javier-miranda-ltyHWSOXBKg-unsplash
awards
awards
awards

Reach impeccable compliance, raise transparency, strengthen security and tap into the newest financial integrations with Devox’s financial service AI software solutions. We will develop a fully custom system that will seamlessly integrate with your internal ecosystem.

Book a call
Services We Provide

AI Solutions for FinTech Services We Provide

AI solutions for finance encompass a broad range of functions, offering solutions for clients and for your internal infrastructure. See what Devox can make for you.

  • Blockchain and Smart Contract Integration

    Leveraging AI to enhance blockchain applications, including smart contracts for automated compliance, fraud detection in cryptocurrency transactions, and optimizing decentralized finance (DeFi) operations. Monitor blockchain transactions, analyzing cryptocurrency market trends and enhancing security in digital currency exchanges.

  • Financial Forecasts and Wealth Management

    Empower your clients with precise market insights and personalized wealth management strategies: the Devox-made solution will analyze market trends, predict financial outcomes, and provide tailored investment advice, ensuring clients can make informed decisions and maximize their financial growth. Open up access to a comprehensive wealth management solution that automates portfolio management, optimizes asset allocation, and enhances risk assessment.

  • Personalized Banking and Financial Advice

    AI-driven chatbots and robo-advisors offer personalized financial advice and customer service, helping users manage their finances, investments, and savings plans more efficiently.

  • Data Analytics and Visualization Services

    Unlock insights into financial data through advanced analytics and visualization tools that will help you make informed decisions, identify trends, and uncover investment opportunities. Devox incorporates machine learning models to analyze large datasets for insights, predict trends, and automate decision-making processes, particularly in investment, trading, and risk assessment.

  • NLP Solutions

    Let us develop a natural language processing solution of different complexity and purpose. We can make conversational chatbots and virtual assistants handling customer service, providing financial advice, and facilitating transactions to make your client happier. Our expertise also covers more complicated NLP models that can analyze human language from various sources, such as customer support tickets, social media, and financial documents, for sentiment analysis, customer service automation, and regulatory compliance.

  • Fraud Prevention and Detection

    Reduce financial losses and take your customer trust to the next level: Devox can create sophisticated models that analyze transaction patterns in real time to identify, flag, and prevent fraudulent activities, thereby safeguarding assets and enhancing trust. Gain peace of mind while maintaining a strong reputation in a risk-prone financial environment.

  • Regulatory Compliance (RegTech)

    Navigate complex regulatory landscapes easily, reducing the risk of non-compliance penalties while saving on operational costs. Devox will develop tools that streamline the compliance process by automatically monitoring transactions and flagging those that could potentially violate regulations. Reduce the risk of fines and legal issues while raising the bar of transparency.

  • Credit Scoring and Underwriting Automation

    Developing models that use alternative data sources and AI to offer more accurate and inclusive credit scoring and underwriting processes, improving access to financial services. Revolutionize lending processes for your clients with a streamlined procedure and more personalized loan products with reduced default risks.

Development Process

Our AI Solutions for FinTech Development Process

To implement artificial intelligence in finance applications, the Devox team goes through a classic software development life cycle, adding up a few steps concerning AI development and implementation. Let’s focus on this process.

01.

01. Defining Objectives and Requirements

To begin the development, we first identify the specific financial services or operations that could benefit from AI integration and then gather requirements form stakeholders, including technical teams, financial experts, and potential users. We then establish a project roadmap with clear objectives, KPIs, team composition, deadlines and sprints.

02.

02. Data Collection and Preparation

Our engineers collect relevant data needed to train AI models, including transaction history, customer interactions, market data, etc. We clean and preprocess this data to ensure it's accurate and suitable for analysis, handling missing values, removing duplicates, and normalizing it.

03.

03. Choosing AI Technologies and Tools

With clean data in hand, we make our pick in the AI technologies and machine learning algorithms best suited to achieve the project's goals, considering factors like accuracy, scalability, processing time, and your requirements. Our team selects the appropriate development tools and platforms, considering the project's technical requirements and the team's expertise.

04.

04. Model Development and Training

We develop AI models using the selected algorithms and tools. This involves coding, configuring model parameters, and setting up neural networks if using deep learning techniques. We then train the models on the prepared data, adjusting and fine-tuning them to improve accuracy and performance.

05.

05. Model Evaluation and Testing

It’s time to evaluate the models using separate testing data to assess their performance, focusing on metrics relevant to the project's goals, such as precision, recall, or accuracy in fraud detection. We are conducting thorough testing to ensure the models behave as expected in various scenarios and under different conditions.

06.

06. Integration and Deployment

Integrating the AI models into your existing fintech infrastructure, ensuring it works seamlessly with other systems and services. Deploying the model in a controlled environment to monitor their performance in real-world conditions, making adjustments as necessary.

07.

07. Compliance and Security

We double-check the AI solutions’ compliance with relevant financial regulations and standards, including data protection and privacy laws. Implement robust security measures to protect sensitive financial data and AI models from unauthorized access and cyber threats.

08.

08. Monitoring and Maintenance

Devox keeps an eye on the application in question for any issues or declines in performance, ready to troubleshoot problems as they arise. We regularly update the model with new data to maintain their accuracy and relevance, refining them based on feedback, evolving financial trends, new data, or your requirements for scaling.

  • 01. Defining Objectives and Requirements

  • 02. Data Collection and Preparation

  • 03. Choosing AI Technologies and Tools

  • 04. Model Development and Training

  • 05. Model Evaluation and Testing

  • 06. Integration and Deployment

  • 07. Compliance and Security

  • 08. Monitoring and Maintenance

Benefits

Benefits of AI Solutions for FinTech Services

Examples of AI in financial services demonstrate this technology’s potential to boost security, reduce risks, and generally promote financial awareness among users. How exactly can you benefit from developing and implementing a custom solution?

  • Become Reacher Along with Your Client

    Personalize banking experience in new ways. Provide your clients with the investment and trading insights AI algorithms analyze via chatbots, virtual assistants, or personalized financial advice with optimized trading strategies, letting them manage their portfolios more effectively. You will significantly improve not just their satisfaction and engagement but also promote their financial gainings.

  • Ensure Full Compliance Easily

    Streamline compliance processes by automatically monitoring and analyzing transactions for any potential violations, thus reducing the risk of penalties: with the help of AI-driven development, you’ll also tackle constantly changing financial regulations, minimizing the probability of legal issues and automating the reporting process.

  • Advance Risk Management

    Tailor your risk management strategies, reduce defaults, and optimize your financial portfolios. Through predictive analytics and machine learning models, your financial service AI software will improve risk assessment in credit scoring, investments, and insurance underwriting, leading to more informed and strategic decisions.

  • Efficient Data Processing and Analysis

    Have vast amounts of data processed at high speeds, salvaging valuable insights, predicting trends, and enabling data-driven decision-making. The big data fintech solution by Devox will extract information from any unstructured data thanks to ML and NLP technologies to detect trends, generate forecasts, and provide actionable intelligence.

  • Enhanced Security and Fraud Detection

    By analyzing transaction patterns and behaviors in real-time, AI can identify and prevent fraudulent activities more accurately, doubling down with biometric verification and behavioral analytics. You will detect and prevent unauthorized access to accounts, reducing financial losses and increasing trust among users on the way.

Key Features

Key Features of AI Solutions for FinTech

01

Advanced Data Analytics

AI in the financial industry processes and analyzes vast amounts of data from various sources, including transactions, customer interactions, and market trends. This capability allows for deep insights into customer behavior, risk assessment, and financial forecasting.

02

Machine Learning Models

At the core of AI solutions are machine learning models that can predict outcomes, identify patterns, and make decisions with minimal human intervention. These models are trained on historical data and continuously improve as they are exposed to new data.

03

Natural Language Processing (NLP)

AI in FinTech utilizes NLP to understand and generate human language, enabling chatbots and virtual assistants to interact with users in a natural, conversational manner. This technology is also used for sentiment analysis and to extract valuable information from unstructured data like emails, social media posts, and financial documents.

04

Real-Time Processing

AI solutions can process transactions and data in real-time, enabling instant fraud detection, high-frequency trading, and immediate customer service responses. This speed and efficiency are crucial for maintaining competitiveness in the fast-paced financial sector.

05

Personalization

Through AI, FinTech services can offer personalized recommendations and advice to users based on their financial history, preferences, and goals. This level of personalization enhances customer satisfaction and engagement.

06

Predictive Analytics

AI's ability to forecast future trends based on historical data is invaluable for risk management, investment strategies, and financial planning. Predictive analytics can identify potential market movements, credit risks, and customer churn, among other things.

07

Fraud Detection and Security

AI solutions are equipped with sophisticated algorithms capable of detecting fraudulent activities and security threats by identifying anomalies and patterns that deviate from the norm. This proactive approach to security helps protect both the financial institution and its customers.

08

Regulatory Compliance and Reporting

AI can automate the monitoring and reporting processes required for compliance with financial regulations. By analyzing transactions and customer data, AI systems can ensure that financial services operate within legal and regulatory frameworks, reducing the risk of penalties.

Case Studies

Our Latest Works

View All Case Studies
Web 3 White-label PaaS NeoBank Web 3 White-label PaaS NeoBank
  • Web3
  • Fintech

Web 3 White-label PaaS NeoBank

Our client is a blockchain technology firm that has a network of international financial service provider partners. The project is a white-label PaaS ecosystem for neo banking solutions based on the blockchain network.

Additional Info

Country:

USA USA

Sport Info Solution Sport Info Solution
  • Backend
  • Frontend
  • Cloud
  • Metrics & Data

Sport Analytics Platform

Sports Info Solutions is a sports data provider that focuses on gathering and structuring sports data, its analytics and technology.

Additional Info

Core Tech:
  • .NET Core​
  • MS SQL
  • ELK​
  • Vue.js
  • AWS​
  • Docker
  • DataDog​
  • R
Country:

USA USA

SwissMentor SwissMentor
  • Backend
  • Frontend
  • Cloud
  • E-Learning

Comprehensive Learning Management System

SwissMentor is a learning management system (LMS). It’s the software for managing all sides of the educational process: the main features include course management, invoicing, room management, document management, and e-learning.

Additional Info

Core Tech:
  • .NET Core
  • PostgreSQL
  • Angular
  • Docker
  • Kubernetes
  • Azure
  • SCORM
Country:

Switzerland Switzerland

and over 200 our featured partners and clients

company
company
company
company
company
company
company
company
company
company
company
company
company
company
company
Awards & Certifications

Industry Contribution Awards & Certifications

Check Devox Software Awards on rating & review platforms among top software development companies and Certifications our team members holds.

  • Awards
  • Certifications
  • UpWork

    UpWork

  • Clutch

    Clutch

  • The Manifest

    The Manifest

  • DesignRush

    DesignRush

  • MC.today

    MC.today

  • Clutch

    Clutch

  • Clutch

    Clutch

  • AppFutura

    AppFutura

  • Clutch

    Clutch

  • GoodFirms

    GoodFirms

  • DesignRush

    DesignRush

  • UpWork

    UpWork

  • Professional Scrum Master™ II (PSM II)

    Professional Scrum Master™ II (PSM II)

  • Professional Scrum Product Owner™ I (PSPO I)

    Professional Scrum Product Owner™ I (PSPO I)

  • ITIL v.3 Foundation Certificate in IT Service Management

    ITIL v.3 Foundation Certificate in IT Service Management

  • ITSMS Auditor/Lead Auditor of ISO Standard 20000

    ITSMS Auditor/Lead Auditor of ISO Standard 20000

  • Microsoft Certified: DevOps Engineer Expert

    Microsoft Certified: DevOps Engineer Expert

  • Microsoft Certified: Azure Administrator Associate

    Microsoft Certified: Azure Administrator Associate

  • Quality Assurance ISTQB Foundation Level

    Quality Assurance ISTQB Foundation Level

  • Microsoft Certified Solution Develop (MCSD)

    Microsoft Certified Solution Develop (MCSD)

  • Java Development Certified Professional

    Java Development Certified Professional

  • JavaScript Developer Certificate – W3Schools

    JavaScript Developer Certificate – W3Schools

  • Certified Artificial Intelligence Scientist (CAIS)

    Certified Artificial Intelligence Scientist (CAIS)

  • Oracle Database SQL Certified Associate

    Oracle Database SQL Certified Associate

Testimonials

Testimonials

Sweden

The solutions they’re providing is helping our business run more smoothly. We’ve been able to make quick developments with them, meeting our product vision within the timeline we set up. Listen to them because they can give strong advice about how to build good products.

Carl-Fredrik Linné
Tech Lead at CURE Media
Darrin Lipscomb
United States

We are a software startup and using Devox allowed us to get an MVP to market faster and less cost than trying to build and fund an R&D team initially. Communication was excellent with Devox. This is a top notch firm.

Darrin Lipscomb
CEO, Founder at Ferretly
Daniel Bertuccio
Australia

Their level of understanding, detail, and work ethic was great. We had 2 designers, 2 developers, PM and QA specialist. I am extremely satisfied with the end deliverables. Devox Software was always on time during the process.

Daniel Bertuccio
Marketing Manager at Eurolinx
Australia

We get great satisfaction working with them. They help us produce a product we’re happy with as co-founders. The feedback we got from customers was really great, too. Customers get what we do and we feel like we’re really reaching our target market.

Trent Allan
CTO, Co-founder at Active Place
United Kingdom

I’m blown up with the level of professionalism that’s been shown, as well as the welcoming nature and the social aspects. Devox Software is really on the ball technically.

Andy Morrey
Managing Director at Magma Trading
Vadim Ivanenko
Switzerland

Great job! We met the deadlines and brought happiness to our customers. Communication was perfect. Quick response. No problems with anything during the project. Their experienced team and perfect communication offer the best mix of quality and rates.

Vadim Ivanenko
Jason_Leffakis
United States

The project continues to be a success. As an early-stage company, we're continuously iterating to find product success. Devox has been quick and effective at iterating alongside us. I'm happy with the team, their responsiveness, and their output.

Jason Leffakis
Founder, CEO at Function4
Sweden

We hired the Devox team for a complicated (unusual interaction) UX/UI assignment. The team managed the project well both for initial time estimates and also weekly follow-ups throughout delivery. Overall, efficient work with a nice professional team.

John Boman
Product Manager at Lexplore
Tomas Pataky
Canada

Their intuition about the product and their willingness to try new approaches and show them to our team as alternatives to our set course were impressive. The Devox team makes it incredibly easy to work with, and their ability to manage our team and set expectations was outstanding.

Tamas Pataky
Head of Product at Stromcore
Stan Sadokov
Estonia

Devox is a team of exepctional talent and responsible executives. All of the talent we outstaffed from the company were experts in their fields and delivered quality work. They also take full ownership to what they deliver to you. If you work with Devox you will get actual results and you can rest assured that the result will procude value.

Stan Sadokov
Product Lead at Multilogin
United Kingdom

The work that the team has done on our project has been nothing short of incredible – it has surpassed all expectations I had and really is something I could only have dreamt of finding. Team is hard working, dedicated, personable and passionate. I have worked with people literally all over the world both in business and as freelancer, and people from Devox Software are 1 in a million.

Mark Lamb
Technical Director at M3 Network Limited
FAQ

FAQ

  • How AI will improve finance?

    AI will significantly improve finance by automating operations, better decision-making thanks to access to data, and personalized customer experiences. Through the use of machine learning and data analytics, financial institutions can process transactions more efficiently and with greater accuracy, reducing costs and minimizing errors. AI-driven fraud detection systems will bolster security, identifying fraudulent activity in real-time and protecting both institutions and their customers.

    Additionally, AI enables the creation of innovative financial products tailored to individual needs, improving access and financial inclusion. Ultimately, AI’s integration into finance promises not only to streamline operations but also to revolutionize customer engagement and risk management, setting new standards for the industry’s future.

  • What programming languages and frameworks are commonly used in AI for Fintech development?

    In AI for Fintech development, Python leads due to its extensive libraries such as TensorFlow, PyTorch, and Scikit-learn, which are crucial for ML and data analysis. As a financial service company AI software, we often use Java for its performance in high-volume transaction environments, with itsrobust libraries like Deeplearning4j for AI. JavaScript, with libraries like Brain.js, facilitates AI development in web-based fintech applications for real-time user interaction. Frameworks like Keras for deep learning simplify the development process by offering high-level neural networks APIs.

  • How does AI in Fintech ensure compliance with financial regulations?

    AI solutions in Fintech incorporate regulatory compliance by using natural language processing (NLP) to monitor and analyze changes in regulations automatically. AI fintech machine learning models are trained on historical compliance data to predict potential compliance issues in real-time transactions. These models are regularly updated to reflect the latest regulatory requirements, ensuring ongoing compliance. Additionally, AI systems can generate detailed audit trails of all financial activities, aiding in transparency and accountability during regulatory reviews or audits.

  • What are the expected developments in AI for Fintech over the next few years?

    Expected developments in the AI finance industry include advancements in predictive analytics for more accurate financial forecasting, personalized AI-driven financial advice for customers, and enhanced risk management through deeper learning algorithms. We also anticipate growth in AI-powered regulatory technology (RegTech) for more efficient compliance processes. Furthermore, the integration of quantum computing could revolutionize AI capabilities in fintech by significantly speeding up data processing and complex calculations.

  • Can AI in Fintech be integrated with existing banking systems?

    Yes, AI in finance sector is designed to integrate seamlessly with existing banking systems through APIs and microservices architecture. This integration facilitates real-time data exchange and process automation without disrupting existing workflows. Custom AI models can be developed to work within the constraints of legacy systems, ensuring that banks can leverage AI benefits such as improved customer service and fraud detection without extensive infrastructure overhaul.

  • What role does AI play in blockchain applications for Fintech?

    In blockchain applications for fintech, AI plays a crucial role in optimizing transaction processing, enhancing security, and providing predictive analytics for investment decisions. AI algorithms can analyze blockchain data to identify trends and patterns for better financial forecasting.

    Additionally, AI finance can improve the efficiency of consensus mechanisms in blockchain networks, reducing the time and energy required for transaction verification. It also enhances security by detecting potential fraud in blockchain transactions and smart contracts.

Contact Us

Schedule a Meeting to Discuss Your Goals

Well contact you within a couple of hours to schedule a meeting to discuss your goals.

Let's discuss your project!

Share the details of your project – like scope or business challenges. Our team will carefully study them and then we’ll figure out the next move together.







    By sending this form I confirm that I have read and accept the Privacy Policy

    Thank you for contacting us! You will get answer within the next 24 hours.