ERP modernisation, IoT data pipelines, AI quality control, and digital supply chain platforms - built with the operational continuity that manufacturers can't compromise on.
Four patterns we see in almost every engagement. The good news: all four are fixable.
A 15-year-old ERP that was customised beyond recognition - expensive to maintain, impossible to integrate, and creating data silos that prevent real operational visibility. Modernisation is possible without replacing everything at once using a strangler-fig migration approach.
Machines generating data that never gets collected. Production data in one system, quality data in another, maintenance data on a spreadsheet. IoT data pipelines and an operational data platform create the single source of truth that operational decisions require.
Waiting for equipment to fail before fixing it is the most expensive maintenance strategy available. Predictive maintenance AI trained on sensor data and historical failure patterns shifts maintenance from reactive to scheduled - reducing downtime and parts costs simultaneously.
Human visual inspection is inconsistent, slow, and can't run 24/7. Computer vision quality control systems that run on production line cameras detect defects faster and more accurately than manual inspection - and provide statistical quality data that manual processes can't.
AI-First solutions designed around the specific workflows, operational requirements, and production constraints of your sector.
Strangler-fig migrations from legacy ERP to modern cloud-native architecture - replacing systems incrementally while maintaining operational continuity. We've migrated 8M+ records with zero downtime and zero data loss.
Sensor data collection, edge computing, and real-time data pipelines that bring machine and production data into your analytics and AI systems. From PLC integration to cloud-native data lakes.
ML models trained on your historical sensor and maintenance data - predicting equipment failures before they happen and scheduling maintenance during planned downtime rather than emergency shutdowns.
Computer vision systems integrated with production line cameras - detecting defects, dimensional variances, and surface anomalies faster and more consistently than manual inspection.
Real-time Overall Equipment Effectiveness dashboards, production output tracking, downtime analysis, and capacity planning tools - giving operations managers the data they need to make decisions, not just observe.
Self-service ordering portals for B2B customers - custom catalogues, customer-specific pricing, purchase order management, and order tracking - reducing the manual order processing burden on your sales and CS teams.
A mid-market manufacturer was running a 20-year-old on-premise ERP that required a dedicated team to maintain, couldn't integrate with modern systems, and was a constant source of operational risk. We executed a full cloud-native migration using a strangler-fig approach - new microservices replacing old modules one by one, with the old system running in parallel throughout.
In manufacturing, unplanned downtime is measured in production loss per hour. Every system cutover we execute uses parallel running, staged rollout, and tested rollback procedures. Zero unplanned downtime across every manufacturing engagement.
Manufacturing requires engineers who understand both OT (PLCs, SCADA, sensor networks) and IT (APIs, cloud, data engineering). Our teams include engineers with real manufacturing floor experience - not just enterprise IT background.
We don't migrate data and hope for the best. Every migration includes automated reconciliation scripts that compare source and destination record counts before any cutover. Migration only proceeds when reconciliation passes 100%.
Our AI practice has deployed predictive maintenance models and computer vision quality control in live manufacturing environments - not just as proofs of concept. We know what works at production scale and what doesn't.
First conversation is with a senior solutions architect who knows your sector - not a generic sales team.
NDA available before any conversation - countersigned within 24 hours.