Industry-Specific Solutions at GITEX Europe 2025

At GITEX Berlin 2025, The Intellify will showcase its expertise in industry-specific solutions designed to drive efficiency, automation, and innovation across multiple sectors:

• Alris.ai – HR & Operations Automation (Official Launch at GITEX!) – AI-driven chatbots and agentic agents to automate recruitment, onboarding, and interview scheduling, transforming HR operations with efficiency and intelligence.
• InsureTech & Healthcare – Leveraging AI and cloud-native solutions to enhance user experiences, automate insurance claims and healthcare processes, and ensure security and scalability.
• Metaverse Sports Engagement Platform – AI-powered 360° Metaverse experiences that enhance fan engagement, virtual sports events, and interactive brand activations.
• Training & Simulation in Manufacturing – Industry 4.0-powered virtual training solutions that provide immersive learning experiences for industrial and technical workforce training.
• AR Navigation – Augmented Reality-powered navigation solutions for indoor and outdoor environments, enhancing real-time wayfinding, logistics, and accessibility.

Next-Gen Technology That Drives Innovation

Beyond industry-specific solutions, The Intellify is pioneering digital transformation in Berlin through:

• Artificial Intelligence (AI) & Machine Learning (ML) – AI-driven systems enhancing decision-making, automation, and operational efficiency.
• Industry 4.0 & IoT Solutions – Smart manufacturing and real-time data exchange for intelligent, automated, and connected industrial operations.
• Augmented Reality (AR) & Virtual Reality (VR) – Immersive experiences transforming business, consumer engagement, and training simulations.
• Cloud & DevOps Solutions – Scalable cloud integration and agile DevOps methodologies for optimized software performance and seamless deployments.
• Web & Mobile App Development – Expert-driven custom software, web solutions, and mobile applications (native & hybrid), leveraging AI/ML and emerging technologies to deliver high-impact digital experiences.
• Legacy Modernization & Digital Transformation – Upgrading legacy systems with advanced technologies, automation, and cloud migration to enhance scalability, security, and efficiency.
• Product Development for Startups – End-to-end product development, from idea validation to market-ready solutions.

Meet The Intellify at GITEX Europe 2025

“We’re excited to bring our AI-driven innovations to GITEX Europe 2025,” said Shravan Rajpurohit, CEO of The Intellify. “This is the perfect platform to connect with global tech pioneers, showcase our expertise, and explore game-changing collaborations.”

Visit The Intellify at Booth H2.2-C15, Hall 2.2 to experience live demos, expert insights, and the latest in AI, AR/VR, and cloud transformation.

About The Intellify

Since 2018, The Intellify has been at the forefront of AR/VR and Mobile App Development, delivering innovative, business-driven solutions. With a global presence across North America, Europe, Asia, Middle East, and Africa, the company has successfully delivered 250+ projects across 15+ industries for 100+ clients.

By leveraging rapid prototyping, AI-driven automation, and agile methodologies, The Intellify empowers businesses to accelerate digital transformation and redefine user experiences.

For more details, don’t hesitate to get in touch with us.

Media Contact

Shravan Rajpurohit
CEO, The Intellify
+1 302 803 4983
hello@theintellify.com

For more information about GITEX Europe 2025, visit GITEX Global Berlin.

 

Introduction

Artificial intelligence has become a cornerstone in modern business operations, driving efficiency and innovation. Conversational AI has gained significant traction among the various AI applications, enabling seamless interactions between humans and machines. 

The Intellify, a leading AI consulting services provider, recognizes the potential of conversational AI and has incorporated advanced chatbots like DeepSeek and ChatGPT into its offerings. This integration enhances customer engagement and streamlines processes across various industries.

Technical Insights into DeepSeek

DeepSeek, a Chinese AI startup founded in 2023, has developed innovative open-source large language models (LLMs) that have garnered significant attention in the AI community. 

Its flagship model, DeepSeek-R1, was developed at a fraction of the cost of comparable models, approximately $6 million compared to over $100 million for models like OpenAI’s GPT-4. This efficiency is attributed to novel training methods and a focus on optimizing computational resources.

DeepSeek-R1 employs a reasoning model capable of self-correcting without human supervision, utilizing reinforcement learning techniques to minimize human intervention. 

This approach allows the model to generate accurate answers by taking more time to “think” about responses, achieving performance comparable to leading models like OpenAI’s GPT-4.

Furthermore, DeepSeek has developed smaller models capable of running on devices like smartphones, retaining strong reasoning capabilities while being resource-efficient. 

This innovation opens avenues for deploying advanced AI applications on a wider range of devices, enhancing accessibility and usability.

Technical Insights into ChatGPT

ChatGPT, developed by OpenAI, is a well-established conversational AI model built upon the GPT architecture. It has been instrumental in various applications, from customer support to content creation. 

ChatGPT’s extensive training on diverse datasets enables it to generate human-like responses, making it a popular choice for businesses seeking to enhance customer engagement strategies.

The model is designed to facilitate human-like interactions, understanding and responding to natural language inputs. 

However, it is sensitive to tweaks in input phrasing and may sometimes produce plausible-sounding but incorrect or nonsensical answers. Addressing these challenges is an ongoing area of research in AI development.

Comparative Analysis: DeepSeek vs. ChatGPT

Performance and Accuracy

While both DeepSeek and ChatGPT are designed to facilitate human-like interactions, their performance metrics differ. According to a NewsGuard audit, DeepSeek’s chatbot achieved a 17% accuracy rate, trailing behind Western counterparts like ChatGPT. 

The audit revealed that DeepSeek’s chatbot repeated false information 30% of the time and provided vague or unhelpful responses 53% of the time, resulting in an overall failure rate of 83%. In contrast, ChatGPT demonstrated higher accuracy and reliability in its responses.

Cost and Accessibility

One of DeepSeek’s notable advantages is its cost-effectiveness. The development of DeepSeek-R1 was significantly less expensive than that of ChatGPT, making it an attractive option for businesses with budget constraints. 

Additionally, DeepSeek’s open-source nature allows for greater customization and flexibility, enabling companies like The Intellify to tailor the chatbot to specific needs. 

ChatGPT, while robust and versatile, involves higher development and operational costs, which may be a consideration for some organizations.

Integration and Application

The Intellify, as a chatbot development company, leverages both DeepSeek and ChatGPT to deliver customized solutions to clients. 

DeepSeek’s open-source framework allows for seamless integration into existing systems, providing a foundation for developing specialized conversational AI applications. 

ChatGPT’s advanced language capabilities enhance these applications, ensuring coherent and contextually relevant interactions. 

By combining the strengths of both models, The Intellify offers comprehensive AI consulting services that cater to diverse business requirements.

Future Trends and Developments in Conversational AI

Advanced Reasoning: AI models like DeepSeek and ChatGPT will improve contextual understanding and self-correction for more accurate responses.

Multimodal Capabilities: Future models will integrate text, image, and voice inputs for more interactive experiences.

Customization & Personalization: Businesses will get AI solutions tailored to specific industries for better efficiency.

Cost Efficiency: AI training will become more affordable, making high-quality models accessible to startups.

AI Ethics & Compliance: Stronger measures will be implemented to reduce bias, misinformation, and ethical concerns.

Autonomous AI Agents: AI-powered chatbots will execute tasks beyond conversation, automating workflows.

Real-Time Learning: Models will continuously improve through user interactions, enhancing adaptability.

The Intellify’s Approach to Conversational AI

At The Intellify, the focus is on harnessing the power of conversational AI to drive business transformation. 

By integrating advanced chatbots like DeepSeek and ChatGPT, the company enhances customer engagement, automates routine tasks, and provides insightful analytics. This approach not only improves operational efficiency but also delivers personalized experiences to end-users. 

Clients seeking to implement conversational AI solutions can contact us to explore customized AI strategies that align with their objectives.

Conclusion

In the dynamic field of conversational AI, both DeepSeek and ChatGPT offer unique advantages. DeepSeek’s cost-effectiveness and open-source flexibility make it a compelling choice for businesses aiming for customized solutions. 

Conversely, ChatGPT’s proven performance and versatility provide a solid foundation for a wide range of applications. The Intellify’s expertise in deploying these technologies ensures that clients receive solutions that are both innovative and effective.

FAQs

What is conversational AI?
Conversational AI refers to technologies that enable machines to engage in human-like interactions, understanding and responding to natural language inputs.

How does The Intellify utilize DeepSeek and ChatGPT?
The Intellify integrates DeepSeek and ChatGPT into its AI solutions to enhance customer engagement, automate tasks, and provide data-driven insights.

What are the benefits of using DeepSeek in AI applications?
DeepSeek offers cost-effective development and open-source flexibility, allowing for tailored conversational AI solutions.

Why choose The Intellify for AI consulting services?
The Intellify combines expertise in advanced AI technologies with a client-centric approach, delivering customized solutions that drive business success.

How can I get started with implementing conversational AI in my business?
To explore how conversational AI can benefit your business, contact us for a consultation and tailored strategy development.

Impact of Chatbots on Insurance

Insurance is a complex industry that requires human interaction. However, it is adapting to a changing audience. Chatbots for insurance agencies are not just productivity tools. They are disruptive technologies that are changing the insurance customer interface. Self-learning chatbots help insurance companies serve many customers at once.

As competition stiffens in this industry, we must adopt these advanced solutions. This blog will explore how AI chatbots can help insurance firms. It covers their use, examples, and costs.

Insurance AI Chatbot’s Market Insights

Recent research says that AI-driven insurance chatbots could hit $2.6 billion by 2030, up from $251.4 million in 2023. This is in conjunction with the projected 24% CAGR for the market in the forecast period. Our research shows that 74% prefer chatbots over humans for quick customer service.

Analysts expect the insurance chatbot market to hit $0.97 billion in 2025. It will grow at a CAGR of 26.2% from 2024 to 2025. Also, new AI chatbots could cut insurance fees by 40% by 2030. More than 3 out of 4 customers go to insurer websites to study policy offerings and premiums.

What Are the Advantages of AI Chatbots for Insurance Agencies?

AI chatbots are not only functional tools in the insurance industry but also much more. They are revolutionizing how insurance firms operate, from customer relations to claims management. Let’s look at the main advantages they provide.

Enhanced Customer Experience

As insurance becomes more intermediated and competitive, customer experience is key. It builds confidence and a lasting edge over rivals. AI chatbots are improving many company’s customer service. They provide quick, tailored help and answers, 24/7.

This interaction is a big improvement over the old method. These include calls and emails, where customers must wait a long time. Chatbots let customers ask questions anytime. They won’t have to wait for a response.

Think of a customer wanting to know more about their insurance claim or choosing a policy. Another form of communication is an AI Chatbot for insurance agencies. They can provide needed info in a chatty way. It can support complex queries.

It might provide the consumer with the policies he or she is interested in. They can enter their risk level, location, and budget into the chatbot. It will then recommend the right policies to buy.

Also, AI talk-to-type has feeling algorithms. They make customer relations more human. This is important in health and life insurance. Emotions and trust are vital there. It’s good to let customers express their concerns.

It’s important when discussing some topics, like medical insurance claims. The Intellify’s solutions ensure that insurance chatbots are both fast and emotionally smart. This builds trust and loyalty among policyholders.

Streamlined Operations

Insurance firms face many challenges. They are both cumbersome and mechanical. They include: Claim processing; Policy maintenance; Customer relations; and Documentation authentication. AI chatbots can help by acting as assistants. This will free human agents to handle more important work.

For example, in claims processing, the AI-driven insurance chatbot may guide the user from filing a claim to its approval. The chatbot checks the uploaded documents for errors. It aims to reduce mistakes and long wait times. These are time-consuming tasks. If automated, insurers could process claims faster. This would improve turnaround time for clients.

The Intellify offers advanced chatbots in insurance. They are built to work with current insurance systems. They streamline back-end processes while following regulations. By delegating simple tasks to chatbots, teams can focus on higher-level work.

Also, integrating the insurance chatbots into the org system can improve internal communication. Employees can easily access the policies, client histories, and legal requirements. This saves time in searching for information. It also ensures employees have the latest info. This will let insurers work faster and more efficiently. It will improve service delivery to clients.

Cost Efficiency

Another factor that makes AI chatbots in the insurance industry appealing is that they cut costs. Automated models can now perform tasks once done by humans. This will save time and money. Chatbots can handle up to 80% of customer inquiries.

These are inquiries that would usually be addressed by human agents. This reduces the need for many agents. It may only be cost-effective for companies with fixed demand. But, it will help companies with high demand, like during the festive season or after a major claim.

Also, chatbots for insurance agencies can help avoid needing to hire new staff during peak workloads. Chatbots are very efficient at assessing many questions. For example, during disasters, policy renewals, and open enrolments. They maintain service quality while controlling costs.

This scalability lets the insurance firm provide great customer service. It can do this with a reasonable use of resources and without spending a lot of money. Insurance software development can further optimize this process, ensuring smooth integration of AI-driven tools into existing systems.

What Are the Applications of AI Chatbots in Insurance?

AI chatbots for insurance agencies can be useful in many ways. Now, let’s look at the key areas where chatbots can benefit your business.

Policy Recommendations and Purchases

Chatbots can help your company by simplifying policy recommendations and purchases for consumers. Using Insurance chatbots, we could study customers’ needs, preferences, and risk profiles. Then, we could recommend policies that best suit them.

For instance, a customer wanting to buy home insurance can use a chatbot. It will ask about the area, the house’s location, and the desired coverage. The customer’s answers determine the chatbot’s policy options. This makes it easy for the customer to decide quickly.

This engagement boosts the customer experience. It also makes them more likely to do business with the organization. Chatbots can persuade customers to buy by giving quick, helpful answers.  They do this by applying relevant policy recommendations that match the customer.

Claims Management

Claims management is a complex and time-consuming process for insurers. AI chatbots can simplify and speed it up. The chatbots can check if clients submitted and verified all claims papers. They will do this through interactions with customers as the process is ongoing. This cuts the number of praise-filled interactions. They slow the claims process and hurt customer satisfaction.

Also, chatbots can update customers on their claims. There will be no need for follow-up calls or emails. Automating this process speeds up claim approvals. This is vital when a customer needs the service. The Intellify’s chatbots simplify this. They help process claims with few errors.

Customer Support

Routine customer inquiries are a tough nut to crack for insurance sales firms. The Chatbot for insurance agencies can quickly address and answer such queries. They are for the customers of the insurance policy on premium and coverage. It can also answer advanced questions by passing them to human agents if needed. This approach gives clients an instant response. It uses humans to handle complex questions.

AI chatbots in your customer service will help consumers faster. This will make them more loyal.

Fraud Detection

Due to the high risk of fraud, insurance firms have to be on the lookout for it; with the help of AI chatbots. Chatbots can find fraud patterns in customer contact and claims data. If the chatbot finds multiple claims for the same accident or inconsistent data, it can tell the insurers to investigate.

It uses AI to detect fraud, offset insurance losses, and secure the claims process. AI chatbots in insurance also have a fraud detection alarm. It uses advanced algorithms to predict and prevent fraud before it becomes a big issue.

Challenges of Implementing AI Chatbots in Insurance

This smart tech in insurance systems has its rewards. However, there are challenges worth noting. Below, we look at some of the challenges insurers encounter and ways of dealing with them.

Primary Research Issues: Data Privacy and Compliance

Customers trust insurance companies with their information. So, the data must be protected. So, it is vital to ensure that every AI chatbot can follow data privacy laws like the GDPR and HIPAA. The Intellify also ensures its AI chatbots comply with data protection laws. It does this by using encryption and other security measures to safeguard data.

Organizations cannot meet customer expectations and demands

Customers expect customized and prompt service in all sectors and domains. Expectations for AI chatbots must be high. They should match the experiences of sectors like retail and banking. It demands that insurers use better tech, like NLP, to improve these experiences.

Often predefined interfaces have to be used for integration with existing systems.

Some insurance companies still use old systems. They can be ineffective with AI chatbots. To implement these chatbots on such archaic systems, one has to spend a lot of time and resources. But, it’s better to integrate AI into the business in the long run than in the short term.

What Are the Future Trends in AI Chatbots for Insurance Agencies?

There are great prospects for AI chatbots in insurance. New tech is always being introduced. Some of the ai trends to watch out for include:

Voice-Activated Chatbots

In the future, as voice recognition improves, insurers will use a voice-activated chatbot. These chatbots will let customers talk to their insurers without using their devices. They can report losses, make inquiries, and buy policies while doing other tasks.

AI-Driven Predictive Analytics

Using AI’s data prediction, insurance chatbots will suggest solutions before customers ask. It means that chatbots will act on their own. They will analyze customer activity and market trends. They will offer solutions in real time.

Blockchain Integration

Blockchain could change how people view insurance claims. It can reduce risks and improve the claims process and transactions. The integration of chatbots and blockchain may enable some benefits. Blockchain can enhance chatbots. This can speed up claim processing, improve fraud detection, and boost data security.

AI Chatbot Development Cost Analysis

The cost of building an AI Chatbot for insurance agencies depends on the solution and its functions. A basic chatbot — or one designed to respond to a limited number of questions can cost as little as $10,000 to $30,000. However, features like NLP and machine learning will be costly. Integrating an advanced chatbot with other systems will add $50,000 to $150,000 or more.

The process works like this: requirements, design, testing, and deployment. I guarantee that its chatbot solutions will meet your business’s exact requirements. They are flexible and can be integrated into your current systems. The high initial cost is worth it. The long-term savings and happier customers make it a great business deal.

Maintenance and improvements are also a concern. Most prefer them to be ongoing, not at fixed intervals. AI chatbots in insurance must often be reprogrammed due to constant changes in rules. Many improvements to features, training, and data processing would raise costs. But they are needed for the chatbot to be effective in the fast-changing insurance market.

Conclusion

Insurance Chatbots could be a real breakthrough in the insurance industry. However, for any chatbot to succeed, the right technology must be at the centre of its action. That’s where The Intellify comes in. We offer a cloud-based flexible implementable chatbot system suited for your needs depending on the operations of your business.

It is one of high efficiency, great customer experiences, and flexible operations. Insurance chatbots can learn and adapt. It is now more accessible, friendly, and efficient. The chatbot system will improve the insurance experience. It will create a more connected, customer-focused future.

Start building your insurance AI chatbot with us today. Contact us to our team to learn more.

Build a Secure Medical Chatbot

Healthcare chatbots have rapidly emerged in the past few years. They have changed how patients and doctors interact. The rise of generative AI consulting and HIPAA rules makes medical chatbots harder to build. But they are now much more beneficial. This blog will provide a step-by-step guide to help you create a medical-grade chatbot. It must comply with current healthcare standards. It should deliver the best to patients while protecting their data.

Key Statistics: AI in Healthcare

The AI in healthcare market was worth $22.4 billion in 2023, up from $6.7 billion in 2020. That’s a 233% increase over three years. Experts project that it will reach about $164.16 billion by 2030. It will grow from $14.92 billion in 2024, a CAGR of 49.1%. AI and machine learning could cut healthcare costs by $13 billion by 2025. The Asia-Pacific region is expected to grow the most, with a 42.5% CAGR from 2023 to 2030.

How AI Chatbots Are Transforming Healthcare?

One of the biggest AI trends in the healthcare sector is medical chatbots. Artificial intelligence in healthcare is helping patients with its growing technology. They provide prompt aid, automate tasks, and give personalized health advice. The rise of medical chatbots has eased the burden of patient care. They have also improved health LEXs by providing quick access to patient data.

Medical chatbot development services fall into different categories. Some are simple. It depends on various types of AI in Healthcare. They can schedule appointments, answer medical questions, and provide mental health support. The chatbot can engage with patients at any time. Conventional healthcare systems failed to offer this. This can be especially good for patients in rural areas. They often have less access to healthcare facilities.

Medical chatbots, however, are not just an interface but much more. All these systems use machine learning algorithms. They can learn and adapt. Chatbots are evolving. They can now better decode complex medical issues and provide patient-specific guidelines. Their constant improvement makes them very useful to healthcare providers. They want to create a personalized and efficient healthcare solution.

In 2025, potential improvements to medical chatbots include:

1. Enhancing their abilities
2. Adding generative AI

This would make interactions more like those with real people. You must know the specific techniques used in these chatbots. Whether your organization is in healthcare, tech, or another field doesn’t matter. They will be key to fully exploiting them in the next few years.

How to Build AI Healthcare Chatbot?

Creating a medical chatbot is complex. It requires preparation. It also needs reliable technology and compliance with healthcare laws. Let us take a closer look at the main components with which the medical chatbot is developed.

1. Understanding the Imperative as well as Applications

The first step in designing a medical chatbot is to define its function and uses. Will your chatbot call to make appointments? Or Help with therapy? The chatbot can cater to patients, doctors, or admin staff based on who to reach.

For example, patient-facing chatbots will do several things. They will triage, book appointments, and remind users to take their meds. Healthcare professional-facing chatbots will support treatment decisions and help manage patient records. Defining the use case up front will guide the development. It will ensure the final product meets these goals.

2. Application of AI and Machine Learning Languages

In the centre of any medical chatbot, there is artificial intelligence in healthcare or AI for short. AI lets the chatbot capture natural language inputs and give friendly replies. Unlike other AIs, machine learning lets the chatbot know medical terms.

There are two big concerns with developing a medical chatbot. They are its ability to interpret medical info and to communicate. The chatbot developed will be for patients with diabetes. It must understand terms like “insulin level” and “hypoglycaemia.” It should then provide useful suggestions based on the patient’s input. Generative AI can enhance healthcare by creating tailored responses to patients’ questions.

3. Ensuring HIPAA Compliance

Ensuring HIPAA compliance is key in designing any healthcare tech, including medical chatbots. It is used by the top AI development companies. These chatbots will handle patients’ personal health information. So, they must meet the country’s privacy and security standards.

HIPAA-compliant software development has strict security requirements. These include data encryption, cloud storage, and multi-factor authentication. Following these rules can help create a compliant app. Also, the developers must ensure the chatbot’s structure is secure. It must save the patient info from every conversation. For instance, healthcare providers must restrict access to patient data. They must also check the security systems patented by the chatbot.

Another new feature of healthcare chatbots is HIPAA compliance in Gen-AI medical chatbots. As deep learning models gain popularity in health, they must follow privacy laws. This will be key to keeping patient trust and avoiding legal problems.

4. Benefits from the Retrieval-Augmented Generation (RAG)

A promising new direction for conversational AI is RAG as a service. It combines generative models with the ability to retrieve information in real time. RAG allows the Medical Chatbots to provide relevant, timely information. It uses credible medical data from standard sources.

AI-powered healthcare apps, a.k.a. The medical chatbot needs to answer some important, and specific medical questions. A RAG-trained chatbot might use the latest research to better answer a patient’s questions. It could also use a pharmaceutical database. This approach boosts the final result’s precision. It also increases patients’ confidence. They trust the chatbot’s information to be both timely and scientific.

5. They Must Incorporate an Interface for Easy Users

This brings the interface component as being key in realising the success of the chatbot. The goal of friendly design in this medical chatbot is to help patients of all ages and IT skills engage with it. In AI-powered healthcare apps, accessibility is crucial. Users may be upset by an ailment. They may also struggle to navigate a complex website.

Your chatbot must have a clean, well-designed conversation flow. The layout should be user-friendly and motivate users throughout the chat. Also, the chatbot should easily combine with other healthcare systems. This includes EHRs and patient management systems. It will ensure continuity of care for patients and clinicians.

Top AI development companies are also developing targeted AI models. User interaction is a key focus. One such company is The Intellify, which creates tailored AI products. You can use their experience. You’ll get a chatbot that works well and is easy to use.

How Healthcare Chatbots are Transforming Patient Care?

Healthcare chatbots are not just tools for routine tasks. They can help rethink patient management. They can also provide support and recommendations at the click of a button. The impact of healthcare chatbots can be seen in several key areas:

1. Overcoming an Administrative Burden

A key benefit of medical chatbots is less admin work for healthcare workers. It saves time for doctors and nurses. They can now spend more time with patients. They no longer need to book appointments or remind patients about follow-ups.

Chatbots also work well for passing info between patients and caregivers. A patient chats, asking about symptoms or medications. He/she gets the right info from his/her history or is given instructions, without asking the doctor.

2. Enhancing the Reception of Patients to the Health-Related Services

First, chatbots are available 24/7. They enable patients to get healthcare advice or book doctor appointments. This matters most to users, especially those in rural areas. They may struggle to access some health care. Also, it means we can answer patients’ questions immediately. It’s more convenient for them.

An example is in mental yoga where the chatbots may act as the initial contact for distressed patients. Live counselling through an AI system, saves lives when they are needed most.

3. Fortifying Chronic Disease Treatment

Chronic diseases are well navigated by medical chatbots, and their use has been on the rise as of late. Some diseases, like diabetes, asthma, and hypertension, allow patients to use chatbots. They can track their condition, take doses on time, and check long-term results. This system improves patient compliance and finds issues early.

The Intellify has helped to establish chatbots for the health sector. This is especially true for diseases that require self-care. Healthcare organizations also benefit from AI-based solutions. They create care plans that change, based on the patient’s condition.

How Is AI Transforming Medical Chatbots?

Generative AI has revolutionized healthcare. It has advanced apps for creating medical chatbots. Chatbots can use generative AI to appear and sound human. They should also provide relevant, emotional answers to natural language questions.

1. PCM helps providers deliver healthcare that meets each patient’s needs

In Artificial intelligence in healthcare apps, the algorithm lets the system answer using the patient’s history, symptoms, and likes. For example, if a diabetic patient wants a diet plan, a generative AI chatbot will provide one. It will consider their diabetes type, glucose levels, and medications.

This level of personalization boosts patient satisfaction. They feel understood and that their needs are met. It also improves efficiency for health care professionals. They get to know their patients better.

2. AI-Powered Decision Support

Chatbots can automate self-care. They can also help healthcare practitioners make decisions. Generative AI chatbots can connect to EHRs and clinical databases. They can give doctors a real-time view of their patients. This helps doctors make better patient care decisions.

A chatbot could, for example, get a patient’s symptoms. It could then use past experiences to suggest possible disease causes or treatments. It can help in extreme conditions. Vital information can mean the difference between winning and losing.

3. Analytics of Disease Forecasting

One of the most promising uses of generative AI in healthcare is data analysis. It can find patterns in large datasets that doctors often miss. Generative AI chatbots can warn of potential health problems in patients. This allows for efforts to minimize their impact.

How Much Does It Cost To Develop A Medical Chatbot?

Creating a medical chatbot may be a huge project. It could take a lot of time and money. But, it could be a great investment. It might improve patient outcomes, reduce costs, and increase access to care. The cost of developing a medical chatbot depends on several factors: 

1. Technology Stack

The cost showed that the right tech stack is key to low medical chatbot development costs. If you are using complex models like generative AI or RAG, then the cost will be high since they are complex.

2. Compliance and Security

Of course, a HIPAA-compliant medical chatbot would cost more. You’d need to spend on safety measures, data encoding, and audits to protect clients’ data. This raises the cost a little. However, it avoids legal issues and maintains patients’ trust.

3. Customization and Features

More customization of a chatbot will raise its development cost. A simple HL chatbot with no complex features will be much cheaper than a complicated one. That would have advanced AI, multiple interfaces, and real-time data modelling.

Conclusion

The healthcare of the future is completely synonymous with artificial intelligence. New tech will create amazing solutions for the apps. AI apps in diagnosis, therapy, and healthcare are the future of the industry. Most businesses seek remote, dedicated developers.

They want to build AI-powered programs, like virtual nurses, scanners, and robotic limbs. The Intellify specializes in leveraging cutting-edge technologies to create exceptional healthcare software solutions. We can seamlessly integrate advanced tech into healthcare apps.

Looking for secure, efficient, and seamless AI-powered healthcare apps? Then The Intellify is your trusted partner for top-tier healthcare software development. Our premium healthcare apps aim to maximize efficiency, secure data, and boost profits.

For top-tier healthcare ai software development solutions that prioritize security and efficiency, contact us today and let us help you transform your healthcare services with AI-powered innovations.

AI in Mobile Apps: Enhancing Efficiency and User Engagement

AI has greatly transformed in recent years. It now powers many existing technologies. Today, it is a tool that enhances user experiences, especially on mobile apps. AI in Android and iOS has boosted efficiency. It uses machine learning, deep learning, and natural language processing, among other things. They make apps more interactive and dynamic. They can now respond in a personalized way.

By 2025, AI had created unique mobile apps for users. Examples include shopping, health tracking, and mental health apps. This blog will describe the top 10 best Artificial Intelligence Ideas for Mobile Apps. They are ruling the new world of Android and iOS. We aim to lead artificial intelligence mobile application ideas with AI app development company like The Intellify.

AI Market Insights

AI is revolutionizing various industries. AI-powered diagnosis in healthcare helps doctors.  In June 2024, around 230 million people used it. Analysts expect this number to grow, boosting the market revenue to over $2 billion by the end of the year. Analysts expect the market to continue growing at a rapid pace, reaching $33 billion by 2030. This represents a 51% annual growth rate. Analysts project a 26.9% CAGR for the global mobile AI market from 2023 to 2030.

10 Innovative Artificial Intelligence App Ideas For ios/Android

1. Mobile Applications for Personal Finance with AI Elements

This app is a top creative AI idea for 2025. It helps manage personal finances. Budgeting is a field that most individuals struggle with managing. Yet, AI personal finance apps keep users informed. They know how much they are spending and how much to spend, and they get financial tips.

AI-based personal finance apps leverage fintech software development to track spending. They test income and expenses and then suggest a budget. They do this based on the user’s financial situation. They tell you how to save money, where to cut spending, and where to invest. Some finance apps use AI. They can predict financial troubles by analyzing past spending. They also recommend ways to avoid those troubles.

A top AI Personal Finance App would merge all bank accounts, credit cards, and investments. It would give a user a complete view of their financial wellness. It could remind users about due bill payments. It could recommend ways to save money. It could even help them invest, depending on the markets.

2. Smart Health and Fitness Mobile Apps

Health and fitness apps are now more popular. AI has made them better. Health and fitness apps can track the user’s health and performance. They can measure heart rate, calories burned, and sleep.

For instance, an AI fitness app can create a workout plan. It will suit a user’s body type, fitness level, and health goals. It can track a user’s experience over time. Then, it can recommend changes to the workout plan to encourage the user and help them stay committed to it. Artificial intelligence algorithms can analyze movement via the phone’s camera or other wearables. They can then correct form and technique in real-time.

AI-powered health apps can do more than track fitness. They can serve as health advisors. They can remind users to take their meds and book doctor appointments. They can also give health advice based on real-time data. Healthcare software development has enabled wearables, the latest tech innovation, to integrate AI in health data successfully.

3. Mobile Apps for Language Learning Based on Artificial Intelligence

Self-improving language learning applications is an innovative idea for an AI mobile app development for 2025. There are still apps for language learning, like Duolingo. They create a fun, game-like environment for learning a language. But, the use of AI will take it to another level. These apps use NLP and ML to create lessons based on learning preferences.

An AI voice recognition app might give users instant speech feedback. It would check their pronunciation and grammar. Also, the app could mimic chats with virtual language partners. It would allow the user to practice in real-life situations. Over time, the app improves its lesson translations. It adapts to the user’s weaknesses to help them learn.

An AI language app could identify a user’s proficiency in several languages. It could then show their progress in learning those languages. Also, the app could simulate chats with virtual language partners. This would let users practice their skills in real time.

An AI-powered language app could do something unique. It could detect a user’s fluency in multiple languages. Then, it could offer personalized, comparative learning paths. The app could learn from the AI if the user is fluent in English and learning French. So, these apps are vital for many people learning a new language. Companies like The Intellify are at the forefront of developing them.

4. AI-Powered Virtual Shopping Assistants

E-commerce has grown quickly in recent years. AI-powered virtual shopping assistants are a top idea from this boom. These Artificial intelligence apps for Android and iOS can help users choose products. They will use the users’ preferences and purchase history. They can help determine what product to offer, what to suggest, and what a customer might buy next.

An AI shopping assistant could be built into top e-commerce sites like Amazon or Shopify. It would give users more than just a list of recommendations. They could use AI to monitor trends in fashion and electronics. This would keep the user up to date on the latest gadgets and accessories.

They designed smart shoppers to improve clients’ experiences using AI. Additionally, virtual try on app development can enhance the shopping experience by allowing customers to visualize how products will look before making a purchase. AI apps are revolutionizing online shopping for apparel, gadgets, and furnishings. They do this without making consumers search too hard to find the products they need.

5. Mobile App with Artificial Intelligence for Mental Health

Other industries where AI has made huge improvements include the mental health industry. Many mental health apps use AI. They offer instant therapy via chat, mood logs, and guided interventions. Such apps may then use machine learning. It can analyze a user’s behaviour and reveal their emotional state.

An AI mental health app can spot signs of anxiety or depression in a user’s entries, usage patterns, or voice tone. The app could then suggest ways to deal with stress. It could offer a few breathing techniques or refer to official help if needed.

AI chatbots could provide virtual therapy. They could deliver CBT techniques to users. They would help users with anxiety and stress exercises. Since the AI monitors user inputs, the advice or help given is as personalized as possible.

6. Home Automation Mobile Apps Powered by AI

AI-powered home automation apps are now a necessity for smart homes. These include lights, thermostats, security cameras, and appliances. Users can control them via voice commands or automated routines.

An AI home automation app could learn a user’s habits. It would then auto-adjust settings to match their preferences. For example, if the app knows the user left home, it will lower the thermostat. If it’s bedtime, it will dim the lights. Also, these apps can work with virtual assistants, like Alexa and Google Assistant. Users can then control their homes with simple voice commands.

AI home automation apps, besides convenience, improve security. They learn a household’s routine and alert users to unusual activity. The app could send alerts if suspicious people appear on security cameras or if a door opens for no reason. Companies are pioneering AI-driven smart home systems. They aim to give users an easy, natural way to control their smart homes.

7. AI-Based Travel Planning Mobile Apps

Travel planning can be time-consuming. But AI travel apps make it more efficient and enjoyable. These apps can tell you where to go and how to see it. They can even book a place to stay based on your past likes. AI algorithms can use a user’s travel history. They can then suggest personalized hotels, restaurants, and activities.

Another way it could work is with an AI travel app. It would monitor flight prices in real-time and alert users of deals. The app could suggest real-time recommendations based on the user’s location. It could recommend local attractions or dining options.

AI can process vast amounts of data and give tailored travel advice. This makes trip planning much easier. It could also enable voice interactions using natural language. AI travel apps, like those of The Intellify companies, aim to give users a simple, custom trip.

8. Educational Tutoring Mobile Apps Powered by AI

Another idea to develop an artificial intelligence app development company is tutoring apps, which will change student learning. They offer personalized support. These apps use machine learning to find a student’s learning style. They then provide lessons based on that.

An AI tutoring app’s virtual tutors could help with math, science, and languages. They would do so in real time. The app could analyze a student’s progress. It would find their weak areas. Then, it would give them targeted exercises and lessons to improve.

The app could provide real-time feedback on assignments. It can have voice recognition for language learning. Also, a virtual classroom to chat with an AI avatar. They create interactive, personalized learning experiences for students.

9. AI-Powered Content Creation Mobile Apps

Another area where AI is having a huge impact is in content creation. AI content creation apps can save you time. They can help you create high-quality content, images, or videos with little effort. These apps use machine learning to analyze user input. They then provide high-quality content that meets users’ needs.

Top bloggers, marketers, or social media managers could use an AI app to create SEO content. It could also give real-time feedback on the content’s grammar, style, and tone. This would make it polished and engaging.

They are especially useful for businesses that have to produce a lot of content in short order. Companies like The Intellify are making AI tools for content creation. They let users create high-quality content with minimal editing.

10. AI-Based Dating Apps

AI has also taken over online dating, making the experience a little more personal. AI-powered dating apps use machine learning to analyze user behaviour and preferences. They recommend better matches by processing interactions.

An AI dating app can do more than match profiles. It can use users’ conversations, interests, and body language to create deeper connections. Also, AI chatbots could start chats or suggest date ideas based on shared interests.

Conclusion

Artificial intelligence offers a world of possibilities for creating innovative applications. From language translation apps to code generation tools, the potential is vast. However, successful development requires careful consideration of your goals, the appropriate AI model, and the limitations of the technology. AI is changing the mobile app industry. It helps businesses create cutting-edge solutions for various sectors.

The Intellify is an AI app development expert. It has a track record of creating cutting-edge solutions. We have added advanced AI features to existing apps. We have also developed custom AI-based mobile apps. If you have an app idea, we can help you bring it to life. We are a top company in AI mobile app development. It offers solutions that help clients stay ahead of the competition.

Contact us today to discuss your project and explore how AI can enhance your user experience.

MVP in App Development for Startups

Today’s app market has many unique concepts. So, it is critical for enterprises. Building a large app from an unproven idea can be risky. There is little real-world validation for such ideas. That is where an MVP comes into play. An MVP allows you to enter the market with your app idea without risk.

You can verify its feasibility and get feedback. It saves you time and money. In this blog, you’ll read about a custom app development company that will cover how to create an MVP, the MVP process, and why it leads to more successful apps.

Essential MVP Statistics Every Startup Must Know for Success

An MVP is a basic version of a product. It helps startups test their ideas with real users and get feedback. This process usually takes four to six months and costs between $10,000 and $200,000.

Many startups fail due to their lack of understanding in utilizing an MVP. Launching an MVP is key for startups to succeed. It helps them improve their product and understand customers’ needs.

What Does MVP Stand For When It Comes To App Development?

An MVP is a raw version of your app. It has only the necessary features and meets the app’s basic goals. This lets you gauge the market for your product. You can do this before spending time or money on designing other, less useful features.

In other words, an MVP is not a complete product. But it has enough features to attract early customers and gather useful feedback.

In other words, an MVP aims to solve the app’s core issue. So, it should have only the essential features. Like, if your e-commerce app is being made, then the first version can only have a list of products or a way to buy them.

It can’t have features like a wish list or customer reviews. This way, the businesses can adapt to what is essential and test the app’s market fit and viability in a live setting.

This doesn’t imply that a team builds an MVP with poor standards. That is not true; it is more about the basic understanding of what features matter the most. The Intellify app development company uses MVP strategies to test ideas in the market.

They aim to do this in a timely and effective manner. This lets the companies fix the features users dislike. They want to meet users’ requirements before spending more on other features.

Why Build an MVP?

Building an MVP to test out your app idea is a great approach to market research. Today, time is crucial. An MVP is a way to launch a basic version and assess users’ needs without a full product.

MVP stands for the minimum viable product. Its goal is to give the client a tool that solves their main issue with an app. This lets businesses learn what users want and need. They can then deliver changes without delay and avoid building unnecessary features.

Also, an MVP enables the venturer to penetrate the market before the competitors do. This is true in industries like fintech software development and e-commerce. There, speed can be a major competitive edge. An MVP ensures your app is scalable. It will evolve with real user needs, not assumptions.

For startups especially, creating an MVP minimizes financial risks. This is better than spending thousands on an app that your audience may not want. This is why we at The Intellify encourage creating an MVP. It helps you not only build an app but also improve it to fit market needs.

Key MVP Characteristics In App Development

MVP app development is, thus, contrary to typical app development. The latter aims to maximize value with minimal time and resources. Several characteristics define an MVP, making it an efficient way to test your app idea:

1. Core Functionality

The MVP aims to solve the customer’s issue. It focuses on the bare minimum to achieve that. For a food delivery app, your MVP would include ordering and a simple delivery status. It would not include payment or restaurant ratings. You can build a minimum viable product in a short time and test it with real users.

2. User-Centric Design

An MVP is minimal. But it must focus on user experience. The design should be user-friendly and help with straightforward navigation of the app. The core functionality can work, but the user experience may be poor. This could lead to negative user reception, even if the idea is good.

3. Scalability

An MVP aims to deliver the fewest usable features. But we should not build it with this mindset. You must ensure the app’s architecture can support new features as you build it. It also makes it easy to update the app for users’ needs without major changes to the platform.

4. Feedback Loop

The main aim of an MVP is to gather user feedback. The design and development should stress-test the users. They should then give feedback on what worked and what didn’t. This feedback loop is even significant in directing future advancement activities.

Every MVP project at The Intellify values these characteristics. It ensures that it works at scale, is user-friendly, and informs future improvements.

Steps to Build an MVP?

The MVP’s most important steps in app development are as follows. Each focus on creating a useful app for its target audience while keeping costs low. Below is an overview of the MVP app development process:

1. Market Research and Idea Validation

As mentioned, confirm the market before making an MVP. This means knowing your target market, studying competitors, and finding gaps in apps. This change reduces the risk of releasing a product that lacks end-user appeal.

2. Feature Prioritization

Now, once market research confirms your product idea, focus on the MVP’s features. Before moving on to the MVP, identify and rank features.

They should help make your product more valuable. In this process, we often create two lists. The first is a list of key features. These will form the basis of an MVP (minimum viable product).

For example, in a ride-hailing app, the MVP can only call a taxi and pay for the ride. You can add features like rating and chatting with the driver later. This helps you launch a working product early without spending much.

3. Choose the Right Tech Stack

Picking the right tech stack is key to building an effective MVP. Your choice of software will affect your app’s development time, efficiency, and expandability. Flutter app development is a trending choice for MVPs.

It lets you build cross-platform apps from a single codebase. This cuts development time and costs. So, it’s good for startups and any business that can’t spend much.

The Intellify advises businesses to build MVPs using Flutter. It can create apps for both platforms with little effort. It also ensures a quality product. Additionally, Flutter for MVP Development has many pre-made widgets. They make apps look good without needing a complex design.

4. Prototyping

It is better to prototype the MVP before deep development. Prototyping is a preliminary model of your app. It lets stakeholders and users engage with the app before coding. Finding problems with the user flow and design is crucial now.

Prototypes also provide early feedback from target users. This feedback can help shape the final MVP. Most of the feedback gathered now is useful. It helps prevent or reduce usability problems after the MVP launch.

5. Development and Testing

Finally, with the approval of the prototype, the development phase starts. This stage involves coding the MVP, setting up the server, and making any needed APIs. As you remember, we aim to release the MVP as soon as possible. So, the development team did not include all the features from the prioritization stage.

It is also important to emphasize that testing is a part of this phase. The team needs to test the MVP until they find and rectify all the bugs before they can release the MVP.

It means that testing lets you know whether an MVP, which has a limited set of features, is stable and usable. Firms like The Intellify invest much in testing. They aim to provide clients with satisfactory MVPs.

6. Launch and Feedback Collection

Once a team creates and refines an MVP, they can present it to a first test audience: the early adopters. All one hopes to achieve at this stage is to get as many opinions as possible. User feedback helps gauge app usage. It shows which features users value and which are lacking.

This feedback loop is the basis of future app-related developments. Then, we can make decisions on what features to include or exclude. You can also make changes to improve usability and change the website or app to fit current market needs.

Benefits of Building an MVP app for Startups

An MVP has key benefits for businesses in the competitive app market. First, it allows for a faster time to market. You can test your app in the real world without the long development cycles of full-scale apps.

Second, MVP minimizes financial risk. You don’t need to invest big bucks in an app that might fail. You can test the market with a small budget and expand the app as needed.

Finally, building an MVP facilitates the agile development approach. The app evolves with user feedback. It stays relevant to users and meets market demands.

Conclusion

MVP (Minimum Viable Product) mobile app development is vital. It’s a key step in creating an app. It involves launching a basic version of the app. It will have key features to gather user feedback and confirm the product concept.

MVPs can boost ROI, traction, and engagement. Focus on core functions and user needs. A structured, methodical approach is key to a successful MVP. Scrum defines roles and team sizes. It keeps the MVP development process focused and productive.

Are you a business owner with a great app idea? Does the tech of building a minimal viable product (MVP) overwhelm you? Don’t worry, The Intellify can assist you.

Developing company concepts into real MVPs is our team’s area of expertise. Together, let’s brainstorm and work. Give us your vision, and we’ll help you every step of the way from conception to launch.

Are you prepared to move forward? Contact us to find out more about our services at The Intellify. Together, let’s create the future of your app!

What is Legacy Application Modernization?

By modernizing legacy applications, it is possible to update and transform older software systems. These modernizations typically transform old programming languages, frameworks, and infrastructure into more advanced, efficient, and secure technologies, which are more beneficial to companies.

Some more modular design transformations, including microservices, for example, help businesses better align with current technologies and trends. It is essential to know the benefits of application modernization with legacy systems.

How do you upgrade an outdated legacy system?

The process of enterprise application modernization with legacy systems can include various applications, such as re-hosting applications on new platforms, re-engineering software, refactoring code, or completely rewriting applications. It also often incorporates cloud technology for advanced flexibility and scalability, along with digital transformation services.

Going through legacy software modernization best practices ensures that your software is entirely relevant and valuable in this rapidly evolving digital landscape:

•   Enhance the functionality of any system
•   Improve the security and compliance 
•   Increase the scalability and efficiency 
•   Ensure the software meets that evolve the user expectations and business requirements

Benefits of Modernizing Legacy Systems

1. Cost Avoidance or help to avoid huge expenses

In terms of infrastructure, we are moving away from local on-premises data centers. Again, moving in that direction to use cloud vendor utilities to reduce costs. This makes operating costs more manageable and measurable.

With it, you can save some money by eliminating technical debt. Maintaining legacy systems can be a costly option. Some organizations spend more than 60% of their IT budget on legacy systems to maintain it.

For managing old code and growing support tickets, the company needs to pay more cost. Additionally, diagnosing issues takes enough time, even hours or days. Few of the maintenance team have a proper idea of how to work with the legacy system.

You can re-architect your legacy code with a legacy Application Modernization Use Case. It allows you to reduce the cost of hiring highly trained, skilled developers. They are highly trained in maintaining code.

2. Business Agility

Legacy systems are used to create new features and services. But, this limits the ability of any business to create these. As a result, most companies employ a team to break and maintain.

If you want to overcome these limitations, you need to bring the legacy software. it to the cloud via rolling out microservices and containerization. The Legacy application modernization can provide the ability to add new features and functionality to your organization.

3. Enhance the Staff Productivity

Developers and administrative teams need to be more productive to enhance any business. This concept allows you to move the workforce to the cloud and supports software product development. It also helps leverage existing services to be more productive in day-to-day operations.

4. Maintenance and Support Concerns

Legacy systems can reduce high software maintenance and support costs for almost any organization. They often come with extensive codebases and are built on proprietary architectures. This makes even minor organization updates a challenge.

However, each update requires investing a lot of time and effort. For example, the US federal government spends $100 billion annually on IT investments. Over 80% of this expense is on operations and maintenance, including legacy systems.

Here are a few examples of the advantages of application modernization with a legacy system. It offers greater productivity:

• Fewer application incidents:

A perfectly maintained legacy system has worked for any company for many years. It can also repeat the project. Re-architecting your code for the cloud is essential. It can automatically clean up many of the technical limitations of previous code. As a result, any modern system is much easier to diagnose. In this case, problems can be solved without disrupting the entire application.

• Improved team utilization:

Modern open-source coders enable your software development team to diagnose and fix issues. It can also add new features.

• New Features & Functionality:

Many organizations tie their business processes to their legacy application constraints. After modernizing the legacy, you can implement the new features. You can do it without any restrictions. Many times companies eliminate manual processes, and modernization projects, including software project rescue services, help them provide entirely new services to their customers.

5. Customer Experience

When connecting any business operations to a legacy system, the customer experience may suffer. Through this modernization, you can introduce new services and processes to your business. It is effective for further improvement of any business. This allows performing many business upgrades, such as transforming front-end user interfaces, creating new features, etc.

6. Build a New Revenue Stream

Modernizing core applications for legacy systems has considerable benefits. One of these is unlocking legacy modernization revenue streams. These system upgrades help your business integrate new services or processes, adding additional value to customers. Various legacy systems prevent many companies from innovating. But remember that the system is not flexible.

Companies like The Intellify are seeing the benefits of legacy modernization in about five areas. These are cost avoidance, agility, operational excellence, creating new revenue streams, or enabling new revenue streams.

7. Rich User-Experience

According to market research, when an organization implements outdated software development to increase business revenue, it cannot deliver the user experience that customers usually expect. However, consumers always want up-to-date companies with trending technologies and trends. Doing this is so crucial that you’re losing customers.

When you modernize your application with a legacy system, it can easily deliver the expected performance. It can enhance the user experience in many ways, such as adding new features and functionality, improving the front-end user interface, providing time-tested services, etc.

8. Robust Security

When it comes to Legacy application modernization, the main concern will be security. Now, in most cases, vendors refuse any legacy and outdated applications, which results in data breaches, malware attacks, and the like.

However, any application modernization offers an entity backed by robust security protection for all types of transactions, whether critical or easy. With this modernization process, you will be able to use innovative DDoS protection, ADCs (Application Delivery Controllers), and security upgrades aimed at protecting any organization’s infrastructure from any threat.

Furthermore, this modernization system helps users protect application data from cybercriminals. For this reason, users can use a secure web app firewall with the bot management system.

9. Lack of Expertise

As IT professionals are now increasingly looking to master new technologies for better career opportunities, it is difficult to find skilled workers for just legacy systems.

Additionally, there is very limited community support for obsolete technologies. Modern technology experts typically rely on tools available in libraries, frameworks, and online communities, which they would not have found in legacy systems.

This means that companies that rely on legacy solutions are usually forced to invest in experienced and more expensive senior staff, as junior and mid-level professionals are less skilled in working with outdated programming languages ​​and systems. If you want all kinds of workers to work with you, then you should go with a legacy application.

Conclusion

Application Modernization Benefits for Legacy Systems that helps businesses in different ways. If your application is modernized and updated, you cannot encounter any performance glitches.

On the other hand, if your application becomes modernized, it’s more likely to improve your business by enhancing the user interface and accelerated performance with robust security, improving the overall user experience over enhancing your business. Contact us to learn more about how we can assist you in this transformation.