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AI that reads your site, not replaces your systems.
ZAM-TEK builds operational AI on top of industrial telemetry for sites in Turkmenistan, Uzbekistan, and the UAE. Machine data — worker and asset locations, engine hours, fuel levels, emissions — is connected to AI systems that detect exceptions, predict failures, and automate routine decisions: predictive maintenance, automated mustering, geofence breach detection, emissions analytics, and asset-utilization reporting. The rule is integration-first: your ERP, HSE, and 1C systems stay the systems of record, and AI outputs feed them through APIs. Because ZAM-TEK also deploys the sensing and connectivity layers, the data the AI reads is data we know how to trust.
The three-layer model
RTLS tags, GPS trackers, CAN-bus telematics, fuel-level sensors, LoRaWAN environmental sensors, drone imagery, satellite emissions data. The AI layer is only as good as this layer — which is why we deploy it ourselves.
Wirepas mesh, microwave backhaul, LoRaWAN, and offline buffering move the data off the site reliably — including underground, RF-restricted, and desert environments where ordinary networks fail.
Streams become alerts, KPIs, and workflows inside your existing HSE or ERP systems — exceptions flagged, failures predicted, routine decisions automated, reports written themselves.
What the AI actually does
Predictive maintenance
Engine hours and vibration data flag equipment heading toward failure — maintenance scheduled on evidence, not on the calendar or the breakdown.
Mustering automation
Evacuation accountability reports generated automatically from RTLS location data — who is mustered, who is not, without radio calls and clipboards.
Geofence breach detection
Zone violations detected and escalated in real time, with the event logged for HSE review — restricted areas become enforced, not signposted.
Emissions analytics
Sensor and site emissions data turned into reporting-ready analytics for environmental exposure.
Utilization dashboards
Location and telemetry history becomes utilization facts — which assets work, which idle, and what the next procurement round should look like.
OCR & intake agents
Document and OCR intake plus AI agents wired into operational workflows — routine paperwork processed where the data already lives.
The integration-first rule
Connect, don't replace
Keep the buyer's systems of record; connect telemetry only where it improves operational decisions. AI outputs feed your ERP, HSE, and 1C systems through APIs — no platform migration, no retraining the whole organization.
- ERP / HSE / 1C stay in place
- API-based data flow, both directions
- Adoption measured in weeks, not quarters
We own the data path
Most AI vendors never see the site; most integrators never write the AI. ZAM-TEK deploys the sensors, builds the network, and wires the AI — so when a prediction looks wrong, one accountable team checks the whole chain.
- Sensing, connectivity, and AI from one integrator
- Pilot-first: month-one KPI dashboards before scale
- Procurement evidence pack for tenders
Answers, up front
What is industrial AI integration?
Connecting live operational data — worker and asset locations, vehicle telematics, fuel sensors, emissions measurements — to AI systems that detect exceptions, predict failures, and automate routine decisions, inside the buyer's existing HSE or ERP systems.
Can AI integration work without replacing our ERP or HSE systems?
Yes — that is the point. The model is integration-first: telemetry and AI outputs feed your existing HSE, ERP, and 1C systems through APIs. Systems of record stay in place.
What data sources can industrial AI use on site?
RTLS location events, GPS and CAN-bus telematics, fuel-level sensors, LoRaWAN environmental sensors, drone inspection imagery, and satellite emissions data — sources ZAM-TEK typically deploys and maintains itself.
What AI use cases does ZAM-TEK deploy?
Predictive maintenance from engine hours and vibration, automated mustering reports, geofence breach detection, emissions analytics, asset-utilization dashboards, document/OCR intake, and AI agents wired into existing operational workflows.
Your telemetry already knows. Ask it.
Tell us which systems you run and which decisions cost you the most — we reply with a scoping path within one working day.