› loading plant signals ............ [ ok ]
› mounting MES · historian · SPC ... [ ok ]
› syncing maintenance inbox ........ [ ok ]
› verifying policy guardrails ...... [ ok ]
› predicting the next loss ......... [ ready ]
system ready.
click to skip
// MANUFACTURING INTELLIGENCE
Predict every production risk.
Act before it costs you.
From the systems you already run to one live picture of the plant — then the action, before the shift feels the loss.
real product screens — sample data
Part of the InsAI platform family: ConstructINS · VoiceINS · RagINS · ChainINS · AgentINS · RiskINS
Enterprise AI by Epsilon since 2015 · Egypt · Saudi Arabia · UAE · Iraq · USA
// THE FILM
ManufactINS in under two minutes. The problem — and what changes.
Why plants lose output, quality and margin — in figures from Siemens, McKinsey, ASQ and Egypt’s own market — then the platform itself: machines, decisions, assembly, materials and reports.
What the film says, with its sources
- Every plant runs on a plan. Every shift, something breaks it.
- $1.4 trillion is lost every year to unplanned downtime by the world’s 500 largest companies — 11% of their revenue. (Siemens, The True Cost of Downtime 2024)
- $2.3 million an hour — one hour of downtime in a large automotive plant; more than $600 every second. A large plant still loses 27 hours a month to stoppages. (Siemens, 2024)
- 60% is where most plants’ OEE really sits. World-class is 85% — the gap is capacity you have already paid for. (OEE.com, Vorne)
- 15–20% of sales revenue is the true cost of poor quality at many manufacturers: scrap, rework, returns and recalls. (ASQ, Cost of Quality)
- Every 3.7 years, a supply disruption that lasts a month or longer; over a decade they cost almost 45% of a year’s profit. (McKinsey Global Institute, 2020)
- In Egypt, the dollar went from EGP 15.77 in 2022 to about 49.5 in March 2024 — every imported machine, spare part and raw material repriced, and interest rates up 6 points in a single day. (Ahram Online; CNBC / LSEG; Central Bank of Egypt)
- 68% of the data a business has is never put to work. The data exists — it’s just everywhere. So problems surface after the shift: after the scrap, the stop and the spend. (Seagate & IDC, Rethink Data, 2020)
- ManufactINS — the intelligent operating system for manufacturing. Production, machines, quality, materials and decisions: one AI platform, in English and Arabic.
- See every plant, line and order on one screen. Catch the failure before the line stops. Know what to do first — and what it’s worth.
- Tell it what changed — in English or Egyptian Arabic. Track every part into the final product, with fewer tool changes. Trace every lot from the mill to the customer.
- Catch the defect at the first piece, not the hundredth. Reports your board will actually read.
- One platform. Every plant. Every decision. It connects the MES, historian, SPC and maintenance systems you already run. Book your demo — manufactins.epsilonaiglobal.com.
Product screens in the film show demonstration data.
// THE MANUFACTINS TOUR
From RFQ to handover. ManufactINS modules at every stop.
Follow one order through the whole lifecycle — winning the work, contracts and planning, procurement, shop-floor execution, quality, delivery and handover — and see which ManufactINS modules carry it at each stop.
an example order, on sample data
phase · Win the work
RFQ & quote
“Is this order worth quoting — and can we build it at the price it takes to win?”
What ManufactINS does
Scores the RFQ against the margins your own delivered orders actually achieved — not the margins you quoted.
Modules
// THE LIFECYCLE, END TO END
// THE MANUFACTURING MIND
See it. Predict it. Act on it.
See the operation. Predict the disruption. Execute the better decision. ManufactINS is the intelligence layer that connects the complete manufacturing lifecycle — from demand to delivery.
Explore the platformName the operational constraint — the downtime, the drift, the late order.
Worked example · CNC-04 · sample data
CNC-04’s spindle bearing is wearing: vibration rose from 3.9 to 6.8 mm/s in seven days — past the 4.5 mm/s healthy limit.
// WHAT IT MOVES
The outcomes it’s built to move.
Typical targets for this class of system — not a client result; the demo shows illustrative sample data.
early access — onboarding design partners
// ONE INTELLIGENCE LAYER UNDER ALL OF IT
The platform decides, acts and proves — it doesn’t just report.
// WHERE THE MONEY LEAKS
Four places where margin leaks — each closed the same way.
leak_01
Unplanned downtime
Predict the stoppage before the shift feels it.
- SignalVibration and load on a tracked asset drift past the healthy band.
- ActionRaise the work order and take the planned stop inside the maintenance window.
- Verified resultLine-down hours avoided, and output that holds.
leak_02
Quality escapes and scrap
Catch the drift at the source, not at the end of the line.
- SignalSPC or inline vision shows a run trending out of spec.
- ActionAlert the line and correct the setpoint before the batch is lost.
- Verified resultScrap and rework cut, first-pass yield up.
leak_03
Reactive maintenance
Fix it in a planned window, not a breakdown.
- SignalAn asset’s remaining useful life falls below the parts-lead-time threshold.
- ActionSchedule the repair and stage the parts before it fails.
- Verified resultMaintenance cost down, unplanned failures avoided.
leak_04
OEE nobody can act on
Turn the OEE number into the one loss to fix next.
- SignalAvailability, performance or quality diverges from target on a line.
- ActionWork the single biggest loss first, with a named owner.
- Verified resultOEE that moves, shift after shift.
// SEE IT IN ACTION
A real product — not a concept.
A look inside the platform — sample data.
module_01
Plant overview
Production, OEE, on-time delivery, orders at risk and machine health on one screen — with the AI brief ranking the issues that need action and the governed actions to take.
module_02
OEE intelligence
Availability, performance and quality broken down to the exact loss and its root cause — so improvement effort goes where the biggest minutes are.
module_03
Predictive maintenance
The next likely failure and its remaining-life window, per asset — schedule the fix before the breakdown and the unplanned stop it causes.
module_04
Shop floor
Production across every line — the shift against its target, running orders good vs rejected, and the downtime behind the gap, largest avoidable loss first.
module_05
Quality & traceability
Defects, first-pass yield and full genealogy per batch — find the root cause and every affected unit in seconds, not days.
module_06
Inventory
Stock, work-in-progress and raw materials across the plant, with reorder signals — keep the lines fed without tying up cash.
// WHAT IT DOES
What changes on the floor.
// WHAT’S INTELLIGENT ABOUT IT
From a signal to an approved decision.
ManufactINS doesn’t just show numbers — it detects the risk, estimates the impact, proposes the action, and waits for the responsible person to approve anything that touches safety or the product.
illustrative manufacturing scenario
// FOR YOUR SECTOR
Configured for your sector. With the process modules it needs.
Pick your sector to see the process modules a plant of that kind gets — from weld maps to batch records — on top of the full RFQ-to-handover suite.
Metals & fabrication
Discrete & assembly
Process & consumer
sector
Metal fabrication & welding
The process modules this sector gets, added to the plant on top of the full RFQ-to-handover suite:
- Weld Map & NDTEvery joint by WPS and welder, with VT/NDT status and the repair cycle.
- Coating & PaintSurface prep, booth windows and DFT by zone — the defects driving rework.
// HOW IT WORKS
Connect, reconcile, predict, act, verify.
One observable chain from your source systems to an accountable action — with a person in the loop wherever it is contractual, financial or safety-critical.
On the demo plant · CNC-04 · sample data
CNC-04’s vibration and spindle-load readings arrive alongside its maintenance history.
// INTEGRATIONS
Connects to what you already run.
- CSV / Excel export (OEE, downtime, quality)
- MES — SAP DM, Siemens Opcenter, Tulip
- Historian / SCADA — OSIsoft PI, Ignition, OPC-UA
- CMMS — SAP PM, Maximo, Fiix
- Inline vision & IoT sensors
Examples of the systems ManufactINS connects to. The feeds for your plant are agreed on and connected during your pilot; the demo runs on sample data.
// DEPLOYMENT
Run it wherever your data and policies require.
Fully managed in the cloud — the fastest way to get started, with updates handled for you.
- Where the data lives
- In the cloud, in the region agreed for your deployment
- Who applies updates
- Epsilon, continuously
- Best when
- You want the fastest start, with nothing to host
// FOR YOUR ROLE
Who it’s for
They ask“What needs a decision today?”
OEE, the day’s biggest losses, and what needs a decision now.
// IN PRACTICE
- Predict a bearing failure a week out and fix it in a planned stop — not a line-down at 2 a.m.
- Catch a coating defect on Line 3 before it becomes a full shift of scrap.
- Rebalance the schedule the moment a material delivery slips, keeping the promised dates.
- Find the golden-batch settings and hold every run to them.
Signed client recognition
Organizations that put their recognition in writing.
Signed recognition letters from clients across Epsilon’s projects. They reflect the team’s track record — not every organization is a client of this product.
Rowad Modern Engineering
Construction
Signed letter
View on showcaseMogassam
Contact center
Signed letter
View on showcaseZylo3D
Manufacturing
Signed letter
View on showcaseNUT Botanicals
Retail & recommendations
Signed letter
View on showcaseAIT
Real-time data
Signed letter
View on showcase
More signed letters — and the projects behind them — are on the Epsilon showcase.
Why Epsilon
Built by a team that has shipped production AI since 2015.
InsAI platforms run on the applied-AI engine Epsilon AI Global has built and delivered for a decade — across five markets, for enterprise and government teams.
Since 2015
a decade of applied AI
100+
enterprise & government clients
10,000+
professionals trained
5 markets
USA · Egypt · Saudi Arabia · UAE · Iraq
These figures describe Epsilon’s company-wide experience — not this product’s own customer counts.
// Security & trust
Built to be trusted with your data
InsAI is delivered by Epsilon AI Global, which holds ISO 27001 (information security) and ISO 9001 (quality) management-system certifications, accredited through IAF / EGAC, alongside an ITIDA IT-activities license. The certified entity, scope and validity are stated on the certificates, which are available for verification; data residency and processing are configured per deployment and documented in a data-flow diagram provided for review.
Epsilon-managed access
How you get access to the platform
Access to the working platform is not self-serve. The Epsilon team arranges it after a guided walkthrough; accounts are individual and limited to an agreed evaluation period. Submitting the form does not create an account.
// QUESTIONS BUYERS ASK
Before you book a demo.
Access, data, integrations and pilots — answered plainly.
01Can we sign up and try it ourselves?
Not self-serve. You request a guided demo, the Epsilon team walks you through the platform on sample data, then arranges individual, time-limited access to explore it — ideally on one of your own plants’ production data. Submitting the form never creates an account.
02Where does our data live?
Where your policy requires: fully managed cloud, inside your own network on-premises, or hybrid — sensitive data on-site, compute in the cloud. Residency and processing are set per deployment and documented in a data-flow diagram for your review.
03Which of our systems does it connect to?
The systems you already run — MES (SAP DM, Siemens Opcenter, Tulip), historian / SCADA (OSIsoft PI, Ignition, OPC-UA), maintenance (SAP PM, Maximo, Fiix) and spreadsheet exports. The feeds for your plant are agreed on and connected during your pilot; the demo runs on sample data, and we never present a sample integration as a live connection.
04Is ManufactINS running in plants today?
ManufactINS is in early access: we are onboarding design-partner plants now. The screens you see are the real product on sample data. Epsilon’s wider delivery record — 100+ clients since 2015 — is across all its work, not this product alone.
05Will it run on our plant’s data from day one?
The screens you see are the real product, on sample data. Running them on your plant means connecting the feeds agreed on for your scope, and some capabilities need a history of your own orders before they say anything useful — your demo maps exactly what applies to you.
06Does the AI change things on the line by itself?
Only reversible steps, inside limits you set. Anything contractual, financial, safety-critical or touching the product waits for a named person to approve it — and every recommendation shows its evidence and owner.
07Does it work in Arabic?
Yes — the platform and this site run fully in Arabic and English, right-to-left included.
08What does a pilot look like?
A defined scope on one plant or line: we connect the agreed feeds, agree on the measures up front (for example, downtime, OEE or scrap), and measure them during the pilot — the result is yours to judge, not a number we promise in advance.
// OUR OFFICES
Talk to the team nearest you.
We pick your nearest office automatically and show its email, phone and WhatsApp — tap any pin on the map to choose another.
your nearest office
Global
International line
Your location is used only to pick the nearest office — it is not stored or sent anywhere; your network’s country is looked up without keeping its address.
See the whole operation. Predict what comes next. Act with confidence.
Book a tailored walkthrough on your own production data. Accounts are issued by the Epsilon team — there is no self-serve sign-up.
The InsAI ecosystem
Explore the rest of the platform
Every product runs on the same InsAI engine — move to another operation, or see everything at Epsilon AI Global.
Everything from Epsilon AI Global ↗