Data Masters is a Data Management, BI and consultancy based in Skopje and Lisbon, helping organizations across Europe, Middle East and USA build modern data platforms, enable self-service analytics, and deliver actionable insights - from advisory to data engineering and modeling to value through insights and data automation.
AI-Augmented Supply Chain OrchestrationThe core hurdle was a fragmented, manual workflow that lacked AI-driven automation. Managing disparate REST schemas and rate limits from fulfillment providers required constant human intervention, leading to data lag. We needed to replace these manual bottlenecks with a bulletproof Order Routing Engine. The challenge was building a high-performance Next.js system that maintained a senior-grade, type-safe codebase while orchestrating complex affiliate logic w/o manual friction
We build AI-powered systems that help companies uncover high-value opportunities, accelerate workflows, and unlock new business potential. Leveraging the latest in multi-agent systems, generative AI, and computer vision, and backed by deep engineering expertise, we design and deploy enterprise-grade solutions that drive measurable ROI.
AI-Powered Healthcare Contract Management: Transforming Medical Legal Document ProcessingEach healthcare organization operates under different regulatory frameworks and internal processes. They needed customizable AI that could extract organization-specific terms while maintaining HIPAA compliance and ISO 27001 standards.
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Real-Time EMG Rehabilitation AIExisting system relied on outdated tools that produced delayed, innacurate feedback on recovery.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.