Drop us a line
If you are interested in the development of a custom solution — send us the message and we'll schedule a talk about it.
Azati’s dedicated team played a pivotal role in ensuring a flawless product for the art trade (both real and NFT) and collaborating with auction houses by efficiently testing the web and mobile application, eliminating any bugs in the process.
Modern temples of art are gradually moving away from the classical canons. The latest information and multimedia technologies open up completely new opportunities for culture and art and help to attract an audience, especially youth.
Incorporating modern information technologies into the creation, sale, and exhibition of art has paved the way for multimedia installations, offering a fresh perspective on classical works.
Recognizing this transformative potential, our client embarked on a mission to bridge the realms of information technology and art. They envisioned a platform that would facilitate collaboration with auction houses and enable trading across more than 10 countries, encompassing both physical and digital items, including NFTs.
Software testing and the subsequent bugfix in the modern world is no less significant in its value, and the absence or insufficiency of quality assurance can lead to real disasters.
Due to the extensive nature of the customer’s platform, it encompasses numerous intricate details that necessitate meticulous attention and comprehensive testing. Consequently, the customer sought Azati’s expertise to assist in testing both the web version and mobile application. Our team employed a combination of manual testing and automated testing methodologies to ensure thorough examination and evaluation.
The quality assurance process entails six key stages that testers undergo as part of the program testing life cycle:
The ultimate solution encompassed a combination of manual testing and automated testing for specific components of the platform.
Consequently, end-to-end (E2E) automated tests were executed for both the WEB3 and WEB2 segments.
Furthermore, in addition to the web version, the Azati team also conducted thorough testing for the customer’s mobile version.
Our work resulted in the following:
Our team diligently undertook extensive efforts and successfully accomplished all assigned tasks. The customer expressed their satisfaction with the progress made thus far. However, it is important to note that the project remains ongoing and there are further milestones to be achieved.
If you are interested in the development of a custom solution — send us the message and we'll schedule a talk about it.
JavaScript, Ruby
HR Planning SoftwareThe customer asked Azati to audit the existing solution in terms of general performance to create a roadmap of future improvements. Our team also increased application performance and delivered several new features.
Python
Stock Market Trend Discovery with Machine LearningAt Azati Labs, our engineers developed an AI-powered prototype of a tool that can spot a stock market trend. Online trading applications may use this information to calculate the actual stock market price change.
Python
Semantic Search Engine for Bioinformatics CompanyAzati designed and developed a semantic search engine powered by machine learning. It extracts the actual meaning from the search query and looks for the most relevant results across huge scientific datasets.
Java, JavaScript
E-health Web Portal for International Software IntegratorAzati helped a well-known software integrator to eliminate legacy code, rebuild a complex web application, and fix the majority of mission-critical bugs.
JavaScript, Ruby
Custom Platform for Logistics and Goods TransportationAzati helped a European startup to create a custom logistics platform. It helps shippers to track goods in a real-time, as well as guarantees that the buyer will receive the product in a perfect condition.