Industries
A defective component surfaced. You need to trace it to the exact batch, the exact supplier, the exact production run. You can't. Because your SCADA data and your ERP have never spoken to each other. Your production floor generates rich operational telemetry from sensors, PLCs, and SCADA systems — and none of it reaches the IT systems where purchasing, quality, and logistics make decisions. So instead of a surgical batch recall, you're doing a full-line recall. Do the math on what that costs.
Production commits delivery dates without seeing real-time SCADA telemetry. Purchasing orders raw materials without checking WMS inventory levels. Quality traces a defect to tier-1 — and hits a wall because tier-2 and tier-3 provenance data doesn't exist in the same system.
Predictive maintenance data is fragmented across equipment vendor portals — each with its own format, its own login, its own data silo.
Your OT and IT networks are two separate worlds. You have systems of record on both sides of the factory firewall, but no system of action that bridges them.
Deloitte's Smart Factory research identifies lack of IT/OT data integration as the number one barrier to realizing the 10–12% efficiency gains promised by Industry 4.0 initiatives.
Without component-level traceability, every quality issue becomes a full-line recall instead of a targeted batch recall. OEE plummets because maintenance is reactive, not predictive. Inventory blind spots cause simultaneous stockouts and overstock across facilities.
Every day you operate with disconnected OT and IT data, you're leaving those efficiency gains on the factory floor.
Bridge OT and IT networks into a single data layer. AI agents trace any component — from raw material supplier through production, assembly, and delivery — across the entire value chain.
Predictive maintenance, quality, and supply chain planning operate from the same source of truth.
30 minutes. We'll map what's broken, show you what to build first, and connect Agent Lake to your stack.
Talk About Manufacturing & Supply Chain30 minutes. We'll map your current data landscape, identify what to build first, and show you how Agent Lake connects to your stack. No pitch deck. No commitment.