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The world is on the verge of introducing a quantum computer - a powerful computer that can perform complex tasks simultaneously within seconds. It is given great credit and there are plenty of industry applications of quantum computers that might change everything beyond recognition. Today’s research results and quantum computers are promising. Startups receive huge fundings and advance in their quantum computing capabilities. However, there are questions surrounding this leveraging technology. When are we going to see its kick-off? So, to understand the time frames, let's draw a line on what we know about quantum computers so far! What is a Quantum Computer vs a Classical Computer? According to NewScientist, a quantum computer is a machine that uses quantum physics theories to store data and perform various computations. Quantum computers can outperform even today's best supercomputers. They win against classical computers when there is a need to process a large number of possible combinations. These computers carry out the task simultaneously alongside finding prime factors of a very large number or the best route between two places. Classical computers encode information in binary “bits” that are either 0s or 1s. That’s why we call these computers binary. A quantum computer’s basic memory unit is a qubit also known as a quantum bit. Physical systems that include electrons and photons create qubits. These qubits can be 0s and 1s at the same time and in many combinations. When qubits remain in many arrangements at once they form a quantum superposition. Also, when they inextricably link together but represent different things simultaneously, qubits form quantum entanglement. If qubits are scattered, this process is called quantum decoherence. Being so powerful, why aren’t there any quantum computers available for users? Mainly, because they are still new and “experimental”, residing in a lab environment. Quantum computers react sensitively towards heat, electromagnetic fields, and collisions with air molecules, which can cause qubits to lose their quantum properties and give out wrong results. In other words, qubits fail to work appropriately outside their specifically created environment. There is a belief that classical computers can outperform quantum ones in specific tasks. However, the future looks rather like a combination of both computers. Quantum Computer Market Outlook Quantum technologies will be on top in a few years as today they are one of the leveraging technologies to come. It is projected that by 2040 the market revenue will amount to $93 billion. What can quantum technologies offer? So far, there are three major quantum use cases. These are: Imagine implementing quantum into our daily lives and what will it bring afterward! We could benefit from quick solutions to complex matters within seconds and achieve unheard success. Instead of imagining and talking about theoretical outputs, the world wants to see quantum computers soon and does everything possible to make them a reality. That’s why industries working with large volumes of data make attempts to engage in quantum technologies. About 40% of organizations in the telecommunications, aerospace, automotive, life sciences, energy and chemicals, and banking industries look forward to quantum computer launch onto the market. Moreover, in 2022, most scientists and technicians from the scientific and technical services industry have researched quantum computing possibilities to enhance their performance and business results. Transportation and mobility industry representatives were surveyed and solving machine learning and data analytics problems were the most desired applications for quantum computing. Quantum computers would be able to do calculations that we can't currently do and others that would take many months or years. The potential of doing those in days would just transform our design systems and lead to even better engines. - Prof Leigh Lapworth, quantum computing development lead at Rolls-Royce Benefits of Quantum Computers for Businesses Industries There are numerous benefits quantum computers can offer to industries. The detailed applications are offered in the table below. With such a quantity of industry applications, quantum computers bring business operations to a new level of efficiency with effective at-key solutions. For instance, you will obtain: Increased speed Improved efficiency Enhanced security New opportunities Real-time simulation Quantum Fundings and Adoption Market giants like Amazon, IBM, Google, and Microsoft have set their focus on quantum computing as it might solve their most complex business problems as well. Also, quantum computing is the perfect technology trend to invest in. In 2019, IBM’s startup presented its first commercial quantum computer. It is the IBM Q System One that sides outside of the laboratory environment. Among countries, that would like to fund quantum computing research and development, there’s China. The country has invested $15.3 billion, which is eight times bigger than the United States and more than double what the EU planned to invest. What concerns quantum adoption, China and Netherlands are the leading countries here. More than 40% of the responders in both countries are either starting to work on or plan to work with quantum computers. 65% of International Data Corporation (IDC) survey respondents would like to use quantum computing via the cloud. Quantum Computing Startups Today, there’s a large quantum startup ecosystem that is booming. In 2021, the United States, Canada, and the United Kingdom had the largest number of quantum computing startups. At least 40% of these startups are heavily involved in quantum computer research and experiments. However, not only startups work on innovations in quantum computing. There are also 33% of universities involved. Universities bring a good share of research that gives the best insights about quantum computer technologies born in laboratories. Among the startups, you can find both new and top performers on the market: Programming Languages for a Quantum Computer The programs designed specifically for quantum computers should adhere to mathematics and quantum mechanics principles. With the demand for a scientific approach, quantum computers utilize corresponding programming languages. The latter are categorized by how they evaluate and qualify quantum algorithms. Also, by their specific execution, and examination of the fundamentals of a quantum system. According to Quantum Insider, the top 5 programming languages to consider today are: Python - Actual Quantum Programming Language Qiskit - Open-source Programming Tool from IBM Ocean™ - Quantum Computing Programming Suite from D-Wave Systems Q# - Quantum Computing Programming Algorithm from Microsoft Cirq - AI Programming Language from Google These programming languages function at the level of a gate or a building block. If there is a need for a building block and it is not yet implemented, a specification of the exact sequence of interconnections between qubits and quantum gates should be done. This process reminds of a digital circuit with AND, OR, and NOT logical gates. It works perfectly for dozens of logical gates, but in the process of scaling to thousands or millions of gates, it is practically impossible. Implementing business logic and object abstraction for any application or industry can be easily done using the OOP capabilities of the respective languages. For instance, Python is the easiest and most well-known approach in the case of quantum computing. It can be used as a wrapper around quantum languages that are more low-level. Using conventional relation and non-relational databases should be implemented in Python and also using popular ORM technologies such as SQLAlchemy. Post-Quantum Cryptography (PQC) Being fast in calculations and using quantum physics phenomena, it becomes easy for quantum algorithms to break the security of sensitive data and communications. However, this is considered a fraud and can compromise the positive impact of any quantum breakthrough. Therefore, there are cryptographic algorithms that resist quantum computer attacks. This notion is called post-quantum cryptography. With quantum computer advancements, there’s been more and more PQC research with a set goal to develop strong cryptographic algorithms that can secure against attacks of classical and quantum computers. These algorithms are powered by mathematical problems that are hard to solve by quantum computers. For example, lattice-based cryptography, code-based cryptography, hash-based cryptography, and multivariate cryptography. With the ongoing research in quantum computing, it is expected that most of the post-quantum cryptography algorithms are going to be broken soon. This kind of threat to security and communications is too dangerous. Therefore, PQC is being studied by academic researchers, government agencies, and industry stakeholders to ensure that secure and effective cryptographic algorithms are available for use in the post-quantum era. Our Quantum Computer Experience Sencury waits for quantum computers to enter the software development market. In addition, we are more than ready to work with quantum computing cloud possibilities that already exist. We can provide solutions for different industries. Sencury’s team are experts both in technical aspects and science. So, we have both the knowledge and the potential to offer real positive change. Among the offered services, our clients can benefit from consulting on the possibilities of quantum computers, where our expert helps to understand what can and cannot be done on a quantum computer preparing functional and non-functional requirements specifications for a concrete quantum solution integrating quantum and non-quantum software layers properly designing a solution architecture using a quantum paradigm To implement all of these solutions we use the quantum programming languages mentioned above. Become our business partner and discover the power of quantum computing!

A new business year always starts with setting up the corporate roadmap. To plan your corporate budget and be competitive in the market, businesses need to foresee what technologies will be trendy. Correct investments into technology trends lead to progress and augmentation. Tech sector monitoring still is a powerful choice for business growth. Let’s have a more detailed outlook with Sencury. Further Digitalization Many industries became digital and automated their processes years ago. However, some businesses are only initiating automation and the relevant changes now. And the others have only made plans to do so. This year, to achieve a highly efficient system, it is required to incorporate different technologies, platforms, and tools together. The most popular merging includes natural language processing (NLP), Artificial Intelligence (AI), machine learning (ML), Robotic process automation (RPA), etc. The system of a kind would be accurate, require less time, and be without manual or human work. Thus, it is extremely time-saving and cost-effective. This tendency will work for different organizations further. Artificial Intelligence and Machine Learning Generative AI is going to be the most expected technology to develop and enhance. What today’s AI does to businesses is actually a productivity revolution. It automates operations and transforms industries. Tasks that humans initially carried out manually can be automated, and advanced. To achieve automation, organizations need to focus on Chatbots. A unique AI-driven chatbot can answer customer inquiries, reduce response time and add significantly to the best user experience. For example, the newest chatbot is ChatGPT. Read all about it in our recent article “What does ChatGPT mean for your business?” Personalization. We have all seen what personalized recommendations look like. AI-powered training models are already able to analyze human behavior to give out the best options possible. But, in 2023, these models will analyze, recommend personalized content, suggest products, and target marketing campaigns even better. Inventory management. To reduce waste, it is possible to use AI in sales trends and inventory analysis. This will also optimize stock levels. Predicting sales. Forecasts made from older samples of sales data might accurately predict future sales. Here, businesses only win as they will make informed production and decide on the actual inventory levels. Smart Devices With the help of AI, smart robotic sensors, and IoT the current and the following years might be quite successful in expanding the number of existing smart devices and their capabilities. However, today’s realities have shifted their focus towards energy management, environmental monitoring, and security. Therefore, there will be a great need in: Smart thermostats that can track energy consumption and regulate temperatures. The aim of these smart devices will be to reduce energy wastage and related costs. Smart sensors that can monitor environmental changes and send alerts to prevent product damage. The aim of such tracking will allow us to reduce unexpected spending in a hazardous situation and provide appropriate product storage conditions. Smart locks/cameras, that will provide the best security for a building, people, or single objects. These secure sensor appliances aim to reduce or prevent criminal activity. Besides the smart devices mentioned, there also will be a demand for health monitoring appliances. Taking care of your health never gets old. These appliances will always be trendy as many people raise their health status awareness and monitor their health conditions in real-time. Datafication Each year humanity produces volumes of data. Statista projects that there will be more than 180 zettabytes of data produced by 2025. Only analytics software can read the data we get from all the possible devices and sources. For example, its competency includes handling a wide range of structured, unstructured, semi-structured, and even multimedia data. Analytics software has already advanced its capabilities based on user needs and produced real-time insights. However, the scale and complexity of data are always a challenge to deal with. That’s why software development providers have to be open to building newer business intelligence (BI) solutions that can outdo complex analysis tasks at any scale. Also, organizations are inclined to employ predictive business analytics to deal with obtained data. Being able to process and analyze large scopes of data allows for predicting future trends. These predictions are real-time and form a single source of truth. With the help of analytics, it is possible to figure out your future business potential. Predictions are also game-changing in the financial services industry, where it is necessary to understand future trends, stock movement, and fraud prevention. Moreover, predictive analytics helps prevent cyber-attacks, schedule preventive maintenance, make logistics optimizations, ship and recommend products, and provide customer lifecycle management and digital marketing campaigns. Cyber Security Recently, strengthening business continuity has become a top priority for organizations. To achieve their best in providing uninterrupted process workflows, businesses figure out how to initiate internal digital immune systems. These systems include people, processes, and technologies working side-by-side. There’s a need for unique security software that will protect organizations against continuous malware threats in real-time better. Its main functionality will allow the identification, analysis, and investigation of vulnerabilities as well as recommendations of further fixes to prevent damage. Edge Computing This year, Edge Computing had several trends to observe. Its growing demand is mainly driven by the increasing number of IoT devices, the growth of 5G networks, and the need for real-time data processing. What’s more, the advancements in 5G have triggered the need to deploy edge computing solutions in new applications. The global edge computing market is expected to grow. ReportLinker forecasts its growth of up to $132 million by 2028. So, what’s going to be the top trend in edge computing? 5G Many edge computing apps require ultra-low latency, which will be possible with 5G networks. These great improvements in networking speed will allow distant sensors to give instant updates about the connected devices. Also, the increase in real-time processing will require building new equipment to match the enhanced capabilities. Kubernetes Containers and Kubernetes are ideal for edge, especially in terms of hyperscaling. Container storage provides core services, persistent storage, high availability, durability, and effortless migration between the cloud and edge. So, if you are apt for scaling, consider turning to containers. IoT Also, we should track the rise in IoT devices. Genuinely, these devices will generate massive amounts of data. With the help of edge computing, this data will be processed at the source without being sent to a centralized data center. This will result in a reduction in latency and an increase in the speed of data processing. It will be extremely efficient, with better real-time insights and accurate decision-making. Our Company and Technology Trends Sencury is an international software development and business consulting provider. We always monitor new market trends to ensure that our market knowledge meets customer expectations. Our main services include technology consulting, software development, DevOps, data engineering, project management, L2/L3 support, etc. If you are looking forward to growing your business, automating your corporate processes, securing critical internal software, or in need of a team to carry out your project - contact us! Let’s talk!

Every software development project should have a structured approach to it. The structure of work that the organization uses is called a methodology. A perfectly implemented methodology can accelerate the workflow in your organization and enhance team collaboration. What’s more, each methodology reveals the potential of the team on a project in its own way. Therefore, let’s discuss some of the most used software development approaches - DevOps and Agile. The fact is that we should not compare them, as they are not mutually exclusive. So, we would like to show you how to make use of both within your organization. DevOps DevOps is the leading methodology practiced by 47% of software development companies. “DevOps” consists of two words: development and operations. It means that the team orchestrates the whole software development lifecycle. E.g., they design, implement, deploy, monitor, fix problems occurring, and update the software. The DevOps team is the owner of both the code and the infrastructure this code runs on. The team’s responsibility includes taking care of the best end-user experience and, at the same time, eliminating production issues. DevOps Philosophy and Scope Being a methodology at its core, DevOps cannot be treated as a technology. And buying DevOps tools does not mean you can name them DevOps as that would be completely wrong. These are just the tools that complement practice and not vice versa. The essence of DevOps is building a culture of shared responsibility, transparency, and faster feedback. Here, cross-disciplinary teams collaborate to develop and deliver top-notch software. Technologies are simply the tools that enable this at 100%. DevOps Manifestations Continuous integration Continuous delivery Continuous deployment Like DevOps, Agile also offers both structure and framework to enhance the delivery process. However, there’s still a great difference. Let’s find out what makes Agile stand out as the second most practiced methodology in the world. Agile In 2022, Agile was the second most-used methodology in the world, with 37% of software development companies practicing it. The Project Management Institute (PMI) says the goal of the Agile approach is to create early measurable ROI through defined, iterative delivery of product features. The most interesting fact about Agile is that the customer can change requirements whenever there’s a need. Agile’s flexibility of a kind allows the customer to be extra competitive in the market. Agile Philosophy and Scope The four core values of Agile software development as stated by the Agile Manifesto are: individuals and interactions over processes and tools; working software over comprehensive documentation; customer collaboration over contract negotiation; and responding to change over following a plan. The key components of Agile methodology include: User stories - small, self-contained units of the development with a specific project goal. Every user story is written from the user’s perspective in a fixed format: User persona → action → goal. I.e. I am a user persona. I perform this or that action to accomplish a goal. Sprints - small iterative projects lasting from 2 to 4 weeks. Teams gather at sprint planning meetings, determine tasks, and then work on these tasks till their completion. Sprints repeat continuously up to the point all the product features are ready. Daily stand-up meetings - a 10-minute talk among the team members that occur daily for the team to be on the same page with regards to the project and informed about further development tasks. Also, there is an Agile board tool that allows the team to be aware of the project's progress. This tool adds project requests that become stories in the backlog. Each task receives the estimated story points at the Agile planning sessions. As a philosophy, Agile has numerous manifestations: Scrum Kanban In development Dynamic System Development Method Extreme programming Crystal Feature-driven development Let’s talk about the most popular manifestation – the Scrum method in Agile. While Agile is an approach to project management, Scrum appears to be a method used to implement it. Scrum Project Management Scrum is one of the types of Agile methodology, which sets a process of work identification, task distribution means to carry out work, and the exact timing of completion. In Scrum project management, the project has a lifecycle, a project team, project artifacts, and commitments. The project lifecycle includes: Scrum project methodology - a set of sprints, where the project team identifies what part of the project scope to complete up to the next sprint. Sprint review and retrospective - a demo session, which aims to show the work done to the client at the end of every sprint. The sprints repeat until the scope of the project is covered entirely. The project team consists of a: Product owner - a person with the product vision who also sets the priority for backlog tasks. Scrum master - a supervisor of the project team, who ensures they follow the Scrum methodology. Developers - a team assembled from different departments possessing different knowledge and skills within the IT field. Scrum artifacts are helpful methodological items that assist in managing work correctly. These are: Product backlog - a list of product-based tasks that have a goal and emerge throughout the development process. Sprint backlog - items from the product backlog that the team selects for the sprint together with a plan of increment delivery up to meeting the sprint goal. Increment - completed sprint backlog items during the sprint and the value of all the previously completed increments. Any increment is the version of the product that is a recognizable, visibly improved, and operating version of the product. Scrum commitments ensure quality by keeping the team focused on delivering value to its users. These are: Definition of "done" - the delivered increment needs to meet a standard of quality. However, the shared understanding of what is “done” differs between organizations and teams. Sprint goal - a specifically set purpose for the sprint backlog, which focuses on what needs to be done and why. Product goal - an idea of the product's overall objective. The team can have multiple product goals during SDLC, but one at a time. These features make DevOps and Agile the most practiced methodologies. With the right implementation, your organization can succeed in software development and offer the best development experience to your clients. Our Experience with DevOps and Agile Sencury's development practices include various methodologies and practices. We engage in strategic decision-making using a particular approach and build our development strategy on flexibility and mutual success factors. Sencury seeks to meet clients’ project lifecycle model expectations addressing each client’s specific requirements to be informed on project progress, schedule, budget status, test summary, mitigation risk strategy, etc. So far, we have successfully implemented a combination of different project management methodologies on various projects, using classical DevOps, Agile, Scrum, SAFe, Waterfall, Kanban, and other methodologies. If you are in need of expert advice on what methodology to choose and how to implement it into your workflow – contact us today and succeed tomorrow!

We live in a digital era, where everything is subject to digitization. Creating new digital products makes it possible to grow and advance your business. Investing in software solutions is an essential pillar during the digital transformation process. To succeed, you need to know about the fundamentals of software development. So, let’s start from the basics. What is Software Development? Software development is the specific process when you create, design, and deploy software for mobile applications web-based solutions, or legacy systems. To ensure the development process is smooth, it’s imperative to adhere to a software development approach. There are numerous methodologies to choose from. However, the most practiced are DevOps and Agile. You can read more about these approaches by following the link. Besides methodologies, every organization follows software development stages. There are mainly 6 of them in the software development life cycle (SDLC). Software Development Life Cycle No matter the methodology and project’s industry and scope, it will go through 6 common phases of development. Each of these phases carries out its concrete mission. For example, Planning This is the first and the most crucial stage in developing a future digital product. There is a wide misunderstanding of the agile model, that project goals must be defined for the next sprints only. Even if the development of the software is done in steps, the overall project target must be clear to everyone in the project. So, the planning phase includes information gathering e.g. What kind of software should be built? What are the purposes of this software? What problems should this software solve? How to make better software than your competitors? Analysis During analysis, the real-world processes are transformed into digital models. The project goals must be broken into user stories, which describe the features of the software. The end result should be discussed and documented. Afterwards, the product’s features, technologies, and budget should meet the client’s business needs pre-written in the tech documentation. Design The design phase is used for building the architecture and structure of the software. The basic components are decided, like using databases, message queues, workflows, software frameworks, etc. The security architecture is defined. If the software should have a user interface, then also the UX design guide is elaborated. The latter describes the graphical layout, the navigation concept, and the design of the components used in the pages according to the capabilities of the endpoint devices. Implementation The design stage is followed by coding. Software engineers code, configure, and add the needed features or specifications. The result of this phase is working software that is almost ready to be delivered to the client. Any software development should always start with the coding of unit test cases. Unit test cases allow permanent testing of the created software for every single piece of software. In parallel with the development of the software, the quality assurance engineers are writing test cases for further integration testing. Writing test cases is a widely underestimated task. It requires a full understanding of the overall business requirements, project specifications, and software features. Integration test cases cover end-to-end processes. In an advanced environment, the test cases are not only text descriptions but also software, which automatically will run and document the tests. Integration and Testing Integration puts the pieces of software, produced by single teams or developers, together to form the targeted solution. As described in the implementation phase, test engineers must participate early in the SDLC to write the test cases for integration testing. Quality assurance engineers help the final product by spotting inaccuracies and flaws in the software. Automatic testing is high-class software testing. Companies might use a testing platform to execute and monitor the testing of software. It is crucial for project management to know the results of software testing. The number of open quality tickets is an important value figure for the quote of project readiness. Maintenance During the software’s live time, the system has to be monitored and adapted by providing continuous maintenance. Maintenance tasks are classified into various levels of support and contractually described in service-level agreements. The maintenance of software is organized specifically to the capabilities and knowledge of the companies. If the software was created by a service partner, then it often makes sense to outsource at least the second level of support. It means that the first customer interaction is covered by service agents of the company and then they route the tickets to the service provider for a solution. It is vital to update the software, prevent system crashes, and provide timely responses to any issues occurring. These are the basic stages of SDLC. However, the exact order and sequence of these phases will mainly depend on corporate SD processes. Our experience Sencury is a custom software development, mobile app, and web development company. Throughout many years of experience, we helped to innovate businesses in many industries. Our expert team always encourages clients to innovate to improve the world. The SDLC in our company will depend mostly on your business needs. We build our development strategy on flexibility and mutual success factors. Sencury seeks to meet clients’ project lifecycle model expectations by addressing each client’s specific requirements: we inform on project progress, schedule, budget status, test summary, mitigation risk strategy, etc. If you need top-notch competitive software on the market, turn to Sencury! We will innovate your business up to your expectations. Contact us and let’s have a talk!

Recently, the tech industry has been disrupted by the introduction of a new AI chatbot. It’s called the ChatGPT and is assumed to be a big technological game-changer worldwide. Seeing the discussions about the correctness of ChatGPT’s answers, the resource consumption of model training, and the ethical aspects of usage, trust in this AI technology might fade in some perspectives. But this relevant future technology will learn fast. For businesses, it might be crucial to start their first workshops to understand the way this software works and identify the first use cases. So, what do we really know about the new AI chatbot? Can it substitute Google’s search engine? What opportunities can it offer to businesses? Let’s find some answers to these questions with Sencury. How does ChatGPT work? Being a text generator, ChatGPT belongs to the large language models (LLMs) of the GenAI. It is trained on 570 GB of information from various textbooks, journals, and web pages. What’s more, it is already fine-tuned to human feedback and has a conversational interface. Any business might benefit from using ChatGPT for its purposes. It can release employees from mundane repetitive tasks as well as provide help to customers. ChatGPT has over 175 billion parameters. The output it produces is in text, graphics, video, or sound. Anything from a poem or lengthy research paper to explanations of quantum physics theory. There’s a pretty wide range of chatbot skills. Some of them are still to be discovered. To be a better tool for its users, OpenAI made ChatGPT free for non-commercial and educational purposes. There is also access to the model through an API (application programming interface), which allows developers to integrate ChatGPT into applications. However, OpenAI offers a pricing model for businesses called ChatGPT Plus. It requires a subscription and a $20 fee per month. The price is based on tokens. As a paid service, ChatGPT can be customized for your special needs. You will be able to access it even during peak times, receive faster responses and have priority access to a pool of features, plugins, updates, and improvements. The ChatGPT license model allows businesses to set up their own models and train them with custom data. In the future, OpenAI might present us with more subscription options such as low-cost plans, business plans, and data packs to make ChatGPT available for more users. Opportunities of ChatGPT for businesses Intelligent usage of ChatGPT will automate customer services beyond expectations. As an integral part of any business, AI will change the way an organization operates internally and the value its services bring to customers. This way, employees won’t have to spend much time on low-impact work, but rather interact with the customers, be creative, and carry out strategic and problem-solving tasks. According to Forbes, with ChatGPT organizations can count on business implementations like, but not limited to: enhancement of processes drafting marketing content better customer onboarding delivery of the aftercare services compiling research brainstorming ideas Language model such as ChatGPT is being increasingly used now for GPT-based chatbots and virtual assistants Content generation in marketing, journalism, and creative writing Language translation accuracy and fluency Customer service via answering FAQ Education acceleration by interactive materials Basically, having unique data and using an LLM can result in increased value and scaled efficiency. AI can not only boost our analytic and decision-making abilities but also heighten creativity. — Harvard Business Review How can Sencury help your business? Sencury was founded and led by developers and scientists, who are great problem-solvers. Tell us your idea or bring your AI project and we will develop the most efficient custom software solution. Choose Sencury and we will help you innovate and improve. Sencury provides one of the market-leading services in developing AI-powered solutions. Our software engineers enjoy delivering top-notch AI products that benefit your business and give new opportunities to your customers. Contact us for more details.

Starting your own business is always challenging. First, you need to have your unique idea, investors, a place to work, and then employees to help you establish processes, deliver products, and, finally, help you grow. In addition to this, you should take into account the unstable global IT market greatly influenced by COVID-19, economic swings, and ongoing wars. According to the GEM 2022 Report, the best economies to start a business are The Netherlands, India, UAE, Saudi Arabia, and Taiwan. However, there are successful startups in other countries worldwide as well. Every emerging startup strives to create innovative products and services that transform or automate industries like tech, healthcare, finance, automotive, telecommunications, education, services, etc. So, what are the top 10 startups anywhere in the world that have risen despite the economic and pandemic circumstances? Let’s explore! Top 10 IT Service Provider Startups The choice of the top 10 startups is based on the year of business establishment (2019-2021), which makes the businesses young and creative to overcome competitors. In addition, the focus of these startups is on IT solutions and services, they have a small or average number of employees and an average rate per hour. Also, the companies are highly rated on Clutch.co and verified by GoodFirms. 1. Sencury Innovate to improve the World Sencury AG is an international IT services startup providing custom software development services for global enterprises and small businesses all around the world. The company was founded in 2021 and its headquarters is in Hannover, Germany. The development team is of approximately 50 skilled professionals, who have solid experience in delivering the best tailor-made IT products of varying complexity for customers worldwide. Innovation and accessibility drive this team to seek and create the most original technical solutions in the industry. In addition, by partnering with Sencury in custom project development, customers will receive quality solutions, consulting, or your managed team at optimal cost. The hourly rate of Sencury software engineer varies from $25 to $49 per hour. 2. Reconnaissance Technologies Providing a suite of IT solutions Reconnaissance Technologies is a 2020 startup from Abuja, Nigeria. The company provides a great number of IT solutions. It is a fast-growing software company with an objective to provide quality services and improve the overall growth of clients' businesses in the extremely competitive market. The company has up to 50 employees who have innovative ideas, seasoned skills, and the ability to deliver products that drive the global market forward. The hourly rate of software engineers in Reconnaissance is approximately $50 - $99, depending on their skills and experience. 3. Zaag Systems Limited Connect the dots ZAAG Systems Ltd. is a software development company from Uttara, Dhaka, Bangladesh, established in 2020. It is experienced in creating multi-stack applications. The company provides many services, e.g., UI/UX design, Custom Software Development, Mobile App Development, IT Staff Augmentation, etc. ZAAG is popular due to its cutting-edge web and app development. The team of almost 50 software developers is organized and cost-effective. The hourly rate of a developer is less or equal to $25. ZAAG's clients value global business solutions, support, and guidance at every step: from proposal design to development, testing, deployment, and implementation. 4. Reveation Labs We accelerate Business to the future of technology Reveation Labs is a top Blockchain Development company with headquarters in Dallas, USA, and an innovation center in Ahmedabad, India. The startup was founded in 2020 with the purpose of empowering businesses with high-end technology. Reveation Labs customers receive help with innovative solutions such as Blockchain Development, Website development, Headless E-commerce, Enterprise Applications Development, Cloud Computing, DevOps, Mobile Application Development, and Staff Augmentation. Led by leaders in IT management, the team of 50 skilled developers is believed to be a supporting pillar for their partners. The company experts believe in an advanced and unique virtual experience that is possible only with emerging technologies. Thus, they focus on unlocking the potential of next-gen technologies and overcoming real-time challenges. The price per hour of Reveation Labs developer is $25 - $49. 5. Quilytics Your Data Our Analytics Quilytics is a leading company providing services in Business and Advanced analytics integrated with Digital Marketing, Supply Chain, Fashion, and e-commerce technology solutions. The company was founded in 2021, with headquarters in New Jersey, USA. Quilytics helps companies leverage data, in the most privacy-focused manner, enabling them to make informed decisions and provide real-time value in driving their business forward. The team of almost 9 experts understands customer requirements and tailors to specific deployments to improve customer business outcomes. The cost of one developer varies from $50 to $99 per hour. 6. Triplex Digital IT laboratory of the future Triplex Digital is a digital innovation partner founded in 2020 in Stockholm, Sweden. It is a dynamic technology and design agency specializing in crafting cutting-edge software solutions, captivating web designs, and strategic digital experiences that drive businesses forward. Triplex Digital is a team of 10 - 49 professionals with great passion, energy, and high knowledge. According to the team's belief, only the transformative power of technology and design will reshape businesses. The team is ready to turn any idea into a reality. The cost of one development hour varies from $25 to $49 depending on the complexity of the project and the skills needed. 7. RemoDevs Recruitment Agency dedicated to Tech Startups RemoDevs is an IT Recruitment Agency located in Gdansk, Poland. It was founded in 2020 and appears to be a young company. RemoDevs focuses on helping companies find, attract, and hire the best software engineers from Poland. Trusted by clients from all around the world, the team of up to 9 experts in recruitment is recognized for the quality of candidates, lightning speed of recruitment, and effective recruitment processes. The cost of one’s expert search varies from $25 to $49 / hr based on the complexity of the candidate’s skills. 8. LabInTech Mobile development, UI/UX design, marketing LabinTech is a mobile development company with a range of IT services to offer. The business was founded in 2020 in Phuket, Thailand. Its mission is to produce cutting-edge technology to transform visionary ideas into reality. The team of 10 - 49 experts is passionate about pushing boundaries and crafting mobile solutions with a lasting impression. The rate of one mobile developer is up to $49 per hour, depending on the skills and experience of the employee. 9. Amygdal We never dreamed about success. We worked for it. Amygdal is a startup created in 2020 in Sarajevo, Bosnia and Herzegovina. It focuses on custom software development from SaaS to startups using stable and secure technologies. The main development services provided by the team of up to 49 software engineers are Mobile App development and researching new ideas to speed up customer business processes. The price for one hour of development varies from $25 to $49 and depends on the experience and skills needed. 10. 1T2B Custom software design and development 1T2B stands for “IT to Business”. The company was founded in 2019, in Vilnius, Lithuania. 1T2B offers full-service software and IT solutions for businesses and startups, regardless of their size and potential location. The team of up to 50 skilled professionals has proven to be of value by helping companies create online betting, E-commerce, websites, and other software. The cost of one developer per hour is up to 49$ and depends on the service offered, employee experience, and skills. To sum up, innovations can be provided by any country for they depend on the creativity and knowledge of the team. The chosen startups are from India, Lithuania, Poland, Germany, the USA, Nigeria, Sweden, Bosnia and Herzegovina, and Thailand. Throughout these 3 years, the startups have proven to produce quality software solutions for businesses all around the world.