Zodhya: Built to make energy truly intelligent

Zodhya is a global pioneer in platforms that make energy adaptive and resilient

Buildings run continuously, with fluctuating thermal loads, ageing equipment, rising energy costs and increasing compliance demands.
Zodhya's platform is an asset-light AI that quickly integrates with your existing equipment and power systems, identifying energy loss and optimising performance in real-time.
It continuously adapts the building systems to local building demand and climate, delivers verifiable energy savings (IPMVP standards ) from Day 1, and keeps buildings compliance-ready without infrastructure changes or disruption.

Featured Projects

AI-driven HVAC optimisation to reduce energy bill on the space heating/ cooling and improve thermal comfort

A major retail mall, by deploying SaverX, a non-intrusive HVAC optimisation solution, utilises the adaptive thermal optimisation & mapping (ATOM) approach to adjust HVAC parameters dynamically. The solution didn’t affect user-level comfort by adapting to building behaviour and HVAC efficiency.

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Impact

25% Direct energy reduction on the HVAC systems.

USD 4K Savings on annual maintenance costs and longer equipment life.

ASHRAE Compliant Improved thermal comfort and room temperature stability ASHRAE(Standard 55/ TC9.9)

ML-driven recommendation engine to fix the ongoing energy losses and equipment downtime.

For a precision equipment manufacturing facility, Soul was deployed. Its Power Reliability Intelligence and Diagnosis Engine (PRIDE approach) detected load and phase imbalances, predicted electrical faults in advance, and delivered machine-level operational recommendations

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Impact

17% Energy Reduction

15 hrs Monthly Downtime Avoided

USD 20K Annual Savings

Reduced payback period for solar+BESS system with AI-driven demand optimisation

An office building with a solar rooftop and BESS (Battery Energy Storage Systems) faces varying energy demands throughout the day and encounters peak tariffs. The systems were unable to capture the variance in solar generation and battery health. By deploying the Energymix solution, the AI-driven scheduler enabled optimal battery charge–discharge, improved storage health, and aligned energy use with tariffs and solar availability, thereby accelerating ROI on existing solar and battery investments.

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