FinTech main

The Reason to Act Now

Fintech attracts innovation into the financial sector as a whole.

The main reason why AI gains so much attention and usage is, of course, automation, as using instruments powered by it results in boosted productivity. AI also structures and analyzes data that changes not only financial operations but also affects clients’ service quality due to chatbots and good personalization. In addition, this is an efficient fraud-detection instrument, which has always been a problem in banking, preventing clients from trusting the system.

Statistics show that more users come to banks for personalized finance solutions, yet, only 45% of customers around the world have access to a personal assistant in banking.


AI and ML Services

Data analytics

Trading analytics

Algorithmic trading

Predictive analytics for investment

Increasing safety

Asset management

Finance process automation

Payment processing

Customers’ personalization

Anti-money laundering (AML)

Personal financial management

Chatbots implementing

Credit risk inspection

Fraud detection

Impact of AI and ML on FinTech

AI and ML in the FinTech industry resolve a lot of issues and make significant service improvements

Data analytics

Building fintech software allows you to make essential data more transparent and prominent. Such solutions simplify metrics tracking and enable strategic decision-making. Try it for your business!

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Trading analytics

AI and ML models analyze trading data to provide insights into market trends, helping traders and investors make informed decisions. Amazinum will help you be confident in your decisions by implementing innovative tools.

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Algorithmic trading

AI-powered trading algorithms make real-time decisions based on market data and historical trends, optimizing trading strategies. Try this strategy and get maximum profit!

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Predictive analytics for investment

AI analyzes market data and news to make predictions about stock and asset prices, aiding investment decisions. It analyzes social media and news sentiment to gauge market sentiment and predict market movements. Take into account all the factors that affect your success to be the best!

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Asset management

AI is used to optimize asset allocation and portfolio management, enhancing returns on investments. It plays a pivotal role in asset management, offering sophisticated tools and insights to navigate complex markets and deliver better outcomes for investors.

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Finance process automation

Fintech software can automate key finance-related operations.  So accounting, payments optimization, back-office operations can work with minimal human intervention. Businesses can monitor their processes and make sure that everything runs appropriately.

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Payment processing

AI streamlines payment processing by enabling features like voice-activated payments, facial recognition, and contactless payments. It is much more convenient, faster and safer. Launch such a solution with our team!

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Customers' personalization

AI and ML can predict user behavior by integrating algorithms, which allow to collection the data. Then, the user can be offered relevant suggestions based on insights from his behavior. In this way, we increase personalization, which positively affects the level of customer satisfaction.

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Personal financial management

AI-driven financial management apps help users budget, save, and invest by providing insights and recommendations based on their financial data. Why not try this solution?

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Chatbots implementing

AI-powered NLP tools allow companies to quickly reach clients through automated chatbots. The chatbots assist customers with inquiries, account management, and support, offering 24/7 availability and reducing response times. Give your customers an improved service, our team will do everything for you!

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Credit risk inspection

AI and ML can make credit scoring, which evaluates the ability to pay off debts, more accurate. Calculating the ranking requires lots of data to be processed, including total income, credit history, transaction analysis, and work experience. AI can provide reliable scores and analyze real-time metrics to give more customers access to additional finances if they need it.

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Fraud detection

AI and ML in FinTech can detect specific behavior patterns and actions that differ from normal. The monitoring is in real-time, which allows for acting on fraud attempts quicker and more efficiently, saving the staff time. Make your business safer with AI and ML solutions by Amazinum!

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Increasing safety

AI and ML can also offer face and fingerprint recognition, which can protect company and user data. Implementing such an AI-based authentication system will allow you to significantly reduce the risks of fraud or actions from the face of another person.

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Anti-money laundering (AML)

AI and ML are used to detect and prevent money laundering activities by identifying suspicious transactions and patterns. Make your business resilient to the risks of wrongdoing. Our team can implement all for your confidence in each operation.

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Companies that already use AI and ML

Many FinTech companies and traditional financial institutions have been integrating
AI and machine learning ML into their operations.

PayPal uses ML algorithms to detect fraud and risk management, that enhance customer experience through personalized recommendations and fraud prevention.

Revolut, a company specializing in digital banking and financial technology, utilizes AI for preventing fraud, categorizing transactions, and providing personalized financial insights.

BlackRock, a global investment management firm, employs AI and ML for tasks such as portfolio management, risk analysis, and making investment decisions.

Goldman Sachs implements AI and ML in areas such as algorithmic trading, risk management, and customer service.

Capital One utilizes ML for credit scoring, fraud detection, and to personalize customer experiences.

Stripe, a platform for processing payments, utilizes ML to examine transactions and identify and prevent fraudulent activities.

Wealthfront, as a robo-advisor, utilizes ML algorithms to deliver automated investment advice and manage portfolios.

Major traditional financial institutions such as JPMorgan Chase employ AI and ML to enhance risk management, detect fraud, and optimize customer service.

Advantages of engaging the Amazinum company



We offer you our 
7 years of expertise in data science.


ML Engineers

We have a large talent pool of 
highly-skilled ML engineers of Middle and Senior-level professionals.


Active Projects

Our team has successfully connected Machine Learning Engineers to technical departments in more than 19 companies.

Benefits of engaging Amazinum

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Customer orientation

The main task of our team is to satisfy the client’s interests. We are attentive to needs and data, focused on supporting communications and constant updates, and focused on quality results.

Clarity of execution

Amazinum offers clear deadlines, organized work, regular updates, adjustment of the project to the needs and resources of the client, and a comfortable work process.

Attractive prices and excellent quality

Amazinum uses the client’s resources efficiently and intelligently. High-quality service and development, optimization of resources, and qualified specialists – all this ensures comfortable cooperation and a successful product at the end.

An attractive partnership

Amazinum values long-term partnerships. 
We strive to satisfy every customer and provide them not only with a successful product but also with quality service. We offer data security, loyalty, transparency, flexibility, and communication, which will ultimately lead to the realization of the client’s idea.

Transform your business with Amazinum

We offer you technical expertise that can meet the needs of different domains from healthcare to logistics. Discover the power of digital technology for your business.

Amazinum will provide you with an experienced, qualified specialist who can help you turn your business around and become a leader among your competitors.

What We Do Best: Our Expertise


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AI and ML
Technologies for
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Technologies for Banking_ New Level

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.

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Learn about technology stack we use to implement data science:

Programming languages:

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for data analysis and processing:

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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:

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Flask logo
FastAPI logo
Django logo

for visualization:

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Deploying solutions:

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GitLab logo
TensorFlow logo
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Cloud Solutions:

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Vitaliy Fedorovych

CEO, Data Scientist at Amazinum

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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

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Bazarnitska Alina

Client Partner

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Ihor Khreptyk

Client Partner

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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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