We are a team of passion-driven top-notch talents skilled in creating reliable UX-oriented custom software solutions, building high-performance data centers, securing round-the-clock applications, and developing your business idea into a success story.
HIVE Performance Cloud: Building High-Performance Computing InfrastructureThe client required a solution for straightforward management of remote hardware for accelerated cloud computing, while incorporating multiple business models to maximize financial outcomes.
Develop a high-performance computing platform that integrates multiple business models to increase efficiency and profitability.
Innowise is a software development and IT consulting company that was founded in 2007. Our company serves IT and non-IT organizations, helping to achieve a variety of goals and objectives with digital solutions and recent trend technologies. We have more than 3000 engineers in our team and successfully delivered more than 1600 projects.
AI solution to check documents for regulatory compliance issuesOur client’s customers faced challenges managing their internal documents. Due to the large volumes of contracts and agreements flowing through the legal departments regularly, it took a lot of time for employees to check all of them for compliance. They had to manually go through each entry and edit them if they were compiled incorrectly.
Rubix Code DOO is a full-stack AI development company specialising in building compliant AI ecosystems across healthcare, real estate, business intelligence, and legal tech. We partner with clients to design and deliver end-to-end AI solutions, from data infrastructure and cloud-based inference to industry-facing dashboards and actionable insights.
Real-Time EMG Rehabilitation AIExisting system relied on outdated tools that produced delayed, innacurate feedback on recovery. Without real-time EMG-driven insights, clinicians and coaches had no reliable way to objectively track muscle activation and fatigue, forcing decisions based on guesswork rather than data.