WCT Solutions
Services · Artificial Intelligence

AI
Solutions.
Built on Infrastructure.

Intelligent video analytics, AI-driven network management, smart building automation, and private LLM deployments — delivered by the team that builds the infrastructure they run on.

On-premise first · Edge AI · Private cloud · No vendor lock-in

4 Disciplines

AI solution areas

On-Premise

Deployment default

Edge to Cloud

Architecture options

Sector-Agnostic

Industries served

AI Solutions

Four Areas.
Real Results.

We focus on AI deployments that produce measurable outcomes — reduced incidents, lower costs, faster response times, or new revenue insight. If the use case doesn't stack up, we say so.

AI-Powered CCTV

Intelligent Video Analytics

Transform your existing CCTV infrastructure into an intelligent detection and analytics platform. AI video analytics runs on-premise at the edge — no cloud dependency, no latency.

Discuss This Solution

Capabilities

People counting & occupancy analytics
Perimeter intrusion detection
Loitering & abandoned object alerts
Licence plate recognition (ANPR)
Facial recognition & watchlist matching
Slip, trip & fall detection
Queue management & wait-time analytics
Heatmaps & dwell-time mapping
Our Approach

Discovery to
Live Deployment.

AI projects fail at the scoping stage or the integration stage. We have a structured process for both — starting with a use-case workshop and ending with a monitored, production-grade system.

01

Discovery & Use-Case Workshop

We run a structured workshop to identify where AI adds genuine value in your environment — not a generic demo, but a targeted review of your current systems, workflows, and data assets.

02

Solution Design

Architecture design covering AI model selection, edge vs cloud deployment, integration points with existing infrastructure, and data privacy requirements. Full technical specification produced.

03

Proof of Concept

Where appropriate, a bounded PoC is deployed in a non-production environment to validate the solution against real data before full deployment commitment.

04

Infrastructure Preparation

GPU compute provisioning, edge AI hardware installation, network segmentation, and security hardening. AI workloads need the right infrastructure — we prepare it.

05

Deployment & Integration

AI models deployed, integrated with existing systems — CCTV platforms, network management tools, building management systems, or business applications — and tested end-to-end.

06

Monitoring, Tuning & Support

Post-deployment model monitoring, performance tuning, and ongoing support. AI systems drift over time — we maintain them, retrain where needed, and keep them performing.

By Sector

Every Sector.
Targeted Use Cases.

AI delivers different value in different environments. We work across sectors and bring use-case knowledge that means we scope projects that actually solve the problem at hand.

Retail

People counting and dwell-time analytics to optimise store layout and staffing. Queue management with real-time alerts. Loss prevention via AI behavioural detection on CCTV. Customer journey heatmaps.

Discuss this sector

AI use cases in this sector

People counting & conversion analytics
Queue length alerts & management
Loss prevention behavioural analytics
Customer journey & dwell heatmaps
Our Deployment Philosophy

On-Premise First.
Your Data Stays Yours.

We default to on-premise and private cloud AI deployment. Your CCTV footage, network telemetry, and business data never leave your infrastructure without explicit architectural justification.

Where cloud AI is appropriate — for specific model types or data volumes — we architect hybrid solutions that keep sensitive data local and use cloud compute only for non-sensitive workloads.

Discuss Your Requirements

Deployment options we support

On-Premise Edge AI

Local GPU / AI appliance

Recommended

Private Cloud (Hosted VM)

Your cloud tenant, your data

Common

Air-Gapped Deployment

No internet connectivity required

High-Security

Hybrid Edge + Cloud

Edge inference, cloud training

Scalable

Managed AI Service

WCT-hosted private instance

Available
Why WCT

AI Built on
Solid Foundations.

AI systems are only as reliable as the infrastructure they run on. We design, install, and support both — which means no gap between the AI layer and the network, storage, and compute beneath it.

Talk to Our Team

Infrastructure-First Approach

AI systems need the right foundations — GPU compute, network segmentation, edge hardware, and secure data pipelines. We build the infrastructure and the AI layer together.

On-Premise First

We default to on-premise and private cloud deployment for AI workloads — keeping your data under your control, meeting data residency requirements, and eliminating recurring cloud AI costs.

Integration Depth

AI analytics that connect to your CCTV, access control, network management, and building systems — not isolated tools sitting alongside your infrastructure. We integrate deeply.

Ongoing Performance Monitoring

AI models degrade without maintenance. We monitor model performance, alert on drift, and retrain where required — treating AI as a managed service, not a one-time deployment.

Start Your AI Project

Intelligence Built
into Your Infrastructure.

Tell us your use case, your existing systems, and your data privacy requirements. We'll scope an AI solution that fits your infrastructure — and your budget.