what we offer
We deliver AI-powered digitalisation solutions for cooling energy systems, including district cooling operations — improving performance, reliability, and efficiency through real engineering expertise.
- services
Our Engineering Solutions
001
Digitalisation-as-a-Service (DaaS)
A model that enables organizations to accelerate digital transformation without building an in-house team of specialists.
Lower Cost, Higher Impact - Access digitalisation expertise, analytics, and AI capabilities without significant capital investment.
Accelerated Time-to-Value - Move from data collection to actionable insights faster through proven methodologies and ready-to-deploy solutions.
Measurable Business Outcomes - Improve reliability, reduce energy consumption, optimize maintenance, and enhance operational performance.
Balance efficiency and asset integrity through adaptive operating thresholds and multi-variable optimisation.
002
Autonomous Cooling System Optimisation
We enable the transition towards intelligent and autonomous operation of cooling energy systems.
Maximise cooling capacity and energy efficiency through intelligent load balancing and flow optimisation.
Optimise integrated plant, distribution, and transmission operations with dynamic setpoint management.
Reduce Low Delta T Syndrome and minimise pumping energy demand.
Balance efficiency and asset integrity through adaptive operating thresholds and multi-variable optimisation.
003
Physics-Based & AI-Powered Anomaly Detection
We develop AI-driven systems that detect early signs of abnormal behaviour in cooling energy systems.
Detect low-observability anomalies using physics-based models (e.g., refrigerant undercharge, evaporator icing, cooling tower degradation).
Identify hidden operational inefficiencies and abnormal operating behaviours.
Improve data reliability through automated process data cleansing.
Apply machine learning to detect process deviations and predict early-stage failures.
004
Forecasting & Predictive Intelligence
Transform data into foresight by predicting future demand, asset performance, risks, and operational outcomes.
Forecast anomalies to enable proactive planning before operational limits are reached
Predict cooling demand using weather-integrated load forecasting for improved capacity planning.
Forecast equipment reliability using statistical models (Weibull and Crow-AMSAA) to optimise maintenance strategy.
005
Condition Monitoring & Reliability Services
Monitor asset health, detect early signs of failure, and improve equipment reliability through data-driven maintenance strategies.
Conduct situational assessment of reliability and condition monitoring programs to identify gaps and improvement opportunities.
Review and optimise condition monitoring programs to avoid over- or under-maintenance.
Deliver vibration monitoring for routine assessment and advanced diagnostics.
Perform lubricant analysis through certified laboratory services.
Conduct Eddy Current Testing (ECT) for chiller tube condition assessment.
006
Integrated Asset Management Platform
A centralized platform that connects asset data, maintenance, reliability, and operational insights to improve decision-making and asset performance.
Dedicated CMMS designed for cooling energy applications, including tube management, valve chamber, and ETS modules with GIS/GPS integration.
Integrated Availability & Reliability (AVRE) module linked with maintenance planning for improved decision-making.
Developed by multidisciplinary engineers with district cooling design, operation, and maintenance experience.
Complete technical knowledge library covering maintenance strategy, reference failure rates, and asset design life.
007
Capability Development
Build organizational capabilities through structured training, knowledge transfer, and skills development programs.
