Use Cases

Real-World AI.

Real deployments.

AHOY's stack is operational across four critical sectors. Each deployment maps the same underlying technologies to a different set of physical systems—proving the stack works wherever intelligence needs to run locally, sovereignly, and at scale.

Aviation

Smart Cities

Water & Utilities

Telecom

Aviation Operations

AI and Advanced Algorithms for Complex Airside Systems

Moving from static schedules to dynamic orchestration. How AHOY's research and technologies power real-world airport and airspace infrastructure.

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Operational Fragmentation

Ground handlers, ATC, airlines, and fueling operate on disconnected data silos, leading to cascading delays.

Legacy Constraints

Core systems often run on mainframes from the 1990s, making real-time data integration nearly impossible.

Reactive Recovery

Disruptions (weather, technical) are handled manually via phone and radio, resulting in sub-optimal recovery.

Sovereignty & Security

Data cannot leave the airport premise due to national security regulations, ruling out public cloud AI.

AHOY tools deployed:

AHOY GTS

Turnaround Optimization

Solution:

Real-time routing of ground support equipment (GSE) based on predicted landing times, not scheduled ones.

AHOY Data Intelligence

Complex Regulations (NOTAMs)

Solution:

Agents reason over thousands of pages of operational manuals and live NOTAMs to advise controllers.

AHOY AVML

Apron Blindspots

Solution:

Federated computer vision monitors turnaround events (chocks on/off) without sending video to the cloud.

OPTIMIZATION CORE

Gate Allocation

Solution:

Constraint-aware solving for gate assignment that minimizes passenger transit time and maximizes retail flow.

AHOY MLOps

Sovereign AI

Solution:

Deploys models on-premise at the airport data center with cryptographic verification of training data.

FEDERATED LEARNING

Multi-Airport Learning

Solution:

Models learn from disruption patterns across airports without ever sharing sensitive operational data.

Smart Cities

AI and Advanced Algorithms for City-Scale Operations

Moving from dashboards to dynamic orchestration. How AHOY's research and technologies power real-world urban infrastructure across traffic, transit, utilities, and emergency services.

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Disconnected Urban Systems

Traffic, transit, freight, emergency services, and parking operate in silos. One blocked arterial cascades into 50,000 disrupted trips.

Outdated Infrastructure

Core systems run on 1980s-era SCADA and protocols. Real-time integration is bottlenecked by 15-minute batch updates.

Manual Crisis Response

Accidents and weather trigger manual intervention. No system can model the full network impact of rerouting alternatives in real time.

Data Sovereignty Barriers

License plates, transit patterns, emergency calls cannot go to public clouds. Intelligence must run locally while benefiting from multi-jurisdiction patterns.

AHOY tools deployed:

AHOY GTS

City-Wide Traffic Orchestration

Solution:

GTS models the entire urban network as a dynamic geo-temporal graph, continuously recomputing signals, routes, and priorities from live sensors and predictions. Major incidents trigger network-wide responses—retimed signals, transit reroutes, emergency lanes—all validated against hardware and schedule constraints.

AHOY Data Intelligence

Regulatory and Event Reasoning

Solution:

G-RAG indexes municipal codes, permits, and events into a queryable knowledge graph over GTS. Agents ask: "Legal detours around C12 construction for next 4 hours?" Answers ground in live network state for cross-department coordination.

AHOY Data Intelligence

Regulatory and Event Reasoning

Solution:

AHOY AVML

Urban Perception Layer

Solution:

Federated AV/ML processes edge video to detect incidents, count vehicles, and monitor violations—without sending raw feeds off-premise. Observations update GTS ("corridor X blocked") and enrich G-RAG context for fully local perception-to-action loops.

AHOY AVML

Urban Perception Layer

Solution:

OPTIMIZATION CORE

Multi-Modal Capacity Allocation

Solution:

Constraint-aware solver optimizes cars, transit, bikes, freight, emergencies—minimizing delay while respecting equity, emissions, infrastructure limits. Uses live GTS state to predict tradeoffs (e.g., "Bus priority adds 15% car delay—acceptable?").

AHOY MLOps

Sovereign City AI

Solution:

MLOps deploys vision, prediction, and optimization models into municipal data centers with cryptographic data verification. Models retrain continuously on city-specific data (traffic patterns, event responses) without external dependencies.

FEDERATED LEARNING

Cross-City Intelligence

Solution:

Models aggregate patterns across cities via federated learning. Only weights exchange; raw data (camera feeds, transit logs) stays local. A city's flood response benefits from another city's protest patterns without data sharing.

FEDERATED LEARNING

Cross-City Intelligence

Solution:

Water & Utilities

AI and Advanced Algorithms for Infrastructure Operations

Moving from reactive SCADA to predictive orchestration. How AHOY's research and technologies power real-world water, wastewater, and utility networks.

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Fragmented Infrastructure Domains

Distribution, treatment, pumping, maintenance, and billing operate in silos. Leaks persist for hours as teams chase symptoms independently.

Legacy SCADA Constraints

Periodic polling, threshold alerts, static models. Brittle vendor-locked integrations. No real-time pressure optimization or leak localization.

Manual Incident Response

Pipe bursts trigger manual workflows. No system models the downstream impact of valve closures across 20 districts for 4 hours.

Sovereignty & Data Barriers

Consumption data, quality telemetry, and infrastructure locations demand on-premise processing. Edge decisions are essential; central clouds violate latency and privacy rules.

AHOY tools deployed:

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 Data Intelligence

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 Data Intelligence

Compliance & Asset Reasoning

Solution:

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:

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:

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:

Telecom & Connectivity

AI and Advanced Algorithms for Network-Scale Operation

Moving from static NMS dashboards to dynamic, sovereign orchestration. How AHOY's research and technologies power real-world telecom infrastructure at scale.

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Siloed Network Domains

Radio, transport, core, OSS/BSS, and field ops are managed as separate worlds. A backhaul outage appears in transport while RAN just sees bad KPIs.

Aging NMS and OSS Stacks

2G/3G-era monitoring: periodic polling, static topology maps, brittle point-to-point vendor integrations. No real-time cross-domain intelligence.

War-Room Incident Management

Major incidents still mean bridge calls and manual alarm correlation. No engine can simulate "reroute this traffic through ring B" in seconds.

Sovereignty and Edge Pressure

Telcos now host national IDs, payments, and government edge AI. Regulations forbid cloud export just as 5G demands ultra-low latency local decisions.

AHOY tools deployed:

AHOY GTS

Network Topology Orchestration

Solution:

GTS models RAN sites, backhaul rings, IP/optical links, and edge locations as a dynamic geo-temporal graph. Continuously recomputes routing, workload placement, and maintenance from live telemetry and predictions. Fiber cuts trigger network-wide reroutes and workload shifts, validated against capacity, SLAs, and vendor constraints.

AHOY Data Intelligence

Policy & SLA Reasoning

Solution:

G-RAG indexes topology, SLAs, policies, and vendor docs into a queryable graph over GTS. Agents ask: "Maintenance M42 impact on 5G slices?" or "Router R17 redundancy violations?" Answers ground cross-team coordination in live network state.

AHOY AVML

Site & Edge Perception

Solution:

Edge AV/ML monitors towers/shelters for intrusions, gauges, and work validation—without sending raw video off-premise. Observations update GTS ("site S23 on generator") and G-RAG context, fusing physical reality with logical network state.

OPTIMIZATION CORE

Capacity & Workload Optimization

Solution:

Constraint-aware solver balances traffic, minimizes loss, enforces redundancy/latency/energy policies. Uses live GTS to evaluate tradeoffs: "Edge workload shift cuts 12ms latency but adds 8% backbone load—acceptable?"

AHOY MLOps

Sovereign Network AI

Solution:

Deploys forecasting, anomaly detection, and optimization models into operator DCs/MEC sites with cryptographic data verification. Continuous retraining on local patterns (load cycles, roaming, slices) without cloud dependency.

FEDERATED LEARNING

Cross-Network Intelligence

Solution:

Models learn across operators/regions via federated learning—only weights exchange, raw telemetry stays local. Congestion models benefit from other networks' patterns (festivals, storms) while preserving data isolation.