Research

Research & Translational Intelligence

Research at SGP is not an isolated academic function. It is the connective layer that informs how we manufacture formulations, design devices, and engineer robotic systems. This page outlines our core research directions and how they translate into real-world platforms.

Botanical Intelligence & Formulation Science

Our botanical research focuses on understanding how multi-component formulations interact with biological systems, and how extraction architectures preserve clinically relevant compounds.

  • Botanical synergy and terrain-based formulation logic
  • Extraction architecture and compound preservation
  • Clinical feedback–driven refinement

Physiological Signals, Sensors & Data Research

This research stream underpins our IoT device platforms, ensuring that sensors capture structured, interpretable physiological data rather than superficial activity metrics.

  • High-fidelity signal acquisition and noise control
  • Protocol-driven data structuring
  • Longitudinal pattern interpretation

Clinical Systems, Automation & Robotics Research

Robotics research at SGP focuses on assistive automation, workflow optimisation, and safe human–machine collaboration in real clinical environments.

  • Human-in-the-loop automation models
  • Workflow optimisation and task delegation
  • Safety boundaries and governance

From Research to Real-World Systems

Each research stream feeds directly into manufacturing, device design, and system deployment through a continuous learning loop.

Research → Validation → Manufacturing → Deployment → Feedback → Refinement