Physics-aware AI for cooling optimization of buildings.
An optimization layer over your existing BMS. Continuously identifies lower-energy operating strategies, targeting up to 15% less cooling energy — no replacement of existing HVAC or BMS infrastructure, with comfort held as a hard constraint.
The platform
Intelligence for the plant you already run.
EnthalpyX connects to your BMS and continuously identifies a lower-energy way to meet the cooling demand you actually have — not the design-day the schedules were written for — adapting as weather and load change.
- No major mechanical upgrades. Software-led — no replacement of your existing HVAC or BMS infrastructure.
- Native BMS integration. BACnet/IP, Modbus and Tridium Niagara.
- Edge + cloud architecture. A lightweight on-site gateway reads plant data and connects outbound to our cloud. No inbound ports, no direct exposure of the BMS.
- Fail-safe by design. If the connection drops, your BMS reverts to its own schedules. Nothing in the building depends on us being online.
Learns the building, identifies lower-energy operating strategies
Remains in full control of execution, exactly as today
Chillers, pumps, cooling towers, AHUs — untouched
Under the hood
The predictive power of AI, held to the rigor of physics.
EnthalpyX models the cooling system as one connected thermal system and continuously identifies lower-energy operating strategies while respecting comfort, equipment, and operational limits.
- System view
-
Your cooling plant as one connected system
EnthalpyX learns how your specific building responds — not how an average building responds — and adapts as conditions change.
- Control variables
-
The levers your plant already has
Chilled-water supply temperature reset, condenser-water setpoints, chiller staging and sequencing, pump speeds, and pre-cool windows.
- Optimization
-
A better way to meet the same cooling demand
Instead of holding to a fixed schedule, EnthalpyX continuously identifies a lower-energy operating strategy for the conditions you’re in right now.
- Constraints
-
Physics-bounded, always
Every recommendation is checked against equipment operating envelopes and the comfort and safety limits your team defines. A strategy that violates either is never surfaced.
- M&V
-
Savings measured against an agreed baseline
Pilot measurement and verification follows IPMVP principles, with the baseline and measurement boundary agreed with your team before optimization begins.
Working with us
Autonomy you adopt step by step.
Control is earned in three stages — and your team decides when to move to the next one.
We connect, build the baseline, and validate the model against your operating data. You see where the waste is and what it’s worth before anything changes.
The platform generates optimized setpoints; your operators review and execute them. Savings are measured against the agreed baseline as you go.
Fully automated optimization inside operational boundaries your team defines — continuous, and never outside the lines you drew.
RH 51% ✓
Each recommendation includes projected impact and a confidence level. In advisory mode, operators review and choose whether to send setpoints to the BMS.
Baseline agreed with the operations team before any setpoint changes. Independent variables track weather and occupancy so savings reflect optimization — not weather that would have driven the bill lower anyway.
Anything that touches comfort, equipment envelopes, sensor health or data quality is surfaced here — well before it shows up on a complaint log.
The platform never optimizes outside these limits. Changes are logged and require operator confirmation.
Illustrative UI with sample data — not a live deployment. Every real engagement starts in advisory mode.
What changes
Less energy in. Nothing taken away.
- Targeting up to 15% less cooling energyReduction target for plants running static schedules — measured against an agreed baseline per pilot
- Software-led payback profileBecause there’s no mechanical retrofit, savings begin from deployment rather than after a capex cycle
- Higher NOI potentialRecurring savings flow to operating income once verified in your building
- Comfort is a constraint, not a trade-offComfort limits are enforced before any saving is counted
- Gentler on the plantSmoother staging and fewer cycling events reduce mechanical stress
- Nothing new to maintainNo boxes on the wall, no extra maintenance contract
- Lower carbon and water footprintLess compressor work and less cooling-tower make-up water
- Documentation designed for reviewBaseline, methodology and results structured to support ESG reporting and third-party review
Where we work
Engineered where cooling is the whole game.
In the GCC, cooling isn’t a season — it’s the operating condition. EnthalpyX is built for 45–50 °C ambient temperatures, high-humidity coastal profiles, and buildings where cooling dominates the energy bill year-round. Optimization tuned on mild climates doesn’t transfer here. Ours was never anywhere else.
The first step
We start read-only.
Every engagement begins in advisory mode: we connect to your BMS, build a documented baseline, and show you where the savings are expected to be — before a single setpoint changes. If the evidence isn’t there, you’ll know early, and so will we.