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IoTService — KorabTech Technologies

Connected devices.Real-time data.Nigerian industry.

We build IoT systems that connect physical devices — sensors, machines, vehicles, medical equipment — to cloud platforms for real-time monitoring, automation and predictive maintenance. Smart factories, precision agriculture, medical IoT and smart building systems built from Lagos.

MQTT
& AMQP protocols
Edge
Computing capable
AWS
IoT Core certified
Real
time data streams
📡
IoT Sensor & Device Integration
Connect industrial sensors, PLCs, medical devices and consumer electroni...
Available
🔲
IoT Firmware Development
Custom embedded firmware for microcontrollers — sensor data acquisition,...
Available
Edge Computing
Local data processing at the device edge — reducing cloud bandwidth, ena...
Available
🏭
Industrial IoT (IIoT) Platforms
Factory and plant monitoring — machine health dashboards, OEE metrics, p...
Available
Why Now

Nigeria's physical economy is enormous. Almost none of it is instrumented.

Nigerian manufacturers, farmers, energy companies and hospital networks operate physical assets — machines, generators, irrigation systems, medical devices — that produce no digital data. Equipment fails without warning. Inventory is managed by spreadsheet. Energy consumption is unoptimised.

IoT instrumentation changes this. A Nigerian cement factory with sensor-equipped kilns can predict bearing failures 2 weeks in advance. A Lagos hospital with connected generators knows the fuel level before it runs out during surgery. A grain storage facility with humidity sensors prevents billions in spoilage.

The global IoT market is projected to reach roughly $650B by 2026. Nigerian industry has real, largely untapped instrumentation opportunity — and KorabTech is building toward it.

$650B
Projected global IoT market by 2026
Low
Adoption of sensor/IoT instrumentation among Nigerian SMEs today
What We Build

8 IoT service offerings.

Every service includes full documentation, source code handover and a 90-day post-launch support window.

📡
IoT Sensor & Device Integration
Connect industrial sensors, PLCs, medical devices and consumer electronics to cloud platforms. Protocol translation, firmware interfaces and secure device onboarding.
MQTTOPC-UAModbusAWS IoTAzure IoT Hub
🔲
IoT Firmware Development
Custom embedded firmware for microcontrollers — sensor data acquisition, local processing, secure MQTT transmission and OTA update capability.
ESP32STM32FreeRTOSC/C++MicroPythonOTA
Edge Computing
Local data processing at the device edge — reducing cloud bandwidth, enabling real-time local decisions and maintaining operation during internet outages.
AWS GreengrassAzure IoT EdgeNVIDIA JetsonTensorRT
🏭
Industrial IoT (IIoT) Platforms
Factory and plant monitoring — machine health dashboards, OEE metrics, predictive maintenance alerts and production line visualisation.
Ignition SCADANode-REDInfluxDBGrafanaOPC-UA
🌱
Smart Agriculture Systems
Precision farming — soil moisture, temperature, humidity and weather station networks. Automated irrigation, yield prediction and farmer mobile dashboards.
LoRaWANSoil SensorsIrrigation ControlWeather API
🏥
Medical IoT
Remote patient monitoring — wearables integration, vital signs streaming, alert escalation and HL7/FHIR data formatting for hospital EHR integration.
Bluetooth LEHL7FHIRAWS HealthLakeWearables
🏙️
Smart Building & Facilities
Building automation — HVAC control, energy monitoring, access control integration, occupancy sensing and predictive maintenance.
BACnetKNXEnergy MonitoringAccess ControlHVAC
📊
IoT Data Platform & Analytics
Time-series data ingestion, storage and analytics — InfluxDB, real-time dashboards, anomaly detection and predictive analytics.
InfluxDBTimescaleDBApache KafkaGrafanaML Anomaly
Use Cases

Real Nigerian business problems we solve.

Live opportunities in the Nigerian market — businesses currently paying overseas rates for these exact solutions.

01
🏭 Manufacturing
Predictive Maintenance for Cement Factory
Vibration and temperature sensors on critical rotating equipment — ML model predicts bearing failure 2 weeks in advance, enabling planned maintenance vs emergency shutdown. Reduces unplanned downtime by 60%.
02
🌾 Agriculture
Smart Irrigation for Commercial Farms
Soil moisture sensor network across 500-hectare tomato farm — automated drip irrigation triggered by soil data, weather integration and 35% reduction in water usage vs manual irrigation.
03
⚡ Energy
Generator Fleet Monitoring for Telecoms
Remote monitoring of 5,000 diesel generators at telecom tower sites — real-time fuel levels, runtime data, fault alerts and automated dispatch routing for maintenance teams.
04
🏥 Healthcare
Maternity Ward Vital Signs Monitoring
Continuous fetal heart rate and maternal vital signs monitoring via IoT devices — nurse alert system for abnormal readings, data fed to EHR and 24/7 remote physician viewing portal.
05
🏢 Real Estate
Smart Building Energy Management
Energy monitoring and HVAC optimisation for commercial office buildings in Lagos — 20-25% energy cost reduction through occupancy-based climate control and equipment scheduling.
06
🚚 Logistics
Cold Chain Temperature Monitoring
Temperature loggers in refrigerated trucks transporting pharmaceuticals — real-time temperature alerts, chain-of-custody logs for NAFDAC compliance and automatic customer notifications on excursion events.
Technology Stack

The tools our engineers actually use.

No proprietary lock-in. No obsolete frameworks. The same tools the best firms globally use.

📡
MQTT
IoT messaging protocol
🔲
ESP32
Microcontroller platform
🍓
Raspberry Pi
Edge compute device
☁️
AWS IoT Core
Cloud IoT platform
🔵
Azure IoT Hub
Microsoft IoT cloud
🌿
AWS Greengrass
Edge runtime
📈
InfluxDB
Time-series database
📊
Grafana
IoT dashboards
🌊
Apache Kafka
Data streaming
📟
LoRaWAN
Low-power networking
🤖
TensorFlow Lite
On-device ML
🔧
Node-RED
IoT flow builder
Our Process

How a IoT project gets built.

Every project follows a structured, phased delivery process. Each phase has a defined deliverable, a sign-off milestone and a go/no-go before the next phase begins. You see exactly where your project stands at all times.

Phase 1
IoT Discovery & Architecture
Device inventory, connectivity assessment, data requirements, cloud architecture design and proof-of-concept hardware selection.
2–3 weeks
Phase 2
Hardware Prototype
Sensor selection, microcontroller firmware prototype, connectivity test and power consumption analysis for battery-powered devices.
2–4 weeks
Phase 3
Platform Development
Cloud IoT platform, data ingestion pipeline, time-series database, dashboard and alerting system development.
4–8 weeks
Phase 4
Pilot Deployment
Deploy sensors at pilot site — typically 10-20 devices. Validate data accuracy, connectivity reliability and alert thresholds.
2–4 weeks
Phase 5
Full Rollout
Scale to full deployment. OTA firmware update system, device management portal and field installation support.
4–12 weeks
Phase 6
Operations & Analytics
Ongoing device monitoring, firmware updates, predictive model retraining and dashboard evolution as operational insights mature.
Ongoing
Pricing

Flexible pricing for every scale.

All projects start with a free discovery call. Final quotes depend on scope — contact us for a tailored proposal with no hidden fees.

Starter
IoT Pilot

  • Up to 20 devices
  • Cloud IoT platform setup
  • Real-time dashboard
  • Alert and notification system
  • 30-day post-launch support
Get Started
Enterprise
Industrial IoT Platform

  • Unlimited device scale
  • Full SCADA integration
  • Custom edge computing nodes
  • Digital twin platform
  • 12-month support retainer
  • On-site installation support
Get Started
FAQ

Common questions answered honestly.

Does IoT work reliably with Nigeria's unstable internet connectivity?
Yes — we design for it explicitly. All our IoT systems use edge computing to process data locally and buffer it when connectivity drops. When internet is restored, data syncs automatically with no gaps. For critical monitoring (medical, safety), we include GSM/cellular as a backup connectivity path alongside primary WiFi or LAN.
What is the typical hardware cost for an IoT deployment?
Hardware costs vary enormously by use case. A simple soil moisture sensor node costs $15-$30. An industrial vibration sensor with edge processing costs $200-$500. Medical-grade monitoring devices are $500-$2,000 per unit. We specify and source hardware as part of the project and can work with locally sourced components to reduce import costs and lead times.
Can you integrate with our existing SCADA or PLC systems?
Yes. We have experience integrating with Siemens, Allen-Bradley and Schneider Electric PLCs using OPC-UA and Modbus TCP protocols. We can pull data from existing SCADA systems without replacing them — adding cloud connectivity, analytics and mobile dashboards on top of your current automation investment.
Who owns the IoT hardware and platform after the project?
All hardware is yours from day one. The platform software — firmware, cloud backend, dashboards — is handed over fully at project close with complete source code and documentation. We offer an optional managed operations retainer for monitoring and firmware updates.
Ready to Build

Your IoT project.
Our engineers. Nigeria's infrastructure.

Book a free 60-minute technical consultation. No pitch, no obligation — just an honest conversation about your project and what it takes to build it right.

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