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.
ML-based 3D modeling medical platformAs healthcare evolves, disruptive tech demands precise tools for surgery to minimize errors. Doctors need equipment enhancing accuracy and foresight.
Our client tasked Innowise with 3D body modeling software that recreates bones, skin, and organs from X-rays/CT scans. It transforms 2D images into volumetric 3D models, improving disease visibility, abnormality insights, and patient treatment for practitioners. Students/interns use these for diagnostic/surgical practice.
OTAKOYI builds AI-powered SaaS platforms, data pipelines, and full-stack web and mobile products for clients in PropTech, HealthTech, SocTech and FinTech. Senior engineers across Node.js, ReactJs, NextJS, RAG/Agentic AI, Python, React Native/Flutter. We regularly inherit and professionalise MVP-stage codebases – 15 years, 200+ products delivered.
End-to-End Development of an AI-Powered Dating Mobile AppThe client wanted to reinvent online dating by leveraging AI to make matchmaking smarter and more personalized. They approached us with a vision for an app that goes beyond swipes, an app capable of predicting compatibility and facilitating meaningful connections.
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Real-Time EMG Rehabilitation AIExisting system relied on outdated tools that produced delayed, innacurate feedback on recovery.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.