Real cases

Industrial AI in automotive fluid transfer and air coupling plants

Tier-1 plants making fuel and coolant lines, high-performance hoses, quick-connect air couplings for pneumatic brakes and thermal lines for electric vehicles share a feature that sets them apart from almost any other factory: their product seals pressure. A component that does not seal does not produce a cosmetic reject; it produces a field leak.

See the 12 cases, one by one ↓

That is where the sub-sector's capital pain comes from, and the thread running through these twelve cases: zero field leaks. Behind that objective sits a list of root causes that repeat across every flow control plant — an unseated o-ring the eye cannot distinguish at line rate, a mold change started without purging, a crimp at the edge of the torque window, a batch released with the leak test signed in a hurry, a hastily typed packing list that breaks material genealogy. And behind the root causes, one constant: the data that would expose them stays on paper, on a panel with no network, or in a spreadsheet the ERP cannot see.

Each of the twelve cases that follow attacks one of those pieces with the IRIS architecture: Connect to capture what is lost today — shop-floor paperwork, machine panels with no interface, external email, the supervisor's voice, lab spreadsheets —, Edge to decide at line rate with local AI vision, and Agents to turn everything captured into auditable dossiers and coordinated decisions. Case twelve brings them together into four verification rings that cross-check each other. All figures are conservative ranges marked as estimates to validate: they get calibrated with each plant's own data.