Real outcomes for global enterprises.

Challenge

Logistics partners (FedEx, DHL, USPS) needed a secure way to integrate custom applications with the client's Cisco Product Platform and Oracle ERP without communication bottlenecks.

Solution

We engineered a scalable integration architecture on MuleSoft Anypoint Platform, designing a library of reusable API flows that gave partners frictionless, real-time data access.

Impact

• → 2× platform performance enhancement
• → Instant real-time data access for fulfilment applications
• → 10% reduction in IT overhead

Challenge

Six lines ran on mixed Siemens and Allen-Bradley controls with no shared data layer. Downtime was reconstructed from paper logs a day late, so root causes were guesswork and OEE reporting was unreliable.

Solution

We retrofitted OPC UA and MQTT edge gateways to every PLC, standardised tag naming to an ISA-95 model, streamed telemetry into a historian and Azure IoT Hub, and layered Ignition SCADA dashboards plus vibration-based predictive maintenance models on top.

Impact

• → Unplanned downtime cut by 32% within two quarters
• → OEE visible per line, per shift, in real time instead of next-day
• → Bearing and motor failures flagged an average of 11 days ahead
• → Maintenance moved from reactive call-outs to planned windows

Challenge

The OEM needed drowsiness and distraction detection that ran entirely in-cab on a TDA2x SoC — no cloud round trip, no added hardware cost, and accurate across night driving, glasses and varied cabin geometry.

Solution

We collected and labelled a cabin-specific dataset, trained a quantised CNN for eye-state, head-pose and gaze estimation, and optimised the inference graph for the DSP/EVE accelerators. An MLOps pipeline handles retraining as new fleet footage arrives.

Impact

• → 94% detection accuracy sustained across day and night field trials
• → 30 FPS real-time inference within the existing compute budget
• → Alerting integrated with the fleet telematics platform
• → Retraining pipeline lets the model improve with every deployment wave

Challenge

Forty microservices were released together once a month. Environments were hand-built, rollbacks meant restoring snapshots, and a failed change could take a full day to recover from.

Solution

We built a golden-path pipeline on GitLab CI and Argo CD, codified every environment in Terraform, moved workloads onto managed Kubernetes with autoscaling, and instrumented services with OpenTelemetry, Prometheus and SLO-based alerting.

Impact

• → Deployment frequency moved from monthly to multiple times per day
• → Lead time for changes reduced by 65%
• → Mean time to restore brought under 15 minutes
• → Change failure rate down 40% with automated quality gates

Challenge

A cumbersome legacy integration estate caused sync delays, high maintenance overhead and no visibility into automated processes across core HR systems.

Solution

We implemented MuleSoft Anypoint Platform hosted natively in CloudHub, designing event-driven, API-led integration patterns that streamlined data flow between HR, payroll and identity systems.

Impact

• → Event-driven real-time synchronisation architecture
• → Highly reusable, plug-and-play API patterns
• → Successful decommissioning of the legacy Jitterbit platform

Challenge

Growth was bottlenecked by rigid point-to-point integrations and outdated middleware that broke under load, causing downtime and disrupting user experience.

Solution

We deployed clean REST APIs, standardised data models and strategic decoupling points — bridging legacy systems and unlocking true business agility.

Impact

• → Substantial ongoing cost reductions
• → Unified multi-system network with a single source of truth
• → Future-proof SOA platform ready for rapid evolution