Artificial Intelligence Development Company

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Navigate the AI revolution and make artificial intelligence product development work for you regardless of your industry. Improve decision-making, reduce spending where possible, and tackle a range of other business objectives with Devox’s custom-made software.

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Services We Provide

Artificial Intelligence Development Services We Provide

Within our expertise, Devox provides artificial intelligence app development in several directions you’ll see below. Our primary expertise lies in finance- and retail-oriented solutions, as well as machine learning solutions development.

  • Machine Learning

    Make use of data preprocessing, feature engineering, model training, and validation: Devox can create predictive models using supervised, unsupervised, or reinforcement learning. We develop Python machine learning solutions leveraging frameworks like Pycaret, Matplotlib, TensorFlow, and PyTorch.

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  • AI Security Solutions

    Harness advanced threat detection and response capabilities, allowing systems to identify, analyze, and mitigate cyber threats in real-time. Your AI security system will learn from network traffic and user behavior, detecting anomalies that indicate potential security breaches with more precision.

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  • Smart AI Assistants and Chatbot

    Making AI-powered conversational tools that interact with users in a chat window. These assistants and chatbots will answer FAQs, provide customer support, and assist with online activities like shopping or booking. Engaging natural language processing to ensure conversations are as smooth and intuitive as possible.

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  • Facial Recognition Software AI

    Identify and verify individuals based on their facial features. Revolutionize your security, surveillance, and authentication systems by making use of various settings and streamlining identity verification processes.

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  • Predictive Modeling

    Forecast future events or trends based on historical data. Up your game in finance, marketing, and supply chain management. Predict market trends, consumer behavior, or potential system failures just as well, leveraging more informed decision-making and strategic planning.

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  • Recommendation Engines

    Make sure your clients get relevant and tailored recommendations that will result in more items in the cart or content viewed. We’ll deploy personalized recommendation engines that analyze user data, preferences, and behavior to suggest relevant products, services, or content based on your industry (retail, media, and e-commerce).

  • Predictive Analytics

    Utilize historical data and machine learning algorithms to forecast future trends, behaviors, and outcomes. Whether you work in finance, healthcare, and marketing, our software will let you gain insights into future risks, opportunities, and trends, enabling proactive decision-making and strategic planning.

  • Natural Language Processing

    Eliminate any language barrier and face no more difficulties in understanding, interpreting, and generating human language, facilitating interactions between computers and humans. Our clients in customer service, legal, and healthcare industries will enjoy automated customer support, document analysis, and information extraction.

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  • Neural Networks

    Let us mimic human brain operations through software to solve complex problems involving vast amounts of data. If you work in sectors such as automotive for autonomous vehicles, finance for fraud detection, and healthcare for diagnostic imaging, you’ll get advanced capabilities for pattern recognition, decision-making, and predictive analysis, driving innovation and competitive advantage.

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Industries We Serve

Industries We Serve

There’s a myriad of artificial intelligence business solutions that work for different industries. Read how AI can enhance your experience in the industry your business works in and get to know what deliverables Devox can provide for you.

  • Healthcare

    Leverage the power of deep learning and machine learning solutions to improve disease diagnosis and prognosis: AI algorithms can analyze medical images, such as X-rays and MRIs, more quickly and accurately than human radiologists, pawing the way to faster patient treatment. You can also improve personalized treatment: artificial intelligence has the power to analyze data from patient records to recommend personalized treatment plans.

  • Finance

    Make your fraud detection process bulletproof with AI systems analyzing transaction patterns. They will identify and flag unusual activities, reducing the risk of fraud this way, as well as ultimately making risk management better, assessing the risk profile of investments and credit applications more efficiently too. Last but not least, AI-powered algorithmic trading can execute trades at the best possible prices by analyzing market data at high speed.

  • Retail

    Cater to your client in several ways at once: offer personalized product recommendations based on their browsing and purchase history, while the chatbot based on artificial intelligence will provide momentarily customer support. AI and machine learning solutions will also boost your inventory management, helping predict inventory demand and optimizing stock levels.

  • Manufacturing

    Power up the predictive maintenance and ensure better quality control thanks to artificial intelligence solutions: AI can inspect and detect defects faster than people, predict equipment failures before they happen, and reduce downtime both in equipment and the ready product. Its algorithms will also help you optimize supply chain logistics, picking the most effective routes possible.

  • Transportation and Logistics

    Reach effective route optimization (manage traffic, navigate weather conditions, and assess vehicle performance) with what artificial intelligence has to offer. Thanks to its data gathering and processing, you will save time and fuel costs by picking better paths, reducing not only unnecessary spending but the carbon footprint as well. For logistics management, AI algorithms assist in predicting demand, managing inventory, and optimizing warehouse operations, letting you reach more accurate stocking, reduced overages or shortages, and efficient use of storage space and resources.

  • Agriculture

    Artificial intelligence developments will assist in crop monitoring and analysis, as well as provide predictive analytics for farming: while AI-driven drones can monitor crops for health, growth, and hydration levels, the agriculture intelligence software will predict weather patterns, pest infestations, and crop yields for your farmers, helping make informed decisions.

  • Education

    Boost your students’ learning experience and productivity thanks to AI-driven personalized learning, which adapts educational content to match each student's learning style and pace. Whether they need more support, a change in curriculum, or anything else, the teachers will have a chance to provide this early. Artificial intelligence also assists in administrative tasks like grading and attendance tracking, reducing the workload on educators and allowing them to spend more time on teaching and student engagement.

  • Travel

    Ensure your clients hit just the right spot on the globe or welcome your guests with the next-level hospitality enabled by artificial intelligence. AI will help personalize travel recommendations and itineraries based on customer preferences and past behaviors, enhancing the booking experience, while the hotels will make use of machine learning to improve the guests’ stay.

  • Real Estate

    Match the home to their new owner faster and easier: AI will let you analyze market trends and property valuations in real-time, offering clients data-driven insights for investment decisions. Use AI-powered virtual tours and chatbots to provide immediate, interactive property viewing experiences and customer support, improving engagement and conversion rates. You will also get a chance to leverage the full potential of real estate as an asset in terms of investments.

  • Government

    Consolidate your citizens, streamline governmental services for every party involved, and contribute to building a strong city and community with artificial intelligence. AI will help from automating administrative tasks to enhancing public safety with predictive policing and emergency response planning. Employ AI in analyzing large-scale public data for policymaking, ensuring resource allocation is optimized and citizen needs are met effectively.

  • Manufacturing

    Apply AI for predictive maintenance, identifying equipment issues before they occur to reduce downtime and extend machinery life. Tackle the issue of skill scarcity or custom design too: AI-driven robotics and automation processes will enhance production efficiency, quality control, and supply chain management, significantly reducing operational costs and increasing output quality.

  • Oil and gas

    Utilize AI to predict and optimize drilling locations, enhancing exploration efficiency and reducing environmental impact. AI will also help you monitor and manage operational risks, ensure safety protocols are maintained and your workers are safe, and optimize resource extraction and distribution to maximize yield and minimize costs.

Development Process

Our Artificial Intelligence Development Process

In artificial intelligence web development, Devox engineers combine the best practices of SDLC with the subtleties of constructing the AI model.


01. Problem Identification and Scope Definition

To provide a truly tailored solution for you, we go through a thorough initial consulting stage. First, we define the problem and task that AI needs to solve and set goals, understanding the context and environment where it will operate. During this process, we ensure that the AI system adheres to ethical guidelines and legal regulations. Our team strives to address any biases in the AI system and ensure fairness and transparency.


02. Data Collection and Preparation

Our engineers collect relevant data that the AI system that will be used for learning: depending on the application, we gather images, text, sensor data, etc. We clean and preprocess the data to ensure quality and usability, splitting it into training, validation, and testing sets afterward.


03. Choosing the Right Algorithm and Model

Together with you, we pick the type of AI model that suits your request and resolves your business pains (e.g., neural networks, decision trees, support vector machines). If it’s the machine learning application in question, the choice varies between supervised, unsupervised, or reinforcement learning based on the data and task.


04. Model Training and Testing

Our team starts training the AI model using the training dataset. This involves feeding the data into the model and adjusting the model parameters. We test the model with the validation set and adjust the model to improve performance, constantly evaluating its performance and accuracy.


05. Model Evaluation and Refinement

Evaluating the model’s performance using the test dataset and various metrics like accuracy, precision, recall, F1 score, etc. Depending on the results, the development team refines the model by fine-tuning parameters, adding layers (in the case of neural networks), or using more sophisticated algorithms.


06. Implementation and Integration

It’s time to integrate the newly-made artificial intelligence into the existing infrastructure. We ensure that the model can efficiently process new data and interact with other systems or users. Alternatively, we develop a separate application for your custom AI solutions.


07. Support & Maintenance

After deployment, we keep an eye on the AI system’s performance. We regularly update the model with new data, retrain if necessary to maintain accuracy and relevance, provide bug fixes, and simply stay in touch to scale the solution whenever you need it.

  • 01. Problem Identification and Scope Definition

  • 02. Data Collection and Preparation

  • 03. Choosing the Right Algorithm and Model

  • 04. Model Training and Testing

  • 05. Model Evaluation and Refinement

  • 06. Implementation and Integration

  • 07. Support & Maintenance



  • Artificial Intelligence

    • Caffe
    • Chainer
    • CNTK
    • DL4J
    • OpenCV
    • Theano
  • Machine Learning

    • Keras
    • Microsoft Azure ML
    • PyTorch
    • RapidMiner
    • Scikit-learn
    • TensorFlow
  • Web 3

    • Arbitrum
    • Chainlink
    • Ethers.js
    • EVM
    • Hardhat
    • Moralis
    • NOWNodes
    • OpenZeppelin
    • Truffle
    • Web3.js
Case Studies

Our Latest Works

  • health
  • fitness
  • marketplace

Health - and Community-Oriented Social Platform

ActivePlace is a wellness social network and media platform with a marketplace feature, dedicated to health, fitness, and an active lifestyle. It connects people with like-minded individuals, mentors, and businesses.

Additional Info

Core Tech:
  • Jenkins
  • Angular
  • Ruby
  • Figma


  • Backend
  • Frontend & Mobile
  • DevOps & Infrastructure
  • Third-Party Integrations

Skyloov Listing Project

A property portal for renting and buying, Skyloov offers a range of helpful features and mechanics to promote conscious and tailored housing choice.

Additional Info

Core Tech:
  • NET Core
  • MS SQL
  • ELK
  • Angular
  • React Native
  • NgRx
  • RxJS
  • Docker
  • GitLab CI/CD


  • website
  • management platform

Professional Event Ecosystem

Starting as a ticket selling website, Function4 grew to an all-in-one event management platform thanks to Devox’s help. It provides an ecosystem and data for comprehensive device setup, invitation and communication.

Additional Info

Core Tech:
  • Vue js
  • GSAP
  • Ruby
  • Azure


and over 200 our featured partners and clients

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


  • Clutch


  • The Manifest

    The Manifest

  • DesignRush



  • Clutch


  • Clutch


  • AppFutura


  • Clutch


  • GoodFirms


  • DesignRush


  • 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




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

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
Trent Allan

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

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
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
John Boman

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

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

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
Mark Lamb
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


  • What's the difference between AI and machine learning models?

    Artificial Intelligence (AI) is a broad field that encompasses the creation of intelligent machines capable of performing tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, and solving complex problems. AI includes various approaches and technologies, ranging from rule-based systems to advanced learning algorithms.

    Machine Learning (ML), a subset of AI, specifically focuses on algorithms and statistical models that enable machines to improve at tasks through experience. ML systems learn from and make decisions or predictions based on data, without being explicitly programmed for each task.

    The key difference lies in their scope and functionality: AI is the broader concept aimed at emulating human intelligence, while ML is a specific application within AI that provides systems the ability to automatically learn and improve from experience. While all machine learning is artificial intelligence, not all AI incorporates ML, as AI includes a wider array of techniques beyond just learning from data.

  • What regulations do you comply with when developing Artificial Intelligence?

    When developing Artificial Intelligence, several key regulations need to be considered to ensure compliance and ethical deployment.

    The General Data Protection Regulation (GDPR) in the EU sets stringent rules for data privacy and protection, impacting AI systems that process personal data. In the USA, the Health Insurance Portability and Accountability Act (HIPAA) is crucial for AI applications in healthcare, focusing on patient data security.

    The California Consumer Privacy Act (CCPA) offers similar data protection rights as GDPR for California residents. Beyond specific laws, there are AI-specific guidelines like the European Union’s Ethics Guidelines for Trustworthy AI, which emphasize fairness, transparency, and accountability. Additionally, sector-specific regulations, such as financial and export controls, also play a role in guiding AI development across different industries.

  • How does AI customization work in different industries?

    In our artificial intelligence development services, Devox orients towards industry-specific customization:

    For instance, in healthcare, AI can predict patient outcomes and personalize treatment plans. In finance, it streamlines risk assessment and fraud detection.

    For retail, AI enhances customer experience through personalized recommendations. We analyze your industry’s unique challenges and opportunities, tailoring AI solutions that not only integrate seamlessly but also propel your business forward with industry-specific insights and automation.

  • Can AI be integrated with existing business systems?

    Absolutely. Our AI solutions are designed for seamless integration with your existing business systems. Whether it’s integrating with legacy systems in manufacturing for improved process automation or syncing with CRM software in sales for enhanced customer interaction, we ensure a smooth and efficient integration process. This enables you to leverage the benefits of artificial intelligence without overhauling your current system infrastructure, ensuring a cost-effective and efficient transition to AI-enhanced operations.

  • How long does AI development take?

    It takes different time to develop simple AI implementations or MVP and large-scale AI projects. Projects like integrating pre-built AI services (e.g., chatbots, basic image recognition) into existing systems can take a few weeks to a couple of months. These solutions often use existing AI models and require less customization.

    For complex applications, such as developing advanced neural networks, autonomous vehicles, or AI with significant integration challenges, the timeline can extend to several years. These projects involve extensive research, development, testing, and compliance checks.

  • What ongoing support and maintenance do AI systems require?

    Applications in artificial intelligence require regular maintenance and support to ensure they continue to operate effectively. This includes updating the AI models with new data to maintain accuracy and relevance, especially as market conditions and customer behaviors change. Continuous monitoring is needed to quickly identify and rectify any performance issues or inaccuracies. Security patches and software updates are necessary to protect against new cyber threats.

    Additionally, as the business grows and evolves, the artificial intelligence in question may need to be scaled or adapted, requiring ongoing development support. Regular reviews and feedback from users can also provide insights for improvements and enhancements.

  • How does AI impact workforce dynamics and employee roles?

    Development of artificial intelligence, its implementation, and its day-to-day application influence the workforce in a multifaceted way. While it automates routine tasks, potentially displacing certain jobs, it also creates opportunities for new roles focused on AI management, development, and oversight. Employees may need reskilling or upskilling to work effectively alongside AI systems.

    On the other hand, recent artificial intelligence developments can augment human capabilities, allowing workers to focus on more complex, creative tasks that AI cannot perform. The introduction of AI in the workplace also necessitates a shift in organizational culture, emphasizing continuous learning and adaptability. Effective communication and change management strategies are key to navigating these transitions and leveraging AI to enhance, rather than replace, human work.

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