See the line before it stops.
A live digital twin of your plant, with AI that acts before the line does.
The best plants already run this way.
Siemens in Nanjing, Haier in Qingdao, Foxconn and the 238 Lighthouse factories chosen by the World Economic Forum run on live twins and AI.
Lead time at the Siemens electronics plant in Nanjing
Sources: Siemens, Haier and NVIDIA/Foxconn releases; World Economic Forum Global Lighthouse Network 2025–2026. 1 McKinsey & Company research on predictive maintenance. 2 Published studies of AI visual inspection against manual inspection. Results depend on the starting point.
Four layers on the machines you already own.
Nothing is replaced. Digital Factory sits on top of the equipment, MES and ERP the plant already runs.
Connect every signal.
PLCs, SMT equipment, AOI and SPI, testers, energy meters and the MES stream into one place over open industrial standards. We start read-only, so production is never touched.
See the whole plant live.
Every line, station and unit, updated every second. One shared picture for operators, engineers and management, on screens and on mobile.
Predict what comes next.
Machine-health models forecast failures days ahead. Vision AI inspects every board. Root-cause models link each defect to the step that caused it.
Act on the best decision.
Actions ranked by their value in EGP, work orders raised for you, and a copilot that answers questions about the plant in plain language.
Samsung set 2030. Beni Suef can be ready first.
In March 2026 Samsung announced that all its factories, in Korea and overseas, will be AI-driven by 2030: a digital twin across the value chain, AI agents for quality, production and logistics, safety AI and robotics. Digital Factory puts these pillars to work on one Beni Suef line, starting this quarter.
- March 2026Samsung announces AI-driven factories worldwide
- This quarterPilot on one Beni Suef line (proposed)
- 2030Every Samsung factory AI-driven
Source: Samsung Electronics announcement of 1 March 2026, as reported by The Korea Times and Korea JoongAng Daily.
Machine-health models hear a mounter bearing wearing out days ahead. The repair goes into a planned 25-minute stop instead of a 4.5-hour breakdown.
Fix it before it breaks.
When a machine stops, dozens of alarms fire at once. The AI groups them into one incident, names the root cause and suggests the fix.
One cause, not fifty alarms.
Every recommendation carries its value in Egyptian pounds and its risk, so the morning meeting starts with the decision that matters most.
Decide in pounds, not percent.
Nine capabilities you can open now.
Each runs on a simulated electronics plant. In production, each connects to the real equipment.
- Command roomEvery line, station and unit live, with alarms, decisions and the agent crew on one screen.
- AI agent crewSix agents for maintenance, quality, logistics, energy, planning and safety. You set how much each may do alone.
- Alarm flood to one causeDozens of alarms become one incident with its root cause.
- Shift forecastThe chance of hitting today's plan, updated every second, with failure risk for every machine.
- Root-cause chainsFrom symptom to cause to cost in one picture, with the evidence behind it.
- Time machineRewind the plant and replay any minute of the shift.
- Scenario labTen real-world drills: breakdowns, heat waves, power dips, supplier delays, safety events.
- Simulate before you actExpected output, yield and power before any change, with a full audit trail.
- Leadership viewPlant health score, value saved, and decisions ranked by money at stake.
Twelve weeks to a measured result.
Break a machine. Watch the AI respond
Opens the command room with ten real-world drills. Prefer the business case? See the 12-week plan.