Deploy AI-driven workloads where the data originates — at the network edge. Eliminate cloud-round-trip latency, reduce bandwidth costs, and unlock real-time autonomous decision-making across your enterprise operations.
5G.agency architects Multi-access Edge Computing (MEC) platforms, AI/ML inference pipelines, and hybrid edge-cloud orchestration environments — all aligned to ETSI GS MEC standards and your 5G private network.
Sending data to a centralised cloud for processing introduces round-trip latencies of 50–200ms. For autonomous robotics, real-time quality control, and safety-critical systems, that gap is the difference between success and failure.
Edge Intelligence moves the compute to where the data originates — inside your private 5G network, millimetres from the sensor or machine — delivering sub-10ms response times that cloud architectures simply cannot match.
Edge Architecture Overview
A full-stack advisory and design service covering every layer of your edge intelligence architecture — from MEC platform selection to AI model optimisation.
Design of ETSI GS MEC-compliant Multi-access Edge Computing platforms — selecting, sizing, and positioning edge nodes optimally within your private 5G topology for maximum performance and resilience.
Specialised optimisation of AI and machine learning models for deployment on resource-constrained edge hardware — maintaining accuracy while reducing computational load by up to 80%.
Deployment of computer vision inference workloads at the edge — processing live video streams from factory cameras and CCTV without transmitting raw video to the cloud, slashing bandwidth costs by up to 95%.
Hybrid orchestration architecture using Kubernetes and cloud-native tooling to manage workloads intelligently across edge nodes and cloud — ensuring latency-sensitive tasks run locally while batch workloads use cloud elasticity.
Edge-deployed ML models that continuously analyse sensor data streams to detect equipment anomalies, predict failure events, and trigger automated maintenance workflows — before downtime occurs.
Zero-Trust security design for edge environments — ensuring every workload, API endpoint, and data flow at the edge is authenticated, encrypted, and auditable, regardless of physical location.
Concrete use cases where edge AI on private 5G delivers measurable business outcomes — not theoretical frameworks.
Automotive · Electronics · Pharma
Computer vision models running on MEC nodes inspect 100% of production output in real-time — reducing defect escape rates by up to 94% vs. manual sampling.
Sub-1ms control loops for cobot arms eliminate safety stops and enable human-robot collaboration on shared production lines at full operational speed.
Edge ML models on vibration and acoustic sensors predict CNC machine failures 72 hours in advance — reducing unplanned downtime by an average of 67%.
Warehouses · Container Terminals
Edge AI coordinates hundreds of autonomous guided vehicles in real time — routing, collision avoidance, and priority management without cloud dependency.
Edge cameras with OCR and object detection models provide real-time inventory accuracy across 1M+ SKUs — eliminating manual cycle counts entirely.
MEC-powered 5G positioning provides real-time location of every pallet, container, and vehicle — enabling zero-dwell-time operations at scale.
Hospitals · Clinical Networks
Edge AI processes continuous biometric streams from 10,000+ IoMT devices locally — detecting deterioration events in <500ms with clinical-grade data sovereignty.
MEC-hosted surgical AR rendering delivers holographic overlays with <8ms motion-to-photon latency — enabling precise, real-time guidance for surgeons at the point of care.
Patient data never leaves the hospital premises — edge processing ensures GDPR, HIPAA, and NHS DSPT compliance by design, with no cloud exposure risk.
Vendor-neutral advisory across the full edge intelligence technology ecosystem.
Everything enterprise technology leaders ask us about MEC and edge AI deployment.
Start with a 5G Readiness Audit that includes a full edge intelligence capability assessment — and receive a concrete blueprint for deploying AI at the edge of your private 5G network.
Explore the full 5G.agency service portfolio.