Industrial AI Solutions — SMHcoders
INDUSTRIAL AI // SOLUTIONS

Industrial AI solutions

Production-grade AI for real plant operations.

7Solutions in the stack
4Protocols spoken natively
5Industries deployed
1Stack, from signal to profit
// Solutions

The industrial AI stack

Soft Sensing

ML-based virtual sensors estimating quality, composition, emissions and efficiency in real time.

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Model Predictive Control

Multivariable controllers that predict, optimize and respect constraints — every cycle.

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ComGate Protocol Simulator

Connectivity gateway and test simulator for OPC UA, OPC DA and Modbus.

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Digital Twin

Real-time replicas for what-if simulation, predictive insight and operator training.

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Predictive Maintenance

Degradation detected from vibration, temperature and process data — before downtime.

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Anomaly and Fault Detection

Continuous monitoring with root-cause guidance for operators.

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Real-Time Optimization

Plant-wide optimization computing the most profitable targets for MPC and APC.

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Speaks your plant's language OPC UA OPC DA MODBUS TCP MODBUS RTU
// How it fits

One stack, from signal to profit

PLANT DATA COMGATE CONNECTIVITY SOFT SENSING MPC / APC REAL-TIME OPTIMIZATION

Each layer stands alone, and each one feeds the next: ComGate moves the data, soft sensors turn it into measurements, MPC turns measurements into optimal moves, and RTO sets the most profitable targets plant-wide.

INDUSTRIAL AI · FIVE INDUSTRIES
// Autonomous operations

AI-powered autonomous operations

We believe the future of industry lies in autonomous, AI-powered operations that deliver smarter decisions, faster responses and optimized performance. Each sector faces its own challenges — safety risk in oilfields, grid instability in power systems, sustainability pressure in mining, intermittency in renewables and water scarcity in cities.

Our solutions combine AI, machine learning, computer vision and predictive modelling to address those challenges and transform operations across five industries.

>Designed and developed in-house by our teams in Abu Dhabi and Pakistan>Deployed on private, dedicated infrastructure behind your firewalls>Supported round the clock with monthly analytics and security reporting
// Industries

Deployed where you operate

Explore our solutions by industry to see how SMHcoders helps operations become autonomous, data-driven and sustainable.

// Why SMHcoders

Why industrial enterprises work with us

SMHCODERS // COMMITMENTS
Custom-built solutionsEvery solution is designed and developed in-house by our team in Abu Dhabi and Pakistan — full control over quality, security and support.
End-to-end integrationDesign, deployment and maintenance under one roof: AI and ML, cloud infrastructure and cybersecurity working in synergy.
Scalable and secure platformsWe operate on private, dedicated servers behind robust firewalls for uptime, data protection and performance visibility.
24/7 ongoing supportRound-the-clock support, proactive maintenance and full transparency with monthly analytics and security reporting.
FROM THE FIELD

Production-grade AI is not a demo. It is a model your operators trust at three in the morning.

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// FAQ

Common questions

Which solution fits our plant?+

Follow the stack: connectivity first (ComGate), then measurement (Soft Sensing), then control (MPC) and optimization (RTO). Monitoring solutions slot in wherever reliability hurts most.

What data do we need to start?+

Most engagements start with 6–24 months of historian, lab or document data. We audit coverage in the first week and tell you plainly if it is not enough — before you commit.

How long until we see results?+

A proof of concept on your historical data typically lands in 4–8 weeks. Production deployment follows once the KPI target is met and your team signs off.

Where does it run, and who sees our data?+

On your infrastructure — plant-side servers, your Azure or AWS tenancy, or an air-gapped network. Data never leaves your boundary, and nothing is used to train third-party models.

Who owns the result?+

You do. Handover includes source code, documentation, training sessions and a retraining plan.