Every reel, on grade.
The autonomous operations layer for pulp and paper manufacturing — autonomous stock preparation and wet-end chemistry control, forming, pressing and drying optimisation with dryer-steam scheduling, coating and reeling control, AI web-defect inspection from high-speed line-scan cameras, web-break prediction, grade-change sequencing, and an as-run paper-machine digital twin that tests every recipe change against off-spec tonnes, break risk and steam before it reaches the machine.
CEO & Co-founder
Leads Pulpum's product direction, mill partnerships, and commercial model, starting with the grade changes and web breaks that cost a paper machine the most.
LinkedIn →CTO & Co-founder
Leads engineering on the mill orchestrator, policy engine, and audit architecture Pulpum runs on, and the bounded write-back that keeps every agent action safe and reversible.
LinkedIn →If you're building the layer Physical AI can't scale without, we want to hear about it.