RunPilot: The Cost Case for Smart Factory Value
RunPilot is CES’s proof that smart factory value doesn’t require a multimillion-dollar program. Lumi, CES’s Agentic SDLC platform, built it as a working system that connects to plant equipment, tracks performance in real time, and answers operator questions in plain English, running on a €200 edge device with zero licensing fees.
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The Challenge
the client
Manufacturing / Industrial IoT (Smart Factory, SCADA)
Technology Stack
- €200 Raspberry Pi 5 or industrial PC
- 8 industrial protocol drivers
- cloud integrations including Kafka
- Azure Event Hubs
- AWS Kinesis
- InfluxDB
- TimescaleDB
Solution Area
- Agentic SDLC — Smart Factory Accelerator
the impact
First Insight in About 2 Hours, Not Months
€0 Licensing, ~€1,000 Total 3-Year Hardware Cost for an SMB
Hardware Payback Inside the First Week
8 Industrial Protocols Connected From a Browser
The case was cost-led. The result?
Value manufacturers deploy in hours, not months.
The Need
The smart factory promise has circulated for a decade, but most initiatives never scale past a pilot. Only 30% of manufacturers capture real value from Industry 4.0, and the gap hits SMBs hardest: just 44% have any MES or monitoring solution in place, against 76% of larger manufacturers. WEF and McKinsey put the value left on the table at $3.7 trillion globally.
Challenges
- Cost – Traditional SCADA/MES runs $500,000 to $1.5 million, and 60–70% of that is typically hidden until it’s too late to change course, with per-site connectivity alone adding $50,000–$150,000 on top.
- Complexity – Most plants run equipment from 10+ PLC brands that were never designed to talk to each other, and integrating a single facility can take 6 to 18 months of specialized integrator time billed at $75–$150/hour.
- Knowledge Gap – The expertise that keeps a plant running lives in veterans’ heads, not in any system. Consultants charge $500,000 to $2 million to extract it, and the resulting document starts going stale the day it’s delivered.
CES built RunPilot to prove that the same knowledge architecture behind Lumi’s build process can be packaged as an accelerator any manufacturer can deploy and afford.
1.Knowledge Cloning Instead of a Consulting Engagement
- Lumi accumulates manufacturing domain knowledge continuously (protocol specs, operational patterns, alarm strategies, equipment behavior, market benchmarks) rather than extracting it once through a costly discovery phase.
- That knowledge was already sitting in Lumi’s memory before RunPilot’s build even started, which is why there was no separate months-long discovery engagement to run.
2. Self-Service From the First Connection
- RunPilot speaks all eight major industrial protocols out of the box, configured entirely through a browser, no code, no integrator, no YAML files.
- Process engineers describe monitoring logic in plain English (“alert me when filler temperature exceeds 85°C for more than five minutes”) and get a validated workflow to review and deploy themselves.
3. OEE Numbers Manufacturers Can Trust
- Manual, clipboard-tracked OEE typically overstates performance by 8 to 18 percentage points; RunPilot pulls Availability, Performance, and Quality straight from the equipment and flags where losses are occurring.
- Shift-handover reports draft themselves from alarms, production counts, and KPI data, turning a 20-minute writing task into a quick review and sign-off.
4. Built for Augmentation, Not Headcount Reduction
- RunPilot’s AI reads sensor data continuously, flags anomalies, and drafts reports; every decision on what to do about it stays with the operator, who reviews and confirms before anything reaches live equipment.
- This follows the principle the European Commission calls Industry 5.0: technology that amplifies the people closest to the process instead of replacing them.
- Radical Cost Compression: – RunPilot’s typical 3-year total cost for an SMB runs around €1,000 in hardware, against $500,000–$1.5 million or more for a comparable traditional SCADA/MES deployment.
- Time to Value in Hours: – First insight lands in about 2 hours, against 6–18 months for a traditional rollout and 3–6 months even for an off-the-shelf platform.
- The OEE Business Case:– A 10-percentage-point OEE improvement on a single production line is worth $300,000 to $2 million or more in annual recoverable value industry-wide; RunPilot’s own hardware cost typically pays back within the first week.
- Knowledge Preserved Before It Retires: – With 2.1 million skilled manufacturing positions projected to go unfilled by 2030, RunPilot ships with 6 operational skill playbooks and equipment manuals that capture a veteran’s judgment in a system any operator can query.
- Workforce Confidence, Not Displacement Fear: – 72% of manufacturers already expect AI to augment workers rather than replace them (McKinsey). RunPilot’s design bets on that holding true: it hands operators better information, not a smaller headcount.
