How Lumi Built a Smart Factory Platform Overnight
On the night of July 7–8, 2026, Lumi — CES’s Agentic SDLC platform — autonomously built RunPilot, a full edge-compute SCADA platform for smart factories, in a single overnight session. The build was not a prototype. It shipped with PLC connectivity, a visual workflow builder, on-device AI, and a security architecture stress-tested by an independent adversarial audit.
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The Challenge
High-Cost SCADA/MES Implementations
Tribal Knowledge Locked in Veterans' Heads
Vendor Dependency for Every Change
the client
Manufacturing / Industrial IoT (Smart Factory, SCADA)
Technology Stack
- Python
- React
- NATS
- Protobuf
- DuckDB
- SQLite
- LanceDB
- Docker
- 8 industrial protocols (OPC-UA, Modbus TCP/RTU, Siemens S7, EtherNet/IP, MELSEC, Omron FINS, MQTT)
Solution Area
- Agentic SDLC — Autonomous Platform Engineering
the impact
110+ Source Files, 40+ Passing Tests, Built in One Overnight Session
8
PLC Protocol Drivers Out of the Box
82
Security Findings Surfaced by an Independent Audit
Runs on €200 Commodity Hardware, Zero Licensing Fees
The build was knowledge-led. The result?
A production-grade SCADA platform, built overnight.
The Need
Small and mid-size manufacturers are locked out of smart factory capability by cost and complexity. Traditional SCADA and MES implementations cost SMB manufacturers $500,000 to $1.5 million for a combined on-premise deployment, plus a $300,000–$500,000 domain consultant engagement just to extract how the plant operates from the people who run it. CES set out to prove that Lumi could collapse that timeline and cost by applying accumulated manufacturing domain knowledge at machine speed.
Challenges
- Cost Complexity – Incumbent platforms like Ignition, Litmus Edge, and Siemens WinCC charge per I/O tag, per device, or through opaque contracts, with integrator engagement adding $10,000–$50,000 per deployment on top.
- Knowledge Silos – The people who understand how a factory actually runs are rarely the ones configuring its SCADA software: the maintenance engineer who knows a compressor runs hot on humid days, the process engineer who recalls why a fill-volume spec was tightened, or the shift supervisor who can spot bearing wear from sound alone.
- Vendor Dependency – Every new PLC model, sensor type, or analytics requirement traditionally requires a professional services ticket, leaving plant teams unable to iterate on their own.
CES used Lumi to build RunPilot, an edge-compute SCADA platform, in a single overnight session, demonstrating that the Agentic SDLC can compress a 6–18 month, $918K–$1.9M engagement into one autonomous build.
1. Knowledge Cloning, Not Knowledge Extraction
- Lumi’s four-tier memory pipeline made months of prior CES manufacturing engagement operationally available: protocol specifications, ISA-18.2 alarm patterns, OEE calculation logic, and OT security principles.
- This replaced the traditional discovery phase, where consultants spend 2–4 months and $300K–$500K interviewing subject matter experts to extract the same knowledge.
2. Multi-Agent Task Decomposition & Parallel Execution
- Lumi’s team lead agent broke the build into 10 self-contained stories with clear dependencies, from the PLC driver layer to cloud sync.
- Foundation and Security ran first as prerequisites, establishing the shared wire format and security primitives the rest of the build depended on.
- Seven specialist agents (Backend Architect, SCADA/PLC Engineer, Streaming Data Architect, AI Engineer, Security Auditor, Frontend Developer, Edge Compute Engineer) then executed the remaining stories across two parallel waves, governed by Lumi’s Conductor.
3. Autonomous Execution with Built-In Quality Gates
- The Conductor ran budget-bounded execution, tests-until-green verification loops, and checkpoint-based durability to SQLite, so the session could resume from any interruption instead of restarting.
4. Independent Adversarial Security Audit
- A security auditor agent, operating independently from the agents that built the code, reviewed all 65 source files and surfaced 82 findings across 7 severity-ranked phases, including 5 CRITICAL vulnerabilities such as an RCE via eval() and an auth bypass via path normalization.
- The audit also confirmed correct security practices already in place, including parameterized SQLite queries and proper Docker network isolation.
5. Edge-First, Self-Contained Platform Design
- RunPilot runs as a single process on commodity hardware: a Raspberry Pi 4 or 5, an NVIDIA Jetson Nano, an industrial mini-PC, or any modest Linux system.
- It ships with 8 production-grade PLC protocol drivers, a visual drag-and-drop workflow builder, and an on-device AI assistant with RAG that works fully offline and syncs when connected.
- Full Platform Delivered Overnight :– 110+ Python source files, 40+ passing tests, 8 PLC protocol drivers, 15+ workflow transform types, 11 output connectors, 6 KPI insight applications, and 6 knowledge base manuals, all from a single build session.
- Security Findings Surfaced Immediately Post-Build: – An independent adversarial audit reviewed the full codebase right after construction and produced 82 actionable, phased findings across 65 files.
- Radical Cost Compression: – A traditional build of equivalent scope requires 7 specialized engineering roles plus a domain consultant, totaling $918K–$1.9M over 6–18 months. RunPilot was built in one overnight session on knowledge Lumi already held.
- Hardware and Licensing Disruption: – RunPilot runs on €200 commodity hardware under an MIT license with zero per-device fees, against $2K–$10K dedicated industrial gateways and licensing that runs as high as $50K–$150K per site on comparable incumbent platforms.
- Proof of a Reproducible Pattern: – The build demonstrates that Lumi’s knowledge cloning architecture is domain-general: any field where CES accumulates operational expertise can be approached with the same overnight, multi-agent methodology.
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