Manufacturing operations generate data from production lines, quality systems, inventory, suppliers, and logistics. Foundry turns that scattered data into operational visibility.
Manufacturing companies have data everywhere. Production systems track what's being built. ERP systems manage inventory and orders. Quality systems record inspections and defects. MES platforms monitor equipment and processes. Supplier portals track inbound materials.
All of this data exists, but it's not connected. Production can't easily see supplier delivery issues that will cause shortages. Quality teams can't correlate defects with specific material lots. Supply chain can't track parts from supplier through production to customer delivery.
Foundry solves this by integrating these systems into a unified data platform. Once the data is connected and modeled properly, you can build applications that answer questions impossible to address when data lives in silos.
Modern supply chains are complex—parts sourced globally, multiple tiers of suppliers, logistics across different carriers, inventory spread across warehouses and production facilities.
Foundry can integrate data from ERP systems, supplier portals, logistics providers, and customs systems to provide end-to-end visibility. Track a component from the supplier's factory through shipping, receiving, inventory, production, and final delivery.
When supplier shipments run late, you see the impact on production schedules before lines go down. When quality issues emerge, you can identify all affected inventory and notify customers. The data was always there—now it's connected.
Manufacturing generates enormous operational data—machine sensor readings, cycle times, yield rates, downtime events, changeover durations. Most of this data gets logged but rarely analyzed systematically.
We build pipelines that process this operational data and make it queryable. Workshop applications let production engineers analyze patterns—which equipment configurations produce the best yield, what factors predict quality issues, where bottlenecks occur.
This isn't about replacing your MES or SCADA systems. It's about integrating their data with other sources to enable analysis that wasn't possible before.
When quality issues occur, manufacturers need rapid traceability—which material lots were affected, what products they went into, where those products shipped. This requires correlating data from quality systems, production records, material tracking, and shipment logs.
Foundry ontologies can model these relationships explicitly. A defect links to the production run, which links to material lots, which link to suppliers and incoming shipments. Following these relationships answers traceability questions in minutes instead of days.
Complex manufactured products involve suppliers providing components, sub-assemblies, and services. Coordinating with suppliers requires sharing data—specifications, quality requirements, delivery schedules, design changes.
Foundry's multi-organization architecture lets you share specific data with suppliers while maintaining security boundaries. Suppliers see what they need—their parts, their orders, relevant quality data—without accessing your broader operations.
This is similar to what we do for defense and healthcare multi-organization implementations. The same technology that lets intelligence agencies share data securely works for manufacturer-supplier collaboration.
Manufacturing facilities have significant capital equipment that needs maintenance. Tracking maintenance history, spare parts inventory, failure patterns, and performance degradation helps optimize maintenance schedules and prevent unplanned downtime.
We integrate CMMS data, equipment sensors, maintenance logs, and spare parts systems. Applications show maintenance teams which equipment needs attention, parts availability, historical reliability, and predicted failure risks.
Manufacturing runs on established systems—SAP, Oracle, Epicor for ERP; Rockwell, Siemens for automation; various MES and quality platforms. Foundry implementations need to integrate with these without disrupting operations.
We've connected Foundry to industrial systems through various approaches—database replication for ERP data, OPC UA for equipment data, file exports from legacy systems, APIs where available. The integration strategy depends on what each system supports and operational constraints.
Manufacturing Foundry implementations typically start with one high-value use case—supply chain visibility, quality traceability, or production analytics. We connect the necessary data sources, build the ontology, and create applications that demonstrate value.
Once the first use case proves successful, expanding to additional applications uses the same data foundation. The pipelines and ontology are already built—you're adding new applications on top of existing infrastructure.
Tell us about your manufacturing operations and the visibility challenges you're facing.
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