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.
Read moreArtificial Intelligence Development Company
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.
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Machine Learning
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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).
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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
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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
Technologies
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Artificial Intelligence
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Machine Learning
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Web 3
Bridging MedTech and MarTech for Enhanced Patient Engagement
Nabed is a SaaS platform at the crossroads of MedTech and MarTech. It enables caregivers to engage with patients using comprehensive, personalized educational content for better healthcare outcomes.
Additional Info
Lebanon
Real Estate Listing Project
A property portal for renting and buying, our client offers a range of helpful features and mechanics to promote conscious and tailored housing choices.
Additional Info
- NET Core
- MS SQL
- ELK
- Angular
- React Native
- NgRx
- RxJS
- Docker
- GitLab CI/CD
UAE
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
USA
and over 200 our featured partners and clients
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
Testimonials
FAQ
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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.
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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.
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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.
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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.
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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.
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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.
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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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