AI Services — SMHcoders
AI SERVICES

AI and machine learning services

Custom models, chatbots, vision systems and GPT integrations — scoped on one measurable use case, built on your data, deployed on your infrastructure.

Free AI Consultation Industrial AI solutions
ENGINEERING · ABU DHABI + PAKISTAN
6AI services
5Industries served
2Engineering hubs — UAE + Pakistan
On-prem / cloudYour infrastructure, your data
// Services

Choose where to start

AI Development Services

End-to-end delivery — data audit, model build, deployment and monitoring.

Learn more
AI Chatbot Development

Grounded chatbots for operators and customers — web, Teams and WhatsApp.

Learn more
Natural Language Processing

Extraction, classification and search over reports, logs and documents.

Learn more
Predictive Modelling

Quality, emissions and equipment-health prediction, validated against your lab.

Learn more
Computer Vision

Detection and inspection on camera feeds and engineering drawings.

Learn more
ChatGPT Integrations

Private GPT endpoints, retrieval, guardrails and audit logs.

Learn more
AI and ML Solutions

Our project portfolio and the model families behind it.

Learn more
// Process

How every engagement runs

The same five stages, whichever service you start with.

STEP 01ScopeOne measurable use case, one owner, agreed success criteria.
STEP 02Audit the dataCoverage, quality and gaps checked before any commitment.
STEP 03Prove itProof of concept on your historical data.
STEP 04BuildProduction-grade, tested, versioned and documented.
STEP 05Deploy and monitorIntegrated, monitored and retrained on schedule.
// Get started today

Four steps from first contact to kickoff

01
Contact usReach out with the basics of your project. A short brief helps us respond quickly, with the right engineer.
02
Free consultationA no-obligation session to assess feasibility, explore the technical options and align on your goals.
03
Cost estimateA clear estimate and a tailored proposal — timeline, deliverables and scope — with full transparency from day one.
04
Project kickoffA multidisciplinary team starts work under agile practice, with open communication through to launch.
SMHCODERS // METHOD

One measurable use case, proven on your data, running on your infrastructure — that is the whole method.

Book a free consultation
// FAQ

Common questions

Which service should we start with?+

The one attached to your most expensive open problem. In the consultation we rank your candidate use cases by value and data readiness — that ranking picks the service.

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.