Energy icon


Localisation icon


IoT icon


Partners & Clients

We deeply appreciate our partners for cooperation. Every member of the Amazinum Team does their best to provide the highest quality of services and solutions. We satisfy all your needs and requirements.

byteant logo
sleepnumber logo
softserve logo
aid genomics logo
Vimmi logo
PVH logo
sloboda studio logo
AstonUniversity logo
YellowMedia logo
byteant logo
sleepnumber logo
softserve logo
aid genomics logo
Vimmi logo
PVH logo
sloboda studio logo
AstonUniversity logo
YellowMedia logo


Learn about technology stack we use to implement data science:

Programming languages:

Python logo

for data analysis and processing:

OpenCV logo
NumPy logo
SciPy logo
Pandas logo

for creating solutions:

spaCy logo
Spark logo
PyTorch logo
TensorFlow logo
Keras logo
Scikit-Learn logo

for API development:

RabbitMQ logo
Flask logo
FastAPI logo
Django logo

for visualization:

ploty logo
matplotlib logo

Deploying solutions:

Docker logo
GitLab logo
TensorFlow logo
DVC logo logo
KubeFlow logo



PostgreSQL logo
ClickHouse logo
BigQuery logo
MySQL logo


Bigtable logo
Elastic logo
Cassandra logo
mongo DB logo

Cloud Solutions:

Google Cloud logo
AWS logo

Vitaliy Fedorovych

CEO, Data Scientist at Amazinum

Vitaliy Fedorovych contact us photo

Hello there!

Amazinum Team assists you through all data science development processes:
from data collection to valuable insights generation.
Get in touch with our CEO and Data Scientist to figure out the next move together

Contact Us

Click or drag a file to this area to upload.
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Bazarnitska Alina

Client Partner

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Ihor Khreptyk

Client Partner

Stopnyk Zoriana photo

Stopnyk Zoriana

Client Partner

Vitaliy Fedorovych contact us photo

Vitaliy Fedorovych

CEO, Data Scientist

Vitaliy Fedorovych

CEO, Data Scientist at Amazinum

Vitaliy Fedorovych contact us photo

Hello there!

Amazinum Team assists you through all data science development processes:
from data collection to valuable insights generation.
Get in touch with our CEO and Data Scientist to figure out the next move together

Contact Us

Click or drag a file to this area to upload.

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