From planning and commissioning to daily operations and scaling, RDA delivers the intelligence needed to reduce energy costs, unlock capacity, mitigate operational risk, and accelerate decisions across next-generation AI infrastructure.
High performance (near Real-time) Air-Liquid Hybrid Simulation to support your opertion excellence. RDA’s digital twin simulates thermal, Server, power, and operational scenarios in real time, allowing teams to validate changes, optimize configurations, and mitigate risk.
Business Impact
Builder for High-fidelity digital twin model for IT, power, cooling and building systems.
Real-time simulation of coolant flow, pressure drop, heat exchange, and liquid-cooling system risk.
CFD-based airflow and temperature distribution analysis to identify hotspots and inefficiencies.
Reduce PUE / WUE / CUE through simulation and control strategy
Real-time prediction of IT load impact on rack temperature, airflow, and thermal hot spots.
Dynamic scenario exploration across operational and design variables before commitment.
Forecast future IT and infrastructure requirements accurately to prevent under- or over-provisioning.
Balance power usage, cooling efficiency, and physical constraints when placing IT loads.
Identify airflow inefficiencies and thermal risks before deployment — reduce hotspots and improve reliability.
Ensure new designs meet performance, resilience, and energy benchmarks before implementation.
Compare upgrade strategies side-by-side to determine the best ROI and operational impact.
Turn every megawatt into competitive advantage. RDA continuously optimizes cooling, power, and facility systems using physics-informed AI, reducing energy waste, improving PUE, and unlocking hidden infrastructure capacity without compromising operational resilience.
Business Impact
AI-driven control and sequencing of chillers, cooling towers, and pumps to minimise energy consumption while maintaining thermal stability.
Optimisation of airflow, temperature setpoints, and load distribution within data halls to reduce overcooling and improve cooling efficiency.
Holistic optimisation of Power and Water Usage Effectiveness through coordinated control of cooling, power, and water systems.
Simulate cooling strategies, setpoints, and load scenarios to identify the most energy-efficient operating conditions before deployment.
Detect inefficiencies, equipment degradation, or abnormal energy patterns early — enabling proactive intervention.
Fine-tune system performance in real time to reduce energy consumption, lower operational costs, and improve sustainability metrics.
Provide operators with actionable insights and automated recommendations under dynamic load and environmental conditions.
Optimize liquid cooling and air cooling infrastructure as hybrid cooling system. RDA monitors and predicts thermal behavior across CDUs, cooling loops, racks, and facility systems, enabling safe, efficient, and scalable liquid cooling operations for high-density AI workloads.
Business Impact
Detect early signs of flow instability, pressure drops, leakage risks, or thermal hotspots before they impact IT performance.
Continuously optimise pump speeds, valve positions, and flow distribution to maintain ideal cooling while minimising energy.
High-fidelity simulations of coolant behaviour under varying loads — precise tuning of temperature and flow across racks and loops.
Precise mapping of liquid cooling loops, rack layouts, CDU placement, and pipe routing.
Simulate coolant flow, heat transfer, pressure distribution, and temperature gradients across the system.
Machine learning trained on historical flow, pressure, and thermal data to predict anomalies and optimise performance.
Analyse pump capacity, flow distribution, and system resistance to ensure balanced and efficient cooling delivery.
Move from tedious and complex operations & maintenance to intelligent AI infrastructure. RDA deploys AI agents that understand operational context, predict anomalies, recommend actions, and automate workflows, empowering operators to manage increasingly complex AI infrastructure at scale.
Business Impact
The Challenge
Facility data cannot leave the site. Experts must travel physically for every assignment. Institutional knowledge walks out the door when they do.
The Challenge
Specialist teams are spread thin and rotated between sites. Junior operators are left facing high-stakes decisions without adequate support.
What Your Team Gets
Always ready and available for every shift. Continuous analysis without dependency on specialist schedules.
Continuous build-up of institutional, site, and domain knowledge. Learns from every user and team interaction. Enhances onboarding for new operators joining the facility.
Handles heavy lifting in data collation, analysis, and reporting. Operators focus on decisions and execution. Configurable for site-specific requirements and operational context.