The glass plant runs itself. You decide how far.
The autonomous operations layer for glass manufacturing — batch and furnace melting control, float-bath and IS-machine forming, lehr annealing and stress control, AI seed, stone, cord and stress inspection at line speed, robotic handling of hot and fragile glass, and an as-formed digital twin that tests quality, stress and takt before the run.
Autonomous batching and furnace melting, held on chemistry every second, at the lowest energy and cullet.
Autonomous float-bath and IS-machine forming, dialed to exact dimension at rate.
Autonomous lehr annealing that relieves stress before it becomes breakage.
Plant-edge perception that sees every seed, stone, cord and stress before it escapes the plant.
Autonomous handling of hot, fragile glass: panes, ware and stacks, with defects diverted.
The as-formed glass digital twin: hit target quality, stress and takt in simulation before the run.
CEO & Co-founder
Leads Glasent's product direction, design-partner programme, and commercial model, starting with the glass plants where seeds, stones and breakage cost the most.
LinkedIn →CTO & Co-founder
Leads engineering on the plant-edge runtime, the policy engine, the audit architecture and the bounded write-back that keeps every agent action safe.
LinkedIn →If you're building the layer Physical AI can't scale without, we want to hear about it.