Data centres
Support a clearer understanding of pipeline condition and risk in critical cooling infrastructure.
Continuity starts with cooling.
HENGILet’s talk ↗INTELLIGENCE FOR CRITICAL INFRASTRUCTURE
Physics-informed AI to understand pipeline risk and focus inspections where they matter most.
Demo coming at the end of 2026
Data centres
/Energy
/Industrial facilities
01 / OUR APPROACH
Inspection data is only the beginning. We’re developing a learning loop that connects physical models, failure risk and the next most valuable measurement.
Our approach combines physics-based simulations, sensor readings and historical records to model pipeline deterioration and identify potential failure risks.
THE CONCEPT IN ACTION
Explore our proposed assessment and inspection workflow, and the longer-term vision for infrastructure risk intelligence.
02 / APPLICATIONS
We’re focusing on infrastructure where unexpected failure can interrupt essential operations.
Support a clearer understanding of pipeline condition and risk in critical cooling infrastructure.
Continuity starts with cooling.Help operators focus inspection effort across high-value pipeline systems in power and oil facilities.
Keep essential systems moving.Bring fragmented asset records and condition data together to inform maintenance priorities.
Make every inspection count.From better maintenance decisions to a deeper understanding of infrastructure risk—for operators, insurers and investors.
↗03 / THE PEOPLE BEHIND HENGI
We’re a London-based team bringing together mechanical engineering, non-destructive evaluation and machine learning.
Our experience includes ultrasonic defect-detection and signal-processing research at Imperial College London. We’re building HENGI to turn that technical foundation into practical intelligence for the infrastructure we depend on.
DEMO COMING AT THE END OF 2026
Exploring a pilot, a research partnership or an investment?
We’d like to hear from you.