GLOBALSTAT INTELLIGENCE SOLUTIONS LTD
Your Partner in Data Science & AI
We provide a cloud-based analytical platform for advanced survival modelling, predictive analytics, and healthcare data analysis. The platform integrates statistical modelling, machine-learning-assisted orchestration, and automated model selection to support clinicians and researchers.
Our system supports heterogeneous population modelling, risk prediction, and time-to-event analysis, delivering explainable, governance-ready outputs that improve reproducibility and accelerate decision-making in healthcare and biomedical research.
Our platforms leverage machine-learning-assisted orchestration to automate complex analytical workflows, including model comparison, validation, and optimisation. Multiple analytical methods are applied simultaneously, with optimal models selected using objective statistical criteria.
This approach reduces reliance on fragmented scripting environments and enables scalable, reproducible, and efficient analytical processing across healthcare and research datasets.
We provide a cloud-based platform for multi-omics integration and causal inference, supporting genomics, transcriptomics, proteomics, and related data layers. The platform enables automated Mendelian Randomization and causal discovery workflows.
Our system is designed to support precision medicine and translational research by identifying causal pathways, biomarkers, and complex biological relationships across large-scale datasets.
NeuroBridge is a digital platform for cognitive assessment and brain health analytics, designed to support early detection and monitoring of cognitive impairment. The platform integrates structured assessment workflows with healthcare data systems.
It supports interoperability standards such as FHIR/HL7 and provides explainable analytical outputs suitable for clinical and research environments.
All platforms are delivered through a secure cloud-based infrastructure supporting scalable SaaS deployment, automated data processing, and multi-institutional access. The system is designed for reliability, security, and operational efficiency.
Integrated explainable AI and governance-oriented reporting ensure transparency, auditability, and compliance with healthcare and research standards, enabling users to interpret results with confidence.