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ISS ART
Kazakhstan
Custom software development is our key service. Being an offshore outsourcing company, we have been building solutions for Clients all over the world since 2003. The core technologies on our projects: - Back-end: Java, Spring, Guice, Hibernate, AWS SDK - Front-end: JavaScript, React/Redux, Vue/Vuex, jQuery, vuejs, TypeScript ISS Art delivered more than 500 projects in various fields: Information technology, Manufacturing, Construction, Media, Education, Healthcare, Recycling. We built projects for such purposes as: - For internal use by employees in an organization – data and inventory management software, etc. - Aimed at making profit – online shops, on demand software, or SaaS solutions etc. Our success became possible thanks to our specialists with great background in computer science and mathematics as well as: - Mathematical organization; - Dynamic programming; - Numeric analysis; - Signal processing.
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Kazakhstan
Mobile applications development is one of our key services. Being an offshore outsourcing company, we have been building solutions for Clients all over the world since 2003. iOS and Android are known to be the most widely spread mobile platforms. ISS Art developers delivered a lot of mobile solutions for these platforms in the following spheres: - Social media - Healthcare - Education - Finance - Agriculture - Manufacturing Swift and Flutter are the most popular technologies that we choose for mobile applications development today due to a considerable advantage such as: code is implemented once for both iOS and Android, thus cost expenses are decreased highly. Our mobile development team has such experts as analysts, UX designers, developers and QA experts who deliver high quality products meeting our clients’ expectations.
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Kazakhstan
Artificial Intelligence solutions take a great part of our expertise. Our AI team is developing solutions solving the following tasks: - Image and video visual content analysis - Text analysis - Intelligent chatbots and speech recognition solutions - Biometric recognition solutions - Predictive solutions for manufacturing - Intelligent recommendation systems AI stack implemented by our development team: Python: torch, Tensorflow, OpenCV, SQLAlchemy, nltk, sklearn, pandas Objective C, Swift, Kotlin: CoreML, Tensorflow Lite, MLKit IBM Watson, Google AI services When working on machine learning tasks, we follow CRISP-DM methodology. The typical workflow includes the following activities: - Understanding the task (classification, forecasting, etc.) - Data preparation (may require the involvement of domain experts) - Developing and training the model - Evaluating the results and further enhancements
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