The Resource Operating System
for AI Data Centers
AquaWatt DC OS uses artificial intelligence, digital twins and safety-constrained optimization to coordinate power, water, cooling and compute—helping data centers increase resource efficiency without compromising uptime.
Platform simulation
24.7 MW
8.2 MW
380 L/min
1.38
0.82
78%
Low
142 gCO₂/kWh
AI compute is colliding with
physical infrastructure.
POWER
AI and high-density GPU workloads create increasing electrical demand.
WATER
Cooling strategies can consume significant water and become especially sensitive in water-constrained regions.
THERMAL
Higher rack density makes thermal conditions an operational and business constraint.
FRAGMENTATION
BMS, DCIM, workload schedulers, utility signals and sustainability systems rarely make decisions together.
Power, water and compute are no longer separate problems.
One intelligent system.
Six coordinated stages.
Closed
Loop
Nine integrated modules.
One operating system.
Resource Command Center
Live visibility across power, water, cooling, carbon, cost and workload state.
Data Integration Fabric
Connect BMS, DCIM, SCADA, meters, sensors, workloads, weather and utility data.
Forecasting + Anomaly Intelligence
Forecast resource demand and detect abnormal operating conditions.
Data-Center Digital Twin
Simulate operating strategies before making changes.
Multi-Objective Optimization Engine
Balance energy, water, carbon, cost, peak demand, hardware wear, workload delay, reliability.
Workload Resource Orchestrator
Coordinate eligible workloads with facility and grid conditions.
Autonomous Control + Safety Layer
Policies, approvals, rollback, emergency stop and customer-controlled autonomy.
Sustainability + Financial Intelligence
PUE, WUE, CUE, ERE, savings, cost and environmental reporting.
AquaWatt AI Copilot
Natural-language investigation, scenario analysis and operational planning.
An operator’s copilot that explains before it acts.
Ask questions in plain language. The copilot forecasts, simulates against a digital twin, and returns recommendations with the reasoning and trade-offs behind them — always waiting for your approval before anything changes on the floor.
- Natural-language questions about your facility
- Recommendations backed by simulation, not guesswork
- Every action reversible and fully auditable
Cooling load in Hall 3 is climbing. What can we do without risking thermal limits?
I forecast Hall 3 inlet temps approaching your soft limit in ~40 min. Shifting 6% of non-urgent batch jobs to Hall 1 and raising chilled-water setpoint by 0.5°C keeps you within limits and reduces cooling energy.
Show me the trade-offs before I approve.
Here is the side-by-side: option A prioritizes energy, option B prioritizes thermal headroom. Both preserve uptime. Nothing changes until you approve, and I can roll back instantly.
Autonomy you dial in, safety you never give up.
You choose how much authority to delegate — from pure monitoring to supervised autonomy — and can change it at any time. Underneath every level, the same safety guarantees always hold.
Monitor
AquaWatt observes and reports. No actions are taken.
Advise
The platform recommends actions with full reasoning; operators decide.
Assisted
Operators approve recommendations, which AquaWatt then applies and verifies.
Supervised autonomy
Within operator-defined guardrails, routine actions run automatically, always reversible.
Always-on guarantees
More than a dashboard. An operating system.
Traditional DCIM and building-management tools tell you what happened. AquaWatt DC OS forecasts what’s next, recommends what to do, and — with your approval — acts and verifies the result.
Initial Pilot Targets
Targets, not guarantees. Results depend on facility conditions.
0
optimization-related SLA violations
0
critical unsafe control actions
Results will depend on facility design, operating conditions, workload profile, equipment, climate, water strategy and existing efficiency.
Calculate the opportunity.
Facility Parameters
Illustrative estimate — not a guaranteed AquaWatt result
Illustrative annual energy savings opportunity
$1.4M
Illustrative water savings opportunity
$113K
Estimated annual operating-cost opportunity
$2.7M
Prove AquaWatt in a
live data center.
Month 1
Discovery + Integration
Month 2
Data Validation + Baseline
Month 3
Forecasting + Anomaly Intelligence
Month 4–5
Optimization Recommendations
Month 6
Savings Verification + Expansion