Legacy manufacturing equipment and field machinery rarely offer modern APIs. We retrofit factory PLCs, Modbus sensors, and SCADA networks with edge-gateway protocol translation, streaming critical operational metrics to modern cloud environments without risking production uptime.
Eliminate vendor lock-in and isolated data silos. We integrate public platforms such as AWS IoT Core and Azure IoT Hub or proprietary frameworks directly into core enterprise applications to automate cross-system workflows.
For supply chain tracking and audit-ready compliance, we write critical telemetry events (temperature excursions, seal breaches, location pings) directly to immutable distributed ledgers, establishing verifiable proof of custody across stakeholders.
High-frequency sensor streams require specialized data pipeline architectures. We implement a dual-path routing engine: real-time time-series ingestion (InfluxDB, TimescaleDB) for immediate alerting, alongside cold-path data lakes (S3, Snowflake) for training predictive AI models.
Unintegrated devices and isolated data streams create unmonitored equipment failures, inflated bandwidth costs, and costly operational delays.
Our IoT integration services bridge physical field assets, cloud message brokers, and enterprise software (SAP, Salesforce, ServiceNow) to establish a fully automated, unified enterprise ecosystem.
Streaming raw, unfiltered sensor chatter directly to cloud brokers rapidly inflates your monthly cloud infrastructure bills. Without edge filtering, you pay high bandwidth fees to transfer static payload noise that carries zero business value.
Modern cloud environments cannot natively parse binary, serial, or proprietary payloads from factory-floor PLCs without an intermediate translation layer. Forcing custom code integration risks operational downtime and fragile pipeline bridges.
Connecting remote field hardware using basic API keys, hardcoded credentials, or single-factor SSL opens your critical enterprise networks to cyber risks, device spoofing, and unauthorized data tampering.
Relying on human operators to manually spot dashboard telemetry spikes, rather than automatically triggering backend workflows, drastically delays emergency response during critical equipment failures.
When scaling enterprise IoT infrastructure, off-the-shelf tools and quick scripts fail under high data volume, mixed hardware protocols, and strict security requirements.
Linkitsoft’s IoT Integration Engine is custom-engineered to eliminate protocol friction, reduce cloud egress costs, and deliver enterprise-grade, zero-trust device security across your entire operational ecosystem.
We have gained a long list of contented clients by delivering top-notch IT solutions.
We map your devices, protocols, data sources, cloud services, and enterprise applications to identify integration gaps and technical requirements.
We design the IoT integration architecture across edge gateways, messaging layers, security controls, data pipelines, and cloud infrastructure.
We integrate devices and systems using MQTT, OPC UA, Modbus, CoAP, HTTPS, gRPC, and APIs to create a reliable flow of operational data.
We apply edge filtering, data normalization, routing rules, and threshold-based processing to reduce unnecessary traffic and infrastructure load.
We prepare the integration framework for growing device fleets with centralized monitoring, alerts, access controls, and performance tracking.
We thrive on accelerating the path to disruption and implementing agile methodologies to design, build, deliver, and scale digital solutions. Our future-proof, growth-centric tech has earned us notable awards and recognition across industries and regions.
By executing localized edge filtering, only meaningful state changes, heartbeats, and threshold breaches are forwarded to cloud message brokers, dramatically reducing bandwidth costs.
Bridge physical legacy PLCs with modern IoT platforms without interrupting critical assembly lines or running the risk of hardware downtime.
Instantly convert threshold violations into field service work orders inside ServiceNow or Salesforce before equipment failure occurs.
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