Our client, a prominent USA-based company specializing in database virtualization and data management solutions, sought to revolutionize data infrastructure by enabling seamless transitions from traditional/legacy databases to modern cloud data warehouses, all without necessitating changes to SQL and application structures.Our team's evolution from a small, agile group to a robust team of 20 professionals empowered us to deliver comprehensive services. We offered end-to-end solutions spanning product development, rigorous testing, and steadfast customer support. Notably, our expertise extended to assisting large enterprises with seamless data migration, ensuring uninterrupted operations and continuous customer satisfaction.The challenge lay in meeting the client's expectations for enhanced product development capacity and quality to cater to Fortune 100 clientele. Despite the intricacies of the niche technology area, our team swiftly adapted, augmenting the client's workforce with additional brainpower to support aggressive development schedules and live platform maintenance. We streamlined QA and development processes, leading to efficient release management. Furthermore, our ongoing customer support, spanning L1 and L2 levels, facilitated smooth data warehouse migration projects to leading cloud platforms like Azure Synapse and Google Cloud Platform. Used Tech Stack: C Erlang Flex Bison SQL Python Scala Spark ArgoCD Kubernetes Azure Synapse Teradata

Our client, a leading USA-based global automotive manufacturer ranking among the top three in the industry, specializes in offering a wide range of vehicles, including light, medium, and heavy trucks, buses, coaches, and bus chassis. With diverse warranty offerings tailored to different conditions, the client sought to gain deeper insights into their customer base and vehicle usage patterns.In collaboration with the client, we developed a Proof of Concept (POC) solution aimed at analyzing truck route patterns to provide valuable insights. Our solution enabled the client to identify opportunities for the integration of electric or autonomous trucks, along with suitable electric charging station locations. Leveraging custom algorithms, we aggregated and filtered data from onboard telematics devices, merged it with external data sources such as electric charging station locations, and visualized key findings through an intuitive dashboard.The primary challenge was to provide the client with a comprehensive understanding of how their customers utilize their vehicles. With vast amounts of data available from standard onboard telematics devices, our task was to extract actionable insights quickly to support management decision-making. Through rapid prototyping and agile development, we successfully demonstrated the feasibility of selected hypotheses, earning management approval for further initiatives.Used Tech Stack: Python PySpark Azure Data Explorer Azure Databricks Tableau

Our client, a USA-based company, is pioneering the development and operation of a social platform that serves as a nexus between businesses and local communities. With a core focus on promoting everyday social issues, disseminating news, and showcasing local businesses and marketplace promotions, their platform aims to foster community engagement and economic growth.To meet the client's objectives, our team of over 20 skilled software engineers, led by an experienced Architect, embarked on rearchitecting and further developing the Proof of Concept (POC) into a robust global marketplace. This involved comprehensive activities such as cloud infrastructure design, deployment, and ongoing support, as well as the development and operation of the marketplace itself. Key features spanned from user registration and onboarding of businesses to listing their products, all facilitated through a user-friendly CMS.The client's ambitious goal of listing on the NYSE within a year presented a significant challenge, requiring a dedicated and agile approach to development. Our challenge was to assemble a proficient team capable of supporting an aggressive development roadmap. Despite these challenges, we successfully launched the Social Platform MVP within five months and continued to iterate, supporting agile development and continuous improvement of the live platform. Within just one year after the MVP release, the platform boasted an impressive 500,000 registered users and 40,000 registered businesses across various states of the USA.Used Tech Stack: Node.js, .Net Core, SQL / NoSQL DBs, React.js, AWS Docker, Kubernetes

Our client is a leading USA-based digital ticket outlet catering to sports and entertainment events. With a broad clientele comprising over 350 partners worldwide, including teams, arenas, theaters, clubs, and colleges, their platform aims to enhance the ticket-buying experience and maximize the value of events for fans.In response to the client's needs, we assembled a specialized team of 60 QA engineers. Our primary objective was to bolster Software Development Life Cycle (SDLC) processes by integrating modern tools into Continuous Integration/Continuous Deployment (CI/CD) pipelines. By minimizing manual testing activities and expanding the scope of testing automation to cover web, mobile (iOS, Android), API, backend, and DB services, we aimed to enhance the overall quality of the digital ticketing platform. Additionally, we introduced new testing approaches, including component and integration testing, alongside unit, end-to-end, regression, and live support testing.The client sought a dedicated team of QA/QE experts to elevate quality assurance processes and accelerate time-to-market for their digital ticketing platform. Overcoming this challenge, our efforts resulted in significant achievements, including a reduction in production issues, decreased release cycles, and improved stability and management of tests. By implementing modern testing practices and automation tools, we substantially enhanced the quality assurance processes, leading to a more reliable and efficient digital ticket buying experience for both the client and their customers.Used Tech Stack: TestRail, Playwright, Selenium, XCUITest, Jetpack compose, Mountebank, Kotlin, JS, Python, TestNG, PyTest, Jest, Allure, Postman

Our client is a USA-based company operating in the fitness and healthcare industry. Their digital multi-platform solution provides video-on-demand streaming subscriptions, live streaming services for end users and coaches, as well as supplementary offerings such as workout DVDs, food supplements, and meal plans. With a focus on enhancing the digital experience for their users, the client sought professional software expertise to elevate the capacity and quality of their digital product development.In response to the client's needs, our team grew to a dedicated group of 60 members. Leveraging our expertise in Software Quality Assurance and Engineering, as well as web and mobile application development and maintenance, we provided comprehensive solutions. We aimed to bolster the client's digital product development processes, enhancing both capacity and quality. This involved designing and developing automated testing and monitoring infrastructure across various platforms and layers to support the client's extensive user base and product offerings.One of the key challenges was meeting the client's demand for a professional software company capable of handling the complexities of digital product development in the fitness and healthcare domain. Despite this challenge, our efforts led to significant achievements. We contributed to the digitalization and quality control of the client's products, designing and implementing automated testing and monitoring infrastructure. This infrastructure supported over 3 million users across mobile, web, TV, and watch platforms. Additionally, our active participation in web and mobile application development enabled the client to maintain intensive release schedules, often requiring round-the-clock cooperation with various teams.Used Tech Stack: React.js, Swift, Java, Expresso, XCUITest, Detox, Maven, TestNG, Selenium, JS, Playwright, Jest, Python, Pytest, JMeter, flood.io, TestRail Cucumber, harness.io

Our client is a global technology, defense, and engineering group with a diverse portfolio of businesses spanning aerospace, smart city development, defense, and public security segments. With a focus on innovation and advanced technology solutions, they sought to develop a comprehensive maritime simulator and training engine to enhance training programs and operational efficiency.In response to the client's requirements, we developed a cutting-edge training simulator with a 3D Maritime Visualization Engine. This engine included 5,000 square kilometers of land and sea terrain, approximately 200 modeled objects, real-world weather simulation, physics modeling, and day and night time logic. Integration with actual field devices enabled realistic visualization of various scenarios, including city architecture, natural elements, ocean conditions, harbors, and human modeling. The result was a sophisticated training platform capable of simulating diverse maritime scenarios with high fidelity and accuracy.The primary challenge for the client was the need for a maritime simulator training engine based on a comprehensive visualization engine. This engine was essential for developing various tools for real-life data visualization and its application in training simulations, including piloting tankers and cargo ships. Despite this challenge, our team successfully automated training courses for unmanned surface vessels, enabled remote piloting of cargo and tanker ships and provided real-life port situation visualization capabilities. These achievements significantly enhanced the client's training programs and operational capabilities in maritime environments.Used Tech Stack: C#, C++, Unity3D, Blender 3D, Adobe Photoshop & Illustrator