Modern manufacturing processes generate tens of terabytes of data per project — spanning machine logs, quality reports, supply chain records, and design documentation. Engineers are often forced to sift through disconnected systems, making it slow and difficult to pinpoint the root cause of production issues. This leads to costly downtime, reduced throughput, and inconsistent product quality.

Corvic unifies complex, multimodal data — including documents, tables, graphs, and images — into a single, intelligent knowledge layer. Using Mixture of Spaces (MoS™) and Explainable Chain of Adaptive Actions (ECoAA™) technologies, engineers can instantly query, analyze, and connect facts across diverse sources.

Instead of manually investigating data silos, teams get real-time, context-rich insights that accelerate issue resolution and optimize production performance.

A global manufacturing company used Corvic to automate causal factor investigation for assembly line issues. By connecting insights across machine logs, inspection reports, and supplier data, the company reduced investigation times by more than 20×, enabling engineers to act faster and avoid costly delays.