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IoT Applications/Edge Device Integration
S3 Shape · Edge Integration

Edge Device Integration

We integrate sensors, gateways, and edge processors into unified IoT systems. Whether you need protocol translation between legacy industrial equipment or edge computing for real-time decision making, we bridge the gap between physical devices and your cloud platform.

What We Deliver Icon

What We Deliver

Core capabilities

IoT Gateway Development

We build custom gateway software that handles protocol translation, local data processing, and edge computing. Our gateways run on industrial hardware and manage connectivity between field devices and cloud services.

Protocol TranslationEdge ComputingLocal ProcessingCustom Gateways

Sensor Integration

We connect industrial sensors across analog and digital interfaces, including RS485, 4-20mA current loops, Modbus RTU, and digital I/O. Our integration covers calibration, signal conditioning, and data normalization.

RS4854-20mAModbus RTUDigital I/OCalibration

Edge Computing and Processing

We deploy ML inference models and data processing pipelines directly on edge devices. Local filtering, aggregation, and anomaly detection reduce bandwidth usage and enable real-time responses without cloud round-trips.

ML InferenceData FilteringAggregationAnomaly Detection

Protocol Translation

We build protocol bridges that convert between industrial and IoT standards. Modbus to MQTT, BACnet to REST, OPC-UA to cloud APIs, and custom binary protocols all become part of a unified data layer.

Modbus to MQTTBACnet to RESTOPC-UACustom Protocols

Connectivity Management

We implement robust connectivity stacks with automatic failover between cellular, Wi-Fi, Ethernet, LoRaWAN, and satellite links. Connection health monitoring and adaptive data routing keep your devices online.

CellularWi-FiLoRaWANSatelliteFailover

Edge to Cloud Pipelines

We design data pipelines that buffer, compress, and forward telemetry from edge to cloud. Store-and-forward mechanisms handle intermittent connectivity, and data prioritization ensures critical events arrive first.

Store-and-ForwardCompressionBufferingData Priority
Engineering Flow Icon

Engineering Flow

How we execute

01Site Survey > Device InventoryDiscovery
02Gateway Architecture > Protocol MappingDesign
03Sensor Interface DevelopmentBuild
04Protocol Bridge ImplementationBuild
05Edge Logic > Local ProcessingBuild
06Connectivity Stack > Failover TestingTest
07End-to-End Pipeline ValidationValidate
08Field Deployment > Remote MonitoringRelease
Tech Stack Icon

Tech Stack

Tools & technologies

Raspberry Pi / Compute Module

Versatile edge compute platform for gateway applications and local processing.

LinuxGPIOUSBEthernet

NVIDIA Jetson

GPU-accelerated edge computing for ML inference, computer vision, and heavy data processing.

Jetson NanoOrinCUDATensorRT

Industrial Gateways

Ruggedized hardware from Advantech, Moxa, and Sierra Wireless for harsh environments.

DIN RailIP65Wide Temp

Node-RED

Visual flow-based programming for rapid protocol bridging and data transformation.

FlowsMQTTModbusHTTP

Python

Edge application development, data processing scripts, and ML model deployment.

asynciopandasTensorFlow Lite

Docker / Balena

Containerized edge deployments with remote management, OTA updates, and fleet orchestration.

ContainersOTAFleet Mgmt

MQTT / Mosquitto

Lightweight messaging protocol for device-to-cloud and device-to-device communication.

QoSTLSRetained Messages

Modbus / OPC-UA

Industrial communication protocols for PLCs, sensors, and SCADA system integration.

RTUTCPOPC-UABACnet

LoRaWAN / Cellular

Long-range and cellular connectivity for remote and mobile edge deployments.

LoRaLTENB-IoTCat-M1

Ready to connect your edge devices?

We start with your existing hardware and protocols, then build the integration layer that ties everything together.