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IoT platform development & industrial IoT

Custom IoT platform on Go: industrial equipment monitoring, 1000+ sensors, predictive analytics.

Industrial IoT: sensors on equipment, edge gateway, cloud analytics and dashboards

Challenges we solve

Data collection under unstable connection conditions.

Predicting breakdowns before they actually occur.

Integration with legacy industrial equipment.

Key capabilities

  • Predictive Maintenance (PdM)
  • Asset health monitoring systems
  • Logistics chain automation
  • Digital twins of enterprises

Technologies

Go
Modbus TCP
MQTT
NestJS
InfluxDB
PostgreSQL
PyTorch

Why NineLab?

Edge gateways: data buffering when shop-floor connectivity drops

Modbus, OPC-UA, MQTT — integration without replacing controllers

Time-series + ML: from real-time dashboards to predictive alerts

Your outcome

-30%

Reduction in unplanned maintenance costs.

24/7

Continuous monitoring of critical components.

95%

Equipment failure prediction accuracy.

Cost of downtime

$8,000+

A single unplanned 4-hour line stoppage can cost more than a full year of IoT platform development. Predictive analytics pays off if it prevents 2–3 such incidents per year.

What it looks like

Real screens from the BMS dispatch and monitoring system

Ready to discuss your project?

First consultation is free — describe your task and we'll propose architecture and timeline estimates.

Our approach

We design IoT platforms with a three-tier architecture: an edge gateway on the shop floor buffers data during connectivity loss, an MQTT broker aggregates streams from thousands of sensors, and time-series storage with ML models runs in the cloud. Legacy equipment integration via Modbus, OPC-UA, and industrial protocols — without replacing existing controllers.

From pilot to production

01
Audit and pilot

Survey the shop floor, pick critical nodes, connect 10–30 sensors and validate the hypothesis on real data.

02
Edge + cloud architecture

Edge gateway for buffering, MQTT broker, time-series storage and operator dashboards.

03
Scale to production

Connect hundreds and thousands of devices, configure alerts, fault tolerance and SLA monitoring.

04
Predictive analytics

ML models on historical data, failure forecasting and integration with maintenance workflows.

FAQ

Depends on device count and protocols. A pilot with 10–30 sensors and a dashboard typically takes 1–3 months. We'll provide a budget range on consultation.

Modbus TCP/RTU, MQTT, OPC-UA, SNMP and proprietary controller APIs. We integrate with existing equipment without replacing PLCs.

No. We connect to existing controllers and sensors. An edge gateway runs locally and works autonomously when connectivity drops.

Pilot: 4–8 weeks. Production with hundreds of devices: 3–6 months depending on protocol diversity and fault-tolerance requirements.

Yes. We recommend one line or critical node first, prove ROI on downtime savings, then scale architecture without rework.

Discuss your project

Describe your task — we respond within 2 business hours.

Free initial consultation

Timeline and architecture assessment

NDA on request

Or call: +7 (912) 232-74-87 · full contacts page