A multinational distributor faced $12M in annual losses from overstocking slow-moving SKUs and stockouts on high-demand products across 140+ warehouses.

We deployed a multi-agent forecasting pipeline that ingests real-time POS data, supplier lead times, and seasonal signals — autonomously adjusting reorder points and routing purchase orders without manual intervention.

A mid-tier bank's compliance team manually reviewed 15,000+ transactions daily, resulting in 72-hour investigation backlogs and regulatory penalties for late SAR filings.

We built an agentic compliance engine that continuously monitors transaction streams, flags anomalies using multi-model consensus, and auto-generates preliminary SAR narratives for analyst review.

A regional hospital network averaged 45-minute patient intake cycles with 23% data entry errors, causing downstream billing disputes and clinician frustration.

We deployed document-understanding agents that extract, validate, and reconcile patient records from insurance cards, referrals, and intake forms — routing verified data directly into the EHR.

An automotive parts manufacturer experienced 340+ hours of unplanned downtime per year across 28 CNC production lines, costing $2.1M per incident in lost throughput.

We deployed lightweight edge agents on each machine that analyze vibration, thermal, and acoustic telemetry in real time — predicting failures 48–72 hours ahead and auto-scheduling maintenance windows.