Real results from real engagements. Every project below began with a conversation and ended with measurable business impact.
Atlas Financial, a London-based investment firm managing over £2B in assets, was relying on legacy systems for risk assessment. Manual analysis was slow, error-prone, and unable to process the volume of real-time market data required for timely investment decisions.
We designed and built a custom AI-powered analytics platform that ingests real-time market data from multiple feeds, applies machine learning models for predictive risk scoring, and delivers actionable insights through an intuitive executive dashboard. The platform was built on AWS with a microservices architecture for scalability.
Python, TensorFlow, AWS SageMaker, Apache Kafka, React, PostgreSQL, Docker, Kubernetes
Following a serious security incident, NovaCare Health needed to overhaul their entire cyber security posture across 12 clinics and a central hospital. Compliance with GDPR and NHS Digital standards was non-negotiable, and staff confidence in their systems had eroded.
We deployed a comprehensive cyber defence framework including SOC-as-a-Service with 24/7 monitoring, endpoint detection and response (EDR), identity and access management, network segmentation, and security awareness training for 800+ staff members. We also implemented automated compliance reporting for ongoing GDPR adherence.
Microsoft Sentinel, CrowdStrike Falcon, Azure AD, Palo Alto Networks, KnowBe4, Splunk SIEM
Vertex Commerce, a Casablanca-based retail chain with 45 stores across North Africa, was running on outdated on-premises infrastructure that couldn't support their e-commerce ambitions or growing customer data volumes. System downtime during peak seasons was costing them significant revenue.
We migrated their entire infrastructure to a multi-cloud environment (AWS and Azure), built a modern headless e-commerce platform, and implemented AI-driven inventory management that predicts demand patterns and automates restocking. The migration was completed with zero downtime using a phased approach.
AWS, Azure, Next.js, Node.js, MongoDB, Redis, Terraform, CI/CD pipelines
Pinnacle Logistics operates a fleet of 200+ vehicles across the UK and Europe. Rising fuel costs, increasing delivery volumes, and manual route planning were eroding margins and impacting customer satisfaction with late deliveries.
We developed a machine learning-based route optimisation system that ingests real-time traffic data, weather conditions, delivery time windows, and vehicle capacity constraints to generate optimal routes dynamically. The system integrates with their existing fleet management platform and provides drivers with updated routes via a mobile application.
Python, scikit-learn, Google OR-Tools, PostgreSQL, React Native, AWS Lambda, API Gateway
Horizon Energy manages a growing portfolio of wind and solar assets across Morocco. Unexpected equipment failures were causing costly downtime, and their reactive maintenance approach meant technicians were often dispatched unnecessarily or too late to prevent cascading failures.
We implemented an IoT-enabled predictive maintenance platform that continuously monitors turbine and panel health through embedded sensors. Machine learning models analyse vibration patterns, temperature fluctuations, and power output to predict component failures before they occur, automatically scheduling maintenance during optimal windows.
Azure IoT Hub, Azure Machine Learning, Time Series Insights, Power BI, Python, Edge computing
The words of the people we have worked with mean more than anything we could say about ourselves.
Every case study above began with a single conversation. Tell us about your challenges and let's explore how we can deliver similar results for your organisation.