Representative engagements. Names withheld under NDA.
Unified telemetry from 12 plants into a single observability platform with edge gateways and live dashboards.
Disparate PLCs and SCADA systems with no central visibility. Operations decisions made on stale data.
Edge gateways with MQTT + OPC-UA, time-series ingestion on a managed cloud, role-based dashboards.
Mean time to detect failures dropped by 60%. Maintenance scheduled from data, not intuition.
A unified data platform for solar and wind asset performance across European sites.
Reporting was manual, slow, and error-prone. ML projects had nowhere to land.
Lakehouse architecture, dbt-driven transformations, and curated marts for analytics and ML.
Monthly reporting cycle reduced from 8 days to 1. Two ML use cases launched within the year.
Live tracking and ETA prediction for a European logistics operator.
Telematics data was siloed by vendor. Customer ETAs lacked accuracy.
Event-driven backend on Kubernetes with vendor adapters and a clean GraphQL API.
ETA accuracy improved 35%. Customer satisfaction scores rose meaningfully.
Defect detection on a high-speed packaging line, deployed on edge GPUs.
Manual inspection missed defects under shift fatigue and slowed throughput.
Custom CV models trained on annotated line footage, packaged for on-prem edge inference.
Defect escape rate dropped 70% while throughput increased.