ApexCore Technology — Case Studies
Problems Solved. Results Delivered.
Every engagement starts with a real business problem and ends with measurable outcomes. Here is the evidence — the numbers don't lie.
Every engagement starts with a real business problem and ends with measurable outcomes. Here is the evidence — the numbers don't lie.
Meridian Financial's rule-based fraud system, built in 2014, saw false negatives skyrocket as transaction volume tripled — exposing the bank to regulatory risk and eroding customer trust while the engineering team lacked the ML expertise to rebuild it internally.
Use the filters above to browse by industry or scroll through all engagements.
Ensemble model combining gradient boosting and graph neural networks on AWS SageMaker, learning continuously from new fraud patterns without manual rule updates.
Phased migration to Azure using strangler-fig pattern with centralised data lake on Azure Synapse, automated PII masking, audit trails, and live dashboards across all 14 sites.
Two-tower neural retrieval model with contextual bandits for real-time personalisation, deployed on Redis-backed feature store with CDN-level response times at peak load.
Reinforcement learning model trained on 4 years of historical delivery data, deployed with real-time traffic integration and dynamic rerouting for 12,000 daily delivery agents.
IoT sensor data pipeline ingesting 2M readings per minute, fed into LSTM-based failure prediction models with 72-hour advance warning and automated work order generation.
Strangler-fig decomposition of monolith into 24 microservices, deployed on EKS with horizontal pod autoscaling and a multi-region active-active configuration achieving 99.995% uptime.
NLP-powered document intelligence platform classifying 500K transactions daily, with automated SAR generation reducing compliance analyst workload by 80% while achieving 100% audit coverage.
Hierarchical time-series forecasting using N-BEATS architecture with external regressors, integrated directly into SAP purchase order workflow for autonomous replenishment decisions.
DICOM-native CV model trained on 2.4M annotated scans, deployed as a clinical decision support tool embedded in PACS workflow, reducing radiologist review time by 35% per scan.
Full CI/CD pipeline rebuild on GitHub Actions with ArgoCD GitOps, integrated security scanning, automated canary analysis, and SLO-based deployment gates reducing MTTR from 4 hours to 11 minutes.
Edge-deployed anomaly detection on NVIDIA Jetson hardware, achieving 2,400 inspections per minute with defect classification across 18 defect categories at sub-0.3% false positive rate.
Kafka-based event streaming architecture ingesting EDI, API, and IoT sources, normalised through a custom data model powering live dashboards for 3,000 logistics operations staff globally.
Not our words — theirs.
ApexCore transformed our data infrastructure in 6 months — what we estimated would take 2 years. The depth of expertise and discipline around delivery is genuinely unmatched.
Their cloud migration was flawless. Zero downtime, 40% cost reduction, and our entire engineering team learned immensely working alongside ApexCore's architects every step of the way.
The AI recommendation engine ApexCore built increased our conversion by 43%. The ROI was evident within the very first quarter of launch. The team brought ideas we hadn't even considered.
Deep domain expertise where technology transformation matters most.
Fraud, AML, trading infra, digital banking
HIPAA platforms, clinical AI, diagnostics
Personalisation, supply chain, omnichannel
Route optimisation, visibility, warehousing
Predictive maintenance, quality AI, IoT
Platform engineering, DevOps, multi-tenant
Digital services, data sovereignty, compliance
LMS, personalised learning, analytics
The same four-step approach applied consistently across every engagement — regardless of size or industry.
Deep-dive into your tech stack, processes, and goals. We identify gaps, quantify risks, and surface the highest-value opportunities before writing a single line of code.
Co-create a phased plan with clear milestones, agreed budgets, risk mitigation strategies, and measurable success criteria before any work begins.
Agile delivery with weekly sprints, continuous integration, live progress dashboards, and iterative feedback loops to ensure alignment throughout.
Post-launch monitoring, performance tuning, knowledge transfer, and continuous improvement programmes to maximise ROI long after go-live.
Every engagement on this page started with a 60-minute discovery call. Book yours and let's find out what's possible.