

Why Utility Intelligence Fails at Scale
Water and utilities manage critical infrastructure, yet rely on aging SCADA, manual dispatch, and siloed work orders. Coordinating distribution, treatment, field crews, demand, and compliance across vast networks remains constrained by legacy systems and data isolation.
Fragmented Infrastructure Domains
Distribution, treatment, pumping, field maintenance, and billing operate in silos. A pressure drop triggers SCADA alarms, but field teams lack downstream context while customer ops sees only complaints. Leaks persist for hours, treatment lags spikes, crews chase symptoms.
Legacy SCADA Constraints
Monitoring platforms use periodic polling, threshold alerts, static models. Pump/valve/meter/GIS/CMMS integrations are brittle, vendor-locked. Real-time pressure optimization or leak localization lacks granular, high-velocity data.
Manual Incident Response
Pipe bursts, pump failures, contamination, droughts trigger manual workflows: scan alarms, reactive dispatch, guess impacts. No system models "Valve V47 closure impact on 20 districts for 4 hours?" or preemptively sheds load.
Sovereignty & Data Barriers
Regulated data—consumption, quality telemetry, infrastructure locations—demands on-premise processing. Edge decisions are essential, but centralized clouds violate latency and privacy rules.
How does AHOY technology integrate into this? With its sovereign infrastructure (utility DCs, remote stations), AHOY Tech integrates legacy SCADA/CMMS via adapters, delivers predictive intelligence without disruption.
How AHOY's Technologies Apply

AHOY-GTS
Distribution Network Orchestration
Solution:
GTS models pipes, pumps, valves, reservoirs, and districts as a dynamic geo-temporal hydraulic graph. Continuously recomputes pressure profiles, flow balancing, and valve settings from live SCADA/telemetry and demand forecasts. A burst or drought triggers network-wide adjustments—valve closures, pump rescheduling, treatment prioritization—all validated against pressure limits, quality constraints, and capacity.

AHOY-GTS
Distribution Network Orchestration
Solution:
GTS models pipes, pumps, valves, reservoirs, and districts as a dynamic geo-temporal hydraulic graph. Continuously recomputes pressure profiles, flow balancing, and valve settings from live SCADA/telemetry and demand forecasts. A burst or drought triggers network-wide adjustments—valve closures, pump rescheduling, treatment prioritization—all validated against pressure limits, quality constraints, and capacity.

AHOY-GTS
Distribution Network Orchestration
Solution:
GTS models pipes, pumps, valves, reservoirs, and districts as a dynamic geo-temporal hydraulic graph. Continuously recomputes pressure profiles, flow balancing, and valve settings from live SCADA/telemetry and demand forecasts. A burst or drought triggers network-wide adjustments—valve closures, pump rescheduling, treatment prioritization—all validated against pressure limits, quality constraints, and capacity.

AHOY-G-RAG
Compliance & Asset Reasoning
Solution:
G-RAG indexes regulations, maintenance records, asset specs, and GIS into a queryable graph over GTS. Agents ask: "Valve V42 maintenance impact on district D17 drinking water pressure?" or "Legal leak thresholds for industrial vs residential zones?" Answers ground field coordination in live network state.

AHOY-G-RAG
Compliance & Asset Reasoning
Solution:
G-RAG indexes regulations, maintenance records, asset specs, and GIS into a queryable graph over GTS. Agents ask: "Valve V42 maintenance impact on district D17 drinking water pressure?" or "Legal leak thresholds for industrial vs residential zones?" Answers ground field coordination in live network state.

AHOY-G-RAG
Compliance & Asset Reasoning
Solution:
G-RAG indexes regulations, maintenance records, asset specs, and GIS into a queryable graph over GTS. Agents ask: "Valve V42 maintenance impact on district D17 drinking water pressure?" or "Legal leak thresholds for industrial vs residential zones?" Answers ground field coordination in live network state.

AHOY-AVML
Site & Infrastructure Perception
Solution:
Edge AV/ML monitors pump stations, treatment plants, reservoirs for intrusions, equipment anomalies, visual leaks, or analog gauge readings—without sending raw video off-premise. Observations update GTS ("pump P19 vibration anomaly") and G-RAG context, fusing physical reality with hydraulic models.

AHOY-AVML
Site & Infrastructure Perception
Solution:
Edge AV/ML monitors pump stations, treatment plants, reservoirs for intrusions, equipment anomalies, visual leaks, or analog gauge readings—without sending raw video off-premise. Observations update GTS ("pump P19 vibration anomaly") and G-RAG context, fusing physical reality with hydraulic models.

AHOY-AVML
Site & Infrastructure Perception
Solution:
Edge AV/ML monitors pump stations, treatment plants, reservoirs for intrusions, equipment anomalies, visual leaks, or analog gauge readings—without sending raw video off-premise. Observations update GTS ("pump P19 vibration anomaly") and G-RAG context, fusing physical reality with hydraulic models.

OPTIMIZATION CORE
Pressure, Flow, and Energy Optimization
Solution:
Constraint-aware solver optimizes across the network—balancing pressure, minimizing NRW (non-revenue water), prioritizing critical customers. Uses live GTS state to evaluate tradeoffs: "Boosting pump P7 cuts district D4 pressure by 8%—acceptable under drought rules?"

OPTIMIZATION CORE
Pressure, Flow, and Energy Optimization
Solution:
Constraint-aware solver optimizes across the network—balancing pressure, minimizing NRW (non-revenue water), prioritizing critical customers. Uses live GTS state to evaluate tradeoffs: "Boosting pump P7 cuts district D4 pressure by 8%—acceptable under drought rules?"

OPTIMIZATION CORE
Pressure, Flow, and Energy Optimization
Solution:
Constraint-aware solver optimizes across the network—balancing pressure, minimizing NRW (non-revenue water), prioritizing critical customers. Uses live GTS state to evaluate tradeoffs: "Boosting pump P7 cuts district D4 pressure by 8%—acceptable under drought rules?"

AHOY-MLOps
Sovereign Utility AI
Solution:
MLOps deploys leak prediction, demand forecasting, and anomaly models into utility data centers/remote sites with cryptographic data verification. Continuous retraining on local patterns (seasonal demand, burst clusters, quality events) without cloud dependency.

AHOY-MLOps
Sovereign Utility AI
Solution:
MLOps deploys leak prediction, demand forecasting, and anomaly models into utility data centers/remote sites with cryptographic data verification. Continuous retraining on local patterns (seasonal demand, burst clusters, quality events) without cloud dependency.

AHOY-MLOps
Sovereign Utility AI
Solution:
MLOps deploys leak prediction, demand forecasting, and anomaly models into utility data centers/remote sites with cryptographic data verification. Continuous retraining on local patterns (seasonal demand, burst clusters, quality events) without cloud dependency.

FEDERATED LEARNING
Cross-Utility Intelligence
Solution:
Models learn from patterns across utilities (different cities, opcos) via federated learning—only weights exchange, raw telemetry stays local. A leak model benefits from drought patterns elsewhere without sharing sensitive consumption data.

FEDERATED LEARNING
Cross-Utility Intelligence
Solution:
Models learn from patterns across utilities (different cities, opcos) via federated learning—only weights exchange, raw telemetry stays local. A leak model benefits from drought patterns elsewhere without sharing sensitive consumption data.

FEDERATED LEARNING
Cross-Utility Intelligence
Solution:
Models learn from patterns across utilities (different cities, opcos) via federated learning—only weights exchange, raw telemetry stays local. A leak model benefits from drought patterns elsewhere without sharing sensitive consumption data.
Failings of Traditional Utilities Tech
Comparing structural approaches to industry challenges.
Comparing structural approaches to industry challenges.
Dimension
Conventional Approach
AHOY Architecture
Decision Velocity
Hours (manual dispatch, work orders)
Seconds (agent-orchestrated)
Decision Velocity
Hours (manual dispatch, work orders)
Seconds (agent-orchestrated)
Decision Velocity
Hours (manual dispatch, work orders)
Seconds (agent-orchestrated)
Data Architecture
Siloed SCADA, static GIS
Unified graph, edge perception
Data Architecture
Siloed SCADA, static GIS
Unified graph, edge perception
Data Architecture
Siloed SCADA, static GIS
Unified graph, edge perception
Disruption Handling
Reactive alarms, heuristic response
Predictive simulation, auto-mitigation
Disruption Handling
Reactive alarms, heuristic response
Predictive simulation, auto-mitigation
Disruption Handling
Reactive alarms, heuristic response
Predictive simulation, auto-mitigation
Privacy & Sovereignty
Cloud export or vendor silos
Zero-trust, data stays on-site
Privacy & Sovereignty
Cloud export or vendor silos
Zero-trust, data stays on-site
Privacy & Sovereignty
Cloud export or vendor silos
Zero-trust, data stays on-site
Deployed Systems
OPERATIONAL
Predictive Leak Localization
MENA Water Authority
GTS + AV/ML has the potential to pinpoint leaks within 50m using pressure/telemetry fusion, cutting NRW by 22% and search times from days to hours.
Partner:
National Water Company
Predictive Leak Localization
MENA Water Authority
GTS + AV/ML has the potential to pinpoint leaks within 50m using pressure/telemetry fusion, cutting NRW by 22% and search times from days to hours.
Partner:
National Water Company
Pressure Management Network
European Utility
Optimization Core dynamically adjusts 1,200+ valves/PRVs based on live demand and quality constraints, saving 18% energy while maintaining service levels.
Partner:
Regional Water Board
Pressure Management Network
European Utility
Optimization Core dynamically adjusts 1,200+ valves/PRVs based on live demand and quality constraints, saving 18% energy while maintaining service levels.
Partner:
Regional Water Board
Pump Station Health Platform
GCC Wastewater Operator
AV/ML edge models monitor 450 stations for vibration, flooding, intrusion—GTS correlates with SCADA to preempt failures, reducing unplanned outages 35%.
Partner:
Wastewater Treatment Corp
Pump Station Health Platform
GCC Wastewater Operator
AV/ML edge models monitor 450 stations for vibration, flooding, intrusion—GTS correlates with SCADA to preempt failures, reducing unplanned outages 35%.
Partner:
Wastewater Treatment Corp
Demand-Responsive Treatment
Southeast Asia Utility
Agentic AI + GTS balances treatment plant output against live reservoir levels and forecasts, avoiding shortages and overflows during monsoons/droughts.
Partner:
Municipal Water Agency
Demand-Responsive Treatment
Southeast Asia Utility
Agentic AI + GTS balances treatment plant output against live reservoir levels and forecasts, avoiding shortages and overflows during monsoons/droughts.
Partner:
Municipal Water Agency
Predictive Leak Localization
MENA Water Authority
GTS + AV/ML has the potential to pinpoint leaks within 50m using pressure/telemetry fusion, cutting NRW by 22% and search times from days to hours.
Partner:
National Water Company
Pump Station Health Platform
GCC Wastewater Operator
AV/ML edge models monitor 450 stations for vibration, flooding, intrusion—GTS correlates with SCADA to preempt failures, reducing unplanned outages 35%.
Partner:
Wastewater Treatment Corp
Pressure Management Network
European Utility
Optimization Core dynamically adjusts 1,200+ valves/PRVs based on live demand and quality constraints, saving 18% energy while maintaining service levels.
Partner:
Regional Water Board
Demand-Responsive Treatment
Southeast Asia Utility
Agentic AI + GTS balances treatment plant output against live reservoir levels and forecasts, avoiding shortages and overflows during monsoons/droughts.
Partner:
Municipal Water Agency
What Else Becomes Possible
Once the foundational system is in place, higher-order intelligence emerges across the entire operational landscape.




