AI that runs on your
operational data —
not around it.
Manufacturing and logistics operations generate enormous volumes of data across ERP systems, sensors, suppliers, and warehouses. Kurve unifies it, governs it, and deploys agents that make it actionable.
Manufacturing data is everywhere.
Insight is nowhere.
What operations teams face
—ERP, MES, WMS, and sensor data siloed across systems
—Demand forecasting done in spreadsheets
—Maintenance decisions made reactively, not predictively
—Supply chain risk invisible until it becomes a disruption
What Kurve enables
+One unified data model across all operational systems
+AI-driven demand and inventory forecasting
+Predictive maintenance agents that flag before failure
+Real-time supply chain risk monitoring and alerting
Where Kurve runs in manufacturing.
Unified supplier, inventory, and logistics data — with AI agents monitoring risk, lead times, and disruptions in real time.
Sensor and maintenance log data unified into an equipment ontology — agents flag failure patterns before downtime occurs.
Historical sales, seasonal patterns, and external signals combined into a single forecasting model — updated continuously.
Kurve's VLM/OCR layer ingests inspection reports and visual data — flagging anomalies and tracking defect patterns across production runs.
Purchase orders, compliance certificates, delivery notes — automatically extracted, classified, and routed into your ERP.
Route, carrier, and delivery data unified — AI agents surface optimization opportunities and reduce last-mile cost.
The Kurve pillars that matter most
in manufacturing.
Unify ERP, MES, sensor, and supplier data into a single operational ontology. The foundation for every AI application above it.
Multi-agent workflows for maintenance alerts, demand signals, quality flags, and logistics decisions — running continuously, not in batch.
VLM/OCR pipeline processes the high-volume, multi-format documents that manufacturing operations generate daily.
On-prem or hybrid deployment for factory environments with strict data residency or air-gap requirements.