Industrial IoT (IIoT)
Deploy factory floor monitoring, predictive maintenance engines, and sensor data ingestion systems designed for harsh industrial environments.
Hardware only captures data; software makes it useful. We build secure, high-throughput IoT ecosystems designed to process millions of events per second without dropping packets. From edge device firmware to cloud-native analytics dashboards, our distributed engineering teams build the infrastructure that connects your physical operations to digital intelligence.
Tell us about your sensor network or connected device vision. We will provide a technical architecture roadmap and estimate within 30 minutes.
Fast response. Your IP is protected by our global Non-Disclosure Agreement (NDA).
Most IoT projects fail due to network instability and poor edge architecture. At Xaylon Labs, we treat IoT engineering as a distributed systems challenge, focusing on reliability at every node.
Our approach to IoT development in India is built on three pillars: offline resilience, secure OTA (Over-The-Air) updates, and massive data ingestion. Whether we are building a factory floor monitoring system or a smart consumer device, we ensure the system handles network dropouts gracefully and updates safely.
With a deep focus on industrial edge computing, our global delivery teams have engineered systems that process millions of MQTT messages per second. We don't just connect devices; we build the infrastructure that turns raw telemetric data into actionable business intelligence.
Reliability is engineered. By leveraging edge-level processing and redundant cloud pipelines, we minimize latency and ensure your physical operations are always visible.
Secure MQTT bi-directional messaging
Edge computing for offline resilience
x.509 certificate-based authentication
Real-time sub-second data visualization
Secure OTA firmware update pipelines
Time-series data storage & analytics
We provide end-to-end software development for the physical world. From low-level firmware to cloud-native orchestration.
Deploy factory floor monitoring, predictive maintenance engines, and sensor data ingestion systems designed for harsh industrial environments.
Embedded engineering using C/C++, RTOS, and MicroPython for edge-level data processing and device logic control.
Architecting secure backends on AWS IoT Core or Azure IoT Hub for bi-directional messaging and device shadow management.
Real-time Next.js/React portals with WebSocket integration for sub-second visibility into your global device health.
Secure, multi-region firmware deployment systems that ensure devices are always running the latest authorized code.
Connect your IoT data to ERPs, CRMs, and business intelligence suites like SAP, Salesforce, or custom internal tools.
Ideal for Concept validation. Includes edge device integration, basic MQTT broker setup, and a lean visualization dashboard for stakeholders.
Designed for Scale-ready operations. Multi-device orchestration, secure OTA update pipelines, and real-time cloud analytics with redundancy.
Unified Industrial setups. High-concurrency factory monitoring, custom edge AI deployment, deep ERP integration, and 24/7 technical surveillance.
Typical investment ranges for custom IoT engineering. Final cost is determined by sensor volume, logic complexity, and integration requirements.
Deployed an edge-computing IoT network to measure biogas feedstock logistics and plant data in real-time. Eliminated physical waste management checks and increased operational visibility by 85%.
Engineered a secure telemetry pipeline processing 10,000+ MQTT messages per second, giving the central operations team sub-second visibility into global asset health.
From industrial telemetry to consumer smart devices, we provide the hardware-software bridge you need. Let's engineer your connected future.