From modelling to governance, we build interoperable research systems that accelerate insight across scientific domains, including Safe and Sustainable by Design (SSbD) assessment and data-driven innovation.
What We Do
Supporting the research lifecycle, from computational modelling and AI to FAIR-native data architecture, governance, secure cloud systems, and Safe and Sustainable by Design (SSbD) decision support.
AI-powered solutions for blast damage prediction, advanced ballistic materials, chemical agent exposure modelling, UAV detection, and flight data analytics for defence and security applications.
AI-enabled molecular design in reproducible workflows. We combine physics-based modelling, ML, and curated data for screening, ADMET, and lead optimisation.
Predictive materials engineering, from molecular simulation to DFT. We connect modelling workflows to structured metadata for reusable results.
Domain-specific AI for reproducible scientific research. Built on structured data pipelines and governance-aware workflows.
AI-enabled bioinformatics for integrative translational research. We unify multi-omics and clinical data to accelerate targets, biomarkers, and precision medicine.
Human and environmental exposure, fate modelling, and biokinetics. From airborne particle deposition to multimedia environmental fate and nanomaterial bioaccumulation.
Pharos data platform ecosystem (nanoPharos, chemPharos, MedPharos), FAIR-compliant data architecture, metadata harmonization, and AI-ready dataset engineering for reproducible science.
Scalable scientific platforms engineered for integration and reproducibility. Microservices and APIs that connect models, AI systems, and governed data.
Build institutional capability in AI, modelling, and FAIR data infrastructure. Advanced training for sustainable adoption—tailored to your teams and systems.
Trusted by leading organizations worldwide