AI + Manufacturing
Factory floors that think, adapt, and improve continuously
From spindle vibration to shipment timing, AI that turns sensor data and production logs into fewer stops, fewer defects, and higher throughput.
Outcomes
Less unplanned downtime, fewer scrap parts, higher OEE
We target the three metrics that separate world-class plants from the rest: availability, performance rate, and quality yield.
Predictive maintenance & downtime prevention
Detect bearing wear, motor degradation, and hydraulic pressure drift weeks before failure. Schedule maintenance during planned changeovers instead of reacting to breakdowns that cascade through your production schedule and delivery commitments.
Quality control & defect detection
Catch surface defects, dimensional drift, and assembly errors in real time using vision systems and inline sensor data. Correlate defect patterns with upstream process variables to fix root causes, not just reject bad parts downstream.
Production scheduling & OEE optimization
Optimize job sequencing, changeover timing, and batch sizing against real constraints: tooling availability, material lead times, energy costs, and customer delivery windows. Improve OEE by attacking the specific losses your plant actually experiences.
Plant-ready
Connects to your existing shop-floor systems
AI that reads from your MES, talks to your ERP, and respects your quality management system instead of replacing it.
MES/ERP integration & IIoT sensor fusion
- Bidirectional integration with SAP, Oracle, Plex, and other ERP/MES platforms so work orders, BOMs, and production actuals stay synchronized without manual data bridges.
- IIoT sensor fusion that combines vibration, temperature, pressure, and power-draw signals from PLCs and edge gateways into unified asset health scores.
- OPC-UA and MQTT connectivity for brownfield environments where legacy equipment needs to participate in data collection without control-system modifications.
ISO compliance & digital twin readiness
- ISO 9001 and IATF 16949 alignment with automated CAPA tracking, nonconformance documentation, and control plan verification built into the AI workflow.
- Digital twin foundations that map physical assets to virtual models, enabling what-if simulation for process changes, capacity expansion, and new product introduction before you commit floor space and capital.
- Traceability from raw material lot to finished goods serial number, supporting recall readiness and customer-specific quality documentation requirements.
Automate the repetitive. Protect the human.
Why Ed — not just AI
Why the plant floor needs Ed
Manufacturing rewards memory: of the line, the defects, the maintenance. Ed remembers it all and acts on it continuously.
OEE that climbs
Ed correlates downtime, quality, and throughput across shifts and lines, finding the gains a single snapshot hides.
Predictive, not reactive
Ed remembers each machine's signature and flags failures before they stop the line.
Quality with a paper trail
Defect patterns and corrective actions are logged with provenance for ISO 9001 / IATF 16949.
The difference: generic AI forgets between conversations and resets to zero. Ed runs on Memory Statue v2.6 — Prismatic Recall: persistent, governed, auditable memory and long-horizon operation, with a human in the loop where it matters.
Unplanned downtime and escaped defects are the most expensive surprises in the plant.
Ready when you are
Make your plant smarter without replacing what works
We will design manufacturing AI that layers onto your existing MES, ERP, and quality systems.