Line performance, quality and maintenance — predicted, not just reported.
Connect your MES, historian, quality (SPC and inline vision) and maintenance systems; receive ranked actions with the cause, the owner, the EGP at stake and human approval where it touches safety or the product.
Runs on the same Insai engine behind ConstructINS, RAG.INS and Voice.INS · Deployed cloud, on-prem or hybrid
OEE
78 %
▲ 2%
Downtime forecast
4 h
First-pass yield
94 %
▲ 1%
Scrap rate
2.1 %
OEE forecast
Planned ForecastPlant health
AI priority briefing
Line 3 bearing shows rising vibration — plan a stop within 6 days.
Typical targets for this class of system — not a client result; the demo shows illustrative sample data.
−15–25%
Unplanned downtime
+5–10 pts
OEE
−20–30%
Scrap & rework
−10–20%
Maintenance cost
One intelligence layer under all of it
Every Insai product runs on the same engine. It reads the systems you already own, agrees one trustworthy number per metric, ranks the actions worth taking with the money and time at stake, acts on the reversible ones inside the policy you set, and then checks the number actually moved. A dashboard tells you what happened; Insai tells you what to do next, does the safe part, and shows you it worked.
You already have SCADA screens, an MES and a maintenance backlog. What you don't have is one place that tells you, before the shift feels it, where the next loss is coming from and what to do about it. That is the gap Manufact.INS fills.
Every figure carries its source, its as-of time and how it was calculated — so a team can trust it and defend it.
Not a wall of red. The few actions that matter, ordered by the value or risk at stake, each with an owner and a due date.
Reversible steps run on their own within the limits you set; anything contractual, financial or safety-critical waits for a named person.
It verifies the metric moved. If it didn't, it re-routes and tries the next-best path — the loop closes.
Where the money leaks
The problem, the signal that catches it, the action to take, and the result you can measure.
Predict the stoppage before the shift feels it.
Catch the drift at the source, not at the end of the line.
Fix it in a planned window, not a breakdown.
Turn the OEE number into the one loss to fix next.
How it works
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.
Connect
MES, historian/SCADA, quality (SPC, vision) and the CMMS — through connectors, not a re-key.
Reconcile
One OEE and one loss figure per line, each with its source and how it was calculated.
Predict
The next stoppage, the drifting batch, the failing asset — each with confidence and cause.
Act
A work order or setpoint change to a named owner; safety/product changes wait for approval.
Verify
Check the loss actually fell; if not, re-route and try the next-best action.
Connects to what you already run
Demonstrated means it works in the demo on sample data; pilot connector means we build and connect the real feed during your pilot; roadmap is planned. We never present a seeded integration as a live connection.
What it does
Forecast the next loss on each line and its cause, with the availability/performance/quality split, before it happens.
Combine SPC and inline-vision signals to flag drift and defects the moment a run starts going wrong.
Remaining-useful-life estimates per asset, with the cheapest window to intervene and the work order pre-filled.
Sequence and re-sequence orders against capacity, changeovers and material availability when reality shifts.
Surface the settings and conditions that waste energy or yield, and the ‘golden batch’ that does not.
Trace a loss or defect back to the signal that caused it, cited — not guessed in a post-mortem.
Follow a unit through the process — materials, machines, operators, tests — for recall and audit.
Reversible actions run within the limits you set; anything that touches safety or the product waits for a person.
For your role
Plant manager
OEE, the day's biggest losses, and what needs a decision now.
Operations / production director
Line and shift performance across the site, ranked by loss.
Quality manager
SPC drift, defects and non-conformance, caught at the source.
Maintenance / reliability
Assets by remaining life and the planned window to fix them.
Process engineer
Root cause, yield and the settings that move it.
In practice
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 licence. The certified entity, scope and validity are on the certificates and available for verification; data residency and processing are configured per deployment and documented in a data-flow diagram provided for review.
ISO 27001
Information security
ISO 9001
Quality management
IAF / EGAC
Accreditation bodies
ITIDA
Egypt IT licence
Manufact.INS isn’t self-serve. There is no login on this page. You request access, our team issues you a demo email and password, and we walk you through it on your own use case — the same white-glove start as every Insai product.
Fill the form
Tell us your company and the problem you want to solve — name, work email and phone.
The team calls you
Epsilon customer success reaches out to understand your use case, usually within one business day.
You get an email & password
We issue you a demo email and password for a guided environment — access is credential-gated, not self-serve.
We walk you through it
A guided walkthrough on your own scenario, so you see it working on the problem you actually have.
Access to Manufact.INS is by guided demo. The outcomes shown are typical targets for this class of system, not measured client results; the interactive mockup shows illustrative sample data. Scope and timelines are confirmed per engagement.