A sustainability director stares at a spreadsheet showing they’ve hit their recycling targets — on paper. But they have no idea where their materials actually go after they leave the factory. Neither does their supplier. Neither does the recycler.
The circular economy — reusing materials, eliminating waste, keeping resources in use — is one of the biggest ideas in sustainability. But it breaks down because nobody can actually see the material flows in real time. Products vanish into a black hole after sale.
This device makes the invisible visible — giving everyone in the chain a live picture of where materials are, where they’re going, and where they’re being lost.
The device ingests data from sensors, logistics systems, supplier feeds, and recycling partners — building a continuous picture of what materials are flowing where, in what volumes, and in what condition.
Like a GPS tracker for every kilogram of material — not just the finished product.
When materials are diverted to landfill, lost in transit, or failing recovery, the AI flags the event immediately. It traces the leak back to its source: which process, which partner, which decision caused it.
Like a leak detector on a water pipe — finding the exact break, not just noticing the pressure drop.
The device surfaces specific recommendations: renegotiate with this supplier, adjust this recovery contract, reroute this material stream. Decision-makers see the circularity score improving in real time as actions are taken.
Like a financial dashboard that shows not just your balance, but exactly what’s draining it and what to fix.
AI
Circular Economy
Sustainability
