Every integration starts with a protocol audit. Our engineers map each field device to its native protocol — Modbus RTU and TCP, OPC UA, MQTT, BACnet, LoRaWAN, ProfiNet (read-only via dedicated taps), and EtherNet/IP — and define exactly which registers, tags, or topics carry the variables the business actually needs. We document register-by-register, not "we connected the panel". This catalogue becomes the single source of truth that every downstream system, from SCADA to AI model, will reference for the next decade.

The edge layer is where most projects succeed or fail. We deploy our in-house SRT-MGATE-1210 industrial gateway — designed and manufactured for the Indonesian climate, voltage range, and cellular environment — as the default platform. When a project demands certified third-party hardware, we integrate Moxa, Advantech, Siemens IoT2050, or Dell Edge gateways with the same engineering rigor. Every gateway runs store-and-forward buffering so an unreliable 4G link never loses production data, and edge analytics so low-latency control loops execute locally rather than waiting on a round-trip to the cloud.

Network architecture follows the Purdue Reference Model for OT/IT segmentation. We design DMZs between Levels 2 and 3, deploy industrial firewalls from Hirschmann, Moxa, or Fortinet, and tunnel all north-bound traffic through TLS 1.3 with mutual authentication. For brownfield sites we add deep-packet inspection on the OT side to catch unexpected traffic patterns before they reach the corporate network. Security is not a bolt-on; it is baked into the reference architecture we hand to the customer on day one.

Cloud destinations are chosen by project, not by partnership. AWS IoT Core in the Singapore and Jakarta regions, Azure IoT Hub Southeast Asia, Google Cloud IoT (where still applicable), and on-premise InfluxDB plus Grafana stacks all see regular deployment. For customers preferring a turn-key platform, our SURGE SaaS sits ready with multi-tenant isolation, KLHK SPARING-ready ingest, and white-label dashboards. We routinely run hybrid architectures where sensitive process data stays on-premise while non-sensitive aggregates flow to cloud dashboards for executive visibility.

Reference patterns recur across our project portfolio: time-series compression for high-frequency vibration data, change-of-value publishing to reduce cellular cost, hot-cold storage tiering for long-term audit retention, and edge inference for safety-critical alarms that cannot tolerate a network round-trip. Every pattern is selected to match the specific failure modes of the plant — not chosen because the vendor brochure recommended it.