Selected work. Real numbers. Specific systems.

A $200M automotive parts manufacturer was paying for an ERP nobody on the team wanted to touch. We migrated it piece by piece, two parts at a time, with zero downtime through the whole switch.

A specialty insurer was losing deals to faster competitors. Their underwriting cycle was averaging five days. We built an AI that reads the customer's submission, finds the relevant past policies, and drafts a recommendation the underwriter can accept, edit, or reject in under two minutes.

Real-time sensor data, problem detection, and a 72-hour warning before a machine fails. The warnings go straight into the team's existing Plex maintenance schedule. Maintenance went from reactive to planned without changing how anyone works.

An EV-charging company needed to give enterprise customers a carbon record for every session, every vehicle, every region, the way mobile carriers itemise calls. We built the MVP in ten weeks. Within a quarter it became their flagship enterprise feature.

A consumer goods manufacturer worked with 40+ main and second-tier suppliers. They had no live view of shipments, stock, or problems upstream. We built one shared data layer and an AI forecast on top of it.

A $1.2B specialty chemicals manufacturer had been quoted $14M and three years for an SAP migration. We did it in 14 months, piece by piece. Orders first, then pricing, invoicing, and revenue. Each part moved with no downtime.