Machine learning solutions optimizing complex business processes
A $7.1 bn revenue specialty chemicals manufacturer faced chronic plant downtime, $180 m trapped in inventory, and zero predictive maintenance.
We built and deployed a live compound AI system in 11 months:
- 62 interconnected agents across procurement, production scheduling, maintenance, and logistics
- Private frontier model trained on 12 years of sensor data + supplier contracts
- Agents that self-negotiate raw-material pricing, re-sequence production in real time, and pre-order spare parts before failures occur
Hard outcomes after month 12:
- Overall equipment effectiveness +31 %
- Inventory turns from 4.1 → 9.8 ($180 m cash released permanently)
- Raw-material costs down 13.4 % ($214 m annualized) via autonomous renegotiation
- First zero-unplanned-downtime quarter in company history
The COO now starts every leadership meeting with one slide: the live agent dashboard. Humans are officially on the loop, not in it.