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Emerging Technology

Edge Computing Solutions

We deploy edge computing infrastructure that processes data at the source — eliminating cloud round-trip latency for real-time applications in industrial automation, smart cities, IoT networks, and anywhere milliseconds matter.

Edge NodesReal-Time ProcessingLow LatencyIoT EdgeIndustrial EdgeEdge AI
<5msEdge processing latency
90%Bandwidth reduction
LocalData sovereignty
OfflineResilient operation

What We Build

Edge Computing Capabilities

From edge node deployment through edge AI and real-time analytics — complete edge computing solutions that bring the power of the cloud to where your data is generated.

Edge Node Deployment

Selection, configuration, and deployment of edge computing hardware — ruggedised for industrial environments, optimised for your processing and connectivity requirements.

Real-Time Edge Processing

Low-latency data processing pipelines at the edge — filtering, aggregating, and acting on data locally before selective upload to cloud or central systems.

Edge AI & Inference

Running AI models locally on edge devices — computer vision, anomaly detection, and predictive models that operate without cloud connectivity.

IoT Edge Integration

Integrating edge computing with IoT sensor networks — local protocol translation, device management, and data normalisation before cloud ingestion.

Edge-Cloud Orchestration

Managing workloads across edge and cloud seamlessly — automatically routing compute to the optimal location based on latency, cost, and data sovereignty requirements.

Edge Security

Securing edge nodes against physical and cyber threats — encrypted communications, secure boot, remote attestation, and tamper detection for distributed edge deployments.

How We Work

Our Edge Computing Delivery Process

From latency requirements analysis through full edge deployment — a proven approach to building edge infrastructure that performs in demanding real-world environments.

01

Requirements & Latency Analysis

Defining latency, bandwidth, compute, and connectivity requirements — and determining which workloads benefit from edge processing versus cloud.

02

Edge Architecture Design

Designing the edge topology — node placement, connectivity, compute specs, storage, and orchestration layer — balanced against cost and operational complexity.

03

Hardware Selection & Procurement

Selecting and procuring edge hardware certified for your environment — industrial grade, outdoor, or standard — with the right compute and connectivity modules.

04

Software & Platform Development

Building the edge software stack — data processing pipelines, AI inference runtimes, local storage, and management agents.

05

Site Deployment & Integration

On-site installation, network commissioning, and end-to-end integration testing — validating latency, throughput, and failover behaviour at each edge location.

06

Remote Management & Operations

Centralised fleet management for OTA updates, remote diagnostics, performance monitoring, and security patching across distributed edge deployments.

Why SharpLogic

Why organisations choose us for edge computing

Hardware-agnostic

We select the right edge hardware for your environment — NVIDIA Jetson, Intel NUC, ruggedised industrial computers, or custom embedded systems.

Edge-to-cloud expertise

Full-stack capability across edge, fog, and cloud — designing systems where each tier handles the right workloads for optimal performance and cost.

Security & resilience

Edge deployments designed to operate securely in physically exposed locations and continue functioning through network outages.

Proven in demanding environments

Edge computing deployed in smart cities, industrial plants, transport networks, and remote locations — where reliability is non-negotiable.

Industries We Serve

Edge computing across demanding sectors

Smart CitiesManufacturing & Industry 4.0TelecommunicationsTransport & LogisticsEnergy & UtilitiesHealthcareRetailDefence

Edge Computing Partner

Ready to process data at the edge?

Whether you need a single edge deployment or a distributed fleet of thousands — our team designs and delivers edge computing infrastructure that performs where it matters most.