UAE metals · PdM
73 % recall on critical bearing failures, four trips saved
14-day horizon. Operating-mode aware survival model. Historian-native on PI. CMMS write-back via SAP PM. Rolled to two lines in the first campaign.
Industrial AI · UAE & KSA plant floor
Plant-floor AI built for UAE and KSA manufacturers — integrated with your historian, your MES, your CMMS.
Predictive maintenance, computer-vision quality, yield and OEE. Historian-native modelling on OSIsoft PI / AVEVA / GE Proficy. Edge inference on Jetson with IEC 62443-aligned OT/IT zoning. MoIAT ICV-aligned delivery with the contribution published in the SoW. Scales line by line, not deck by deck.
Inference at the edge. Models on your historian. Scales line by line.
Bearing RUL · Line 3 / DE
Asset BR-3104
RUL
11 d
Conf
0.89
Mode
High-run
Recommendation: schedule replacement in maintenance window starting day 9. CMMS work-order pre-drafted in SAP PM.
PI trend · stand vibration RMS
7d window
Bayesian band tighteningAnomaly · sig 3.1σ
8+
UAE and GCC industrial deployments
73%
Critical-failure recall on rolling-mill bearings
+1.4%
Yield uplift on polymerisation reactor (90-day shadow)
1.2 → 7
Lines reached by median pilot using our scaling playbook
The painful problem
The CMMS fires on a fixed calendar. Half the assets are over-serviced; the other half fail unscheduled.
Three years of PI tags sit unmodelled in the historian. The last vision-inspection pilot from a control-system OEM cost USD 1.2 M for a single line and never scaled. An unplanned trip on the polymerisation reactor costs USD 2 M and breaks the OEE target. The MoIAT ICV scorecard is due.
Failure mode 1
One-line pilot trap
The median GCC manufacturing AI pilot reaches 1.2 lines at 18 months. Without a campaign-by-campaign rollout plan, the asset model is bespoke to one line and cannot reuse the historian integration.
Failure mode 2
OT cyber zoning
The control engineers will not let inference touch the PLC layer. The cyber team has a list of OT zones with no internet. Inference placement and zoning have to be designed before any model is built.
Failure mode 3
OEM lock-in
Siemens / GE / Honeywell / Yokogawa digital platforms come with a control-stack tax. A portable model layer that writes to the historian — not the OEM cloud — keeps the plant's options open.
Use-case grid
Nine production plays across PdM, CV quality, yield and OEE.
Each historian-native, each integrated with the CMMS the maintenance planner already uses, each with a documented sensitivity to operating-mode.
Predictive maintenance on rolling-mill bearings
Survival analysis with operating-mode features. UAE metals reference: 73 % recall on critical failures at 14-day horizon, four unplanned trips saved in the first campaign.
73 % recall · 4 trips saved
CV-based defect detection
NVIDIA Metropolis + DeepStream on Jetson. KSA composites reference: 98.6 % recall on target defect class, integrated upstream of Cognex on one line, rolled to four lines in 9 months.
98.6 % recall
Polymerisation reactor yield
Bayesian process control with AVEVA APC integration. UAE petrochem reference: 1.4 % yield uplift, validated on a 90-day shadow run.
+1.4 % yield
OEE & micro-stoppage analytics
Historian-native micro-stop detection. Packaging reference: 6 percentage point OEE uplift.
+6 pp OEE
Electrolyser energy intensity
Energy-intensity models for aluminium electrolysers and metals furnaces. Sensitivity to mode-switching documented.
Worker safety vision
PPE and unsafe-positioning detection on Jetson edge. Privacy-preserving inference, no face data stored.
Reactor sensor anomaly
Multivariate anomaly detection on PI tags. Catches failure modes the rules-based historian alerts miss.
Energy & sustainability
Utility consumption optimisation on heavy assets — kiln, furnace, compressor train — calibrated against the safety envelope.
Quality escape root-cause
Genealogy graph through MES on SAP MII / AVEVA MES / iFIX. Trace a customer-incoming-goods failure back to the originating shift, batch and parameter.
Campaign-by-campaign rollout
From one line to a plant network. Not a slide deck.
The marginal cost of the next use case is the model build, not the integration. Asset-frame templates and tag-hierarchy mapping are reusable across lines and plants.
Historian
OSIsoft PI · AVEVA · GE Proficy · Wonderware
Process
AVEVA APC · Aspen Plus
CMMS
SAP PM · IBM Maximo · GE iFIX · AVEVA MES · Rockwell FactoryTalk
Edge
NVIDIA Jetson AGX · DeepStream · Metropolis
Campaign 1
Single line, single asset class
Historian-native opportunity assessment, OPC UA / PI Web API integration, baseline model on one asset class. Edge inference on a Jetson appliance. ICV contribution published.
Campaign 2
Asset class to plant
Reuse the asset-frame template across the plant. Add CMMS write-back via SAP PM / Maximo. Operator training and shift-supervisor walk-throughs on every line.
Campaign 3
Plant to plant network
Cross-plant feature-store reuse. Plant-specific calibration where the asset is configured differently. Centralised drift monitoring per plant.
Campaign 4
New asset class, same plant network
CV quality, energy intensity, or yield model on top of the same historian integration. The marginal cost of the next use case is the model build, not the integration.
Ongoing
Plant-team handover
Reliability and operations leads own the system. Brocode operates under SLA where required, or stands by under quarterly review.
Standards & ICV
Designed for the cyber-OT reviewer and the procurement scorecard.
IEC 62443 for OT cyber posture. Purdue model for inference placement. MoIAT ICV for the procurement preference. ICV evidence is published per engagement; cyber-zoning evidence is the default deliverable.
IEC 62443 & Purdue
Inference runs in Purdue Level 3 or Level 3.5. Data flows up through the historian and a unidirectional gateway. Any control-action feedback routes through operator approval, not directly to the PLC. IEC 62443 alignment statement is part of the procurement pack.
MoIAT ICV & Operation 300bn
UAE-resident delivery team. Named Emirati hires on the engagement. On-shore data labelling centre. ICV contribution published per engagement in the SoW. Worked example mirrors the latest MoIAT scoring rules.
ADNOC / EGA / Tawazun
Procurement preference rules for ADNOC, EGA and Tawazun supplier relationships are part of the tender response. Where the operator falls under group standards, we work to those specifications rather than expecting them to bend to ours.
Cyber, ISO & partnerships
ISO 27001, SOC 2 Type II, OT cyber posture documented to IEC 62443. Partnerships: NVIDIA Inception, AVEVA partner, Snowflake Manufacturing, Microsoft for Manufacturing.
Reference engagements
Four anonymised plant-floor outcomes.
UAE petrochem · Yield
+1.4 % polymerisation reactor yield, 90-day shadow validated
Bayesian process control with AVEVA APC integration. Reactor-conversion uplift held under safety-envelope constraints. Sign-off by the process-engineering committee.
KSA composites · CV
98.6 % recall on target defect; 1 line to 4 in 9 months
NVIDIA Metropolis + DeepStream on Jetson. Integrated upstream of Cognex on the pilot line. Labelling pipeline produced an inspection-grade dataset in four weeks.
Packaging · OEE
+6 percentage point OEE through micro-stoppage analytics
Historian-native micro-stop detection with shift-supervisor walkthrough. Root-cause categories identified in week one of the campaign.
Differentiation
Brocode vs the four archetypes on your shortlist.
OEM digital platform, OT-integrator AI bundle, point CV product, or your in-house OT team. Where each fits — and where Brocode is the right shape.
| Capability | Brocode | Siemens MindSphere / GE Digital / Honeywell Forge | Cognex / Keyence point product | OT integrator (Yokogawa / Emerson / ABB) | In-house OT team |
|---|---|---|---|---|---|
| Historian-native modelling (OSIsoft PI / AVEVA / GE Proficy) | Partial | Partial | |||
| Sits alongside Siemens / GE / Honeywell / Yokogawa | Partial | ||||
| Plant-wide CV platform (not point sensor) | Partial | ||||
| Operating-mode aware PdM models | Partial | Partial | |||
| OT/IT zoning aligned to IEC 62443 | Partial | Partial | |||
| MoIAT ICV contribution published in SoW | |||||
| Production code, not advisory deliverable | |||||
| CMMS connectors (SAP PM / Maximo) | Partial | Partial | |||
| Campaign-by-campaign scaling plan |
Free download
Plant-Floor AI Scaling Playbook for UAE & KSA Manufacturers
A 26-page field guide covering the seven failure modes of one-line-pilot AI in heavy industry, the OPC UA / PI integration pattern that satisfies a cyber-OT zoning review, an MoIAT ICV scoring worked example, and a campaign-by-campaign rollout plan. Headline figure: the median GCC manufacturing AI pilot reaches 1.2 lines at 18 months; deployments using this playbook reach 7.
- Edge-to-cloud architecture
- OPC UA / PROFINET / Ethernet/IP integration patterns
- CV-QA scaling patterns
- Predictive maintenance economics
- OT security posture (IEC 62443)
- MoIAT ICV worked example
OT, scaling & ICV FAQ
The eight questions every plant director raises.
If yours is not here, raise it in the form below. We answer in writing before the first call.
A campaign-by-campaign rollout plan is part of the SoW from day one — not a hopeful afterthought. The median GCC manufacturing AI pilot reaches 1.2 lines at 18 months; our deployments reach 7. We do this by separating the asset model (per-asset-class survival / RUL) from the data integration layer (OPC UA + historian) so a new line is a configuration exercise, not a re-build. Asset-frame templates and tag-hierarchy mapping are reusable across lines and plants.
Start the conversation
Request a historian-native opportunity assessment on your plant data.
Tell us the sector, the plant count, the historian, and the priority use case. We come back within one business day with the integration pattern and the asset-class shortlist from comparable engagements.
Prefer WhatsApp? Message our industrial lead directly.
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Related capabilities and stories
Predictive Analytics
Survival / RUL models for plant-floor assets with mode-switching.
Read moreComputer Vision
NVIDIA Metropolis + DeepStream plant-wide CV platform on Jetson.
Read moreMLOps & AI Infrastructure
Edge model operations on the plant network with IEC 62443-aligned zoning.
Read moreData Engineering for AI
OPC UA, PI Web API and asset-frame templating across mixed historian estates.
Read moreCertifications & Compliance
ICV / MoIAT scoring evidence, IEC 62443 alignment, ISO 27001, SOC 2 Type II.
Read more