Digitalisation
Replace paper logbooks and scattered spreadsheets with live production records from phones, Excel or machine and ERP data.
DMIS · Digital Manufacturing Intelligence System
The smart manufacturing platform, customised to your plant.
From paper logbooks to ranked, costed decisions. DMIS digitalises your production, optimises every line and protects the integrity of your data, quality and processes. One platform, configured to how you manufacture. No new sensors or hardware needed.
OEE71.4%+6.2
First pass94.1%+2.8
Scrap1.8%-11%
Downtime3.2 h+0.4
OEE trend, line M02 last 30 days
Off-spec risk next batches
Order 2291 · Line M02
Order 2292 · Line M01
Order 2293 · Line M03
Lower die temperature 215.4 → 209.9 °C
Batch risk falls from 97% to 39%
Batch risk falls from 97% to 39%
RM 4,820
One platform, three pillars
Digitalise. Optimise. Protect integrity.
Whatever you manufacture, DMIS is configured to your products, machines and KPIs.
Optimisation
Raise OEE, cut changeover time, scrap and downtime, and schedule smarter with AI recommendations ranked by value in RM.
Integrity
Validated, audited data, lot-level traceability and quality control you can prove to customers, auditors and regulators.
The problem
Most SMEs make decisions without data.
Losses show up at month-end, not in ringgit, and not while there's still time to act.
Changeovers
Every product change burns material and line time. The sequence is usually set by habit, not by data. Why sequence matters →
Scrap & rework
Defects are discovered after the product is made, when the material, energy and machine time are already spent.
Machine stops
Unplanned downtime keeps OEE stuck below 65%, and nobody can say which stops cost the most. Improving OEE →
PaperWhere most SME production data still lives
50–65%Typical OEE without analytics
RM 200K+Cost of a generic MES
12–18 moTo deploy a generic MES
How it works
From plant data to a costed decision.
Data in
Phone, Excel, API
Upload production records and logbooks, or connect machines, MES, WMS and ERP through one secure Data Hub API.
Engines
AI and 15 KPIs
Machine-learning risk models, SPC rules and a physics-informed simulator score every order, line and changeover.
Decisions
Ranked, in RM
The Decision Center tells each owner what to change, how urgent it is and what it's worth in ringgit.
Example recommendation: lower die temperature on line M02 from 215.4 to 209.9 °C
Off-spec risk for the next batch falls from 97% to 39%.
Off-spec risk for the next batch falls from 97% to 39%.
Early proof
Measured results before your first pilot day.
DMIS is validated on a physics-informed simulator with 7+ factory profiles, then recalibrated to each pilot plant's own machine specifications. It addresses six SIRI pillars, from Operations and Supply Chain to Intelligence and Talent Readiness.
Figures from the simulated pilot-profile factory (F07). Real-plant accuracy is measured in the pilot.
0.73AUC predicting off-spec on unseen batches
34%of off-spec caught in the top 20% riskiest batches
RM 75KRecoverable losses identified per month
97→39%Batch risk after one recommended change
Explore DMIS
Everything you need to evaluate DMIS.
Features & modules
Eight modules, seven roles and how DMIS answers five national smart-manufacturing challenges.
View featuresPricing
SME subscription or white-label licence, quoted for your plant. No CapEx, payback typically under three months.
Request a quoteSecurity & technology
Two-factor sign-in, 36 server-enforced permissions, audit logs and nightly backups.
How we protect data
Pilot programme
Put your real plant data through DMIS.
We're onboarding Malaysian manufacturers for three-month pilots. Bring your batch records and we'll show you where the ringgit is going.
+10%OEE target
−10%Changeover waste
−15%Quality deviation