Why Legacy Telco Ops Can’t Keep Up
Telcos have real-time data everywhere, but most networks still run on alarms, tickets, and war rooms. The real challenge is coordinating RAN, transport, core, edge workloads, field teams, and partner services across millions of users with tools that were never designed for that scale.
Siloed Network Domains
Radio, transport, core, OSS/BSS, and field ops are managed as separate worlds. A backhaul outage appears in transport, RAN just sees bad KPIs, customer care only sees ticket spikes. Detection is slow, work is duplicated, and fixes are inconsistent across teams.
Aging NMS and OSS Stacks
Monitoring and orchestration platforms are often 2G/3G-era designs: periodic polling, static topology maps, brittle point-to-point integrations between vendors and layers. They can’t provide real-time, cross-domain intelligence because they were never built around a single, live network graph.
War-Room Incident Management
Major incidents like fiber cuts, power failures, software bugs, misconfigurations still mean bridge calls and manual alarm correlation. Engineers hop between tools, guessing blast radius and mitigation. There’s no engine that can simulate, in seconds, the impact of “reroute this traffic through ring B” or “shed load from this cluster now.”
Sovereignty and Edge Pressure
Telcos now host critical workloads: national IDs, payment systems, government and enterprise edge AI. Regulations and contracts often forbid sending raw telemetry or user data to public clouds, just as 5G and edge use cases demand ultra-low latency and local decisions. Centralized cloud architectures simply don’t fit that tension.
AHOY’s dev tooling stack is built for this world: it runs on sovereign infrastructure (operator data centers and edge sites), connects to heterogeneous vendor gear via lightweight adapters, and adds real-time, cross-domain intelligence without forcing a full OSS/NMS replacement.
How AHOY's Technologies Apply
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-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-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-G-RAG
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-G-RAG
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-G-RAG
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.
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.
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?"
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?"
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.
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.
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.
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.
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.
Why Conventional Platforms Fall Short
Comparing structural approaches to industry challenges.
Comparing structural approaches to industry challenges.
Dimension
Conventional Approach
AHOY Architecture
Decision Velocity
Minutes–hours (war rooms, human correlation)
Milliseconds–seconds (agent-first)
Decision Velocity
Minutes–hours (war rooms, human correlation)
Milliseconds–seconds (agent-first)
Decision Velocity
Minutes–hours (war rooms, human correlation)
Milliseconds–seconds (agent-first)
Data Architecture
Vendor-siloed NMS, central OSS
Federated, graph-native, edge-aware
Data Architecture
Vendor-siloed NMS, central OSS
Federated, graph-native, edge-aware
Data Architecture
Vendor-siloed NMS, central OSS
Federated, graph-native, edge-aware
Disruption Handling
Static playbooks, manual reroutes
Dynamic graph optimization, simulation
Disruption Handling
Static playbooks, manual reroutes
Dynamic graph optimization, simulation
Disruption Handling
Static playbooks, manual reroutes
Dynamic graph optimization, simulation
Privacy & Sovereignty
Cloud export or vendor lock-in
Zero-trust, data stays in-network
Privacy & Sovereignty
Cloud export or vendor lock-in
Zero-trust, data stays in-network
Privacy & Sovereignty
Cloud export or vendor lock-in
Zero-trust, data stays in-network
Deployed Systems
OPERATIONAL
Self-Healing Backhaul Mesh
Tier-1 MENA Operator
GTS and the Optimization Core run over IP/MPLS/optical backhaul to detect failures and congestion in real time, automatically recomputing routes and load balancing critical traffic, including 5G slices and enterprise VPNs. Outage impact windows shrink and MTTR improves without manual reconfiguration.
Self-Healing Backhaul Mesh
Tier-1 MENA Operator
GTS and the Optimization Core run over IP/MPLS/optical backhaul to detect failures and congestion in real time, automatically recomputing routes and load balancing critical traffic, including 5G slices and enterprise VPNs. Outage impact windows shrink and MTTR improves without manual reconfiguration.
Field Operations & Site Health Platform
Pan-Regional TowerCo
AV/ML monitors tower sites for door status, intrusion, flooding, smoke, and equipment anomalies via edge cameras and sensors. GTS correlates these with alarms and power status, while Orchestration triggers guided workflows for field teams, reducing unnecessary truck rolls and shortening real incidents.
Field Operations & Site Health Platform
Pan-Regional TowerCo
AV/ML monitors tower sites for door status, intrusion, flooding, smoke, and equipment anomalies via edge cameras and sensors. GTS correlates these with alarms and power status, while Orchestration triggers guided workflows for field teams, reducing unnecessary truck rolls and shortening real incidents.
Edge Workload Orchestration Fabric
European 5G & MEC Deployment
Agentic AI, backed by GTS and G-RAG, dynamically places and migrates low-latency workloads (AR/VR, gaming, industrial telemetry) across MEC sites based on live radio load, backhaul conditions, and SLA requirements. Latency targets are met more consistently while keeping hardware utilization efficient.
Edge Workload Orchestration Fabric
European 5G & MEC Deployment
Agentic AI, backed by GTS and G-RAG, dynamically places and migrates low-latency workloads (AR/VR, gaming, industrial telemetry) across MEC sites based on live radio load, backhaul conditions, and SLA requirements. Latency targets are met more consistently while keeping hardware utilization efficient.
Customer Experience-aware Routing
Converged Operator (Mobile + Fixed
G-RAG and GTS combine SLA definitions, premium customer segments, and network topology to steer traffic for high-value services (e.g., financial trading, healthcare connectivity) through most reliable paths during partial failures, preserving contract KPIs under stress.
Customer Experience-aware Routing
Converged Operator (Mobile + Fixed
G-RAG and GTS combine SLA definitions, premium customer segments, and network topology to steer traffic for high-value services (e.g., financial trading, healthcare connectivity) through most reliable paths during partial failures, preserving contract KPIs under stress.
Self-Healing Backhaul Mesh
Tier-1 MENA Operator
GTS and the Optimization Core run over IP/MPLS/optical backhaul to detect failures and congestion in real time, automatically recomputing routes and load balancing critical traffic, including 5G slices and enterprise VPNs. Outage impact windows shrink and MTTR improves without manual reconfiguration.
Edge Workload Orchestration Fabric
European 5G & MEC Deployment
Agentic AI, backed by GTS and G-RAG, dynamically places and migrates low-latency workloads (AR/VR, gaming, industrial telemetry) across MEC sites based on live radio load, backhaul conditions, and SLA requirements. Latency targets are met more consistently while keeping hardware utilization efficient.
Field Operations & Site Health Platform
Pan-Regional TowerCo
AV/ML monitors tower sites for door status, intrusion, flooding, smoke, and equipment anomalies via edge cameras and sensors. GTS correlates these with alarms and power status, while Orchestration triggers guided workflows for field teams, reducing unnecessary truck rolls and shortening real incidents.
Customer Experience-aware Routing
Converged Operator (Mobile + Fixed
G-RAG and GTS combine SLA definitions, premium customer segments, and network topology to steer traffic for high-value services (e.g., financial trading, healthcare connectivity) through most reliable paths during partial failures, preserving contract KPIs under stress.
What Else Becomes Possible
Once the foundational system is in place, higher-order intelligence emerges across the entire operational landscape.
