
Build connected, intelligent systems with IoT and edge computing. Austronix delivers device connectivity, edge processing, real-time analytics, digital twins, industrial IoT and IoT security — engineered for scale and reliability.
IoT and edge computing are not just about connecting devices. They are about solving real operational problems — monitoring assets, optimizing processes, predicting failures, improving safety, automating decisions and reducing latency — by processing data where it is generated.
We help enterprises design, build and operate IoT and edge computing solutions that deliver measurable outcomes. Whether you need device connectivity, edge processing, edge AI, industrial IoT, digital twins, real-time analytics, predictive maintenance or a full IoT platform, we engineer the solution around your devices, environments and business goals.
Our approach combines IoT strategy, device and connectivity design, edge architecture, data pipelines, edge AI, cloud integration, analytics, digital twins, security and operations into one coordinated delivery process. Every solution is built on your devices and environments, validated against latency, reliability and cost metrics and monitored continuously.
We focus on IoT and edge systems that are reliable, secure and scalable in production — with device security, data protection, remote management, over-the-air updates, observability and evaluation frameworks built in from the start.
Enterprises see value in IoT but struggle with device complexity, connectivity, data volume, latency, security, edge management and integration. Our solutions are engineered to solve these problems in real operational environments.
Devices use many protocols and standards. We design connectivity layers that integrate sensors, machines, gateways and legacy equipment.
Sending all data to the cloud is slow and expensive. We process data at the edge to reduce latency and bandwidth.
Factories, field sites and remote locations have limited connectivity. We design resilient, intermittent-tolerant edge architectures.
Devices are attractive attack targets. We implement device identity, secure boot, encryption, network controls and monitoring.
Managing thousands of edge devices is hard. We implement provisioning, monitoring, OTA updates and remote management.
IoT data must feed ERP, MES, SCADA, CRM and analytics. We integrate edge and cloud with your enterprise systems.
End-to-end IoT and edge services — from strategy and connectivity to edge processing, analytics, digital twins, security and operations.
Assess your assets, environments, use cases and data to define an IoT strategy, architecture and roadmap.
Connect sensors, machines, gateways and legacy equipment using the right protocols and connectivity options.
Design and build edge computing platforms that process data close to where it is generated.
Deploy AI and ML models at the edge for real-time inference, detection and decisioning.
Build IIoT solutions for manufacturing, energy, logistics and industrial operations.
Build IoT data pipelines that ingest, process and route data from edge to cloud and enterprise systems.
Build digital twins of assets, processes and systems for simulation, monitoring and optimization.
Build dashboards and analytics for monitoring assets, operations, quality and performance.
Build predictive maintenance models that anticipate failures and reduce downtime.
Secure devices, edge, connectivity and data with identity, encryption, access control and monitoring.
Provision, monitor, update and manage edge devices and gateways at scale.
Integrate edge with cloud platforms, enterprise systems and analytics for end-to-end workflows.
IoT and edge solutions designed for specific industries, assets and operational goals.
Monitor machines, optimize OEE, improve quality and enable predictive maintenance on the factory floor.
Predict equipment failures with condition monitoring and reduce unplanned downtime.
Track and monitor assets, vehicles, equipment and inventory in real time.
Monitor energy, HVAC, occupancy and security across buildings and facilities.
Monitor grids, meters, pipelines and renewable assets with edge and IoT.
Track shipments, monitor conditions and optimize logistics with IoT.
Monitor shelves, footfall, inventory and store operations with sensors and vision.
Monitor crops, soil, weather and environmental conditions with edge and IoT.
Connect and monitor medical devices, equipment and facilities with security and compliance.
Provide perception, control and edge AI for robots, drones and autonomous systems.
Build digital twins of assets, processes and systems for monitoring and optimization.
Deploy vision AI at the edge for inspection, safety, quality and monitoring.
Whether you need device connectivity, edge computing, edge AI, industrial IoT, digital twins, predictive maintenance or IoT security — let's discuss your assets, environments, use cases and goals, and build an IoT and edge solution that turns physical data into action.

Real outcomes enterprises see when IoT and edge are engineered for production.
Predictive maintenance and real-time monitoring significantly reduce unplanned downtime.
IoT data and edge analytics improve quality, energy and utilization across operations.
Processing data at the edge reduces bandwidth and cloud data transfer costs significantly.
A structured lifecycle that takes an IoT and edge initiative from strategy to deployment, operations and continuous improvement.
We assess assets, devices, environments, use cases and data to define priorities and constraints.
We define the IoT strategy, edge architecture, connectivity, security and roadmap.
We connect devices, sensors, gateways and legacy equipment and set up connectivity and protocols.
We build the edge platform, workloads, processing, edge AI and store-and-forward capabilities.
We build edge-to-cloud pipelines and integrate with enterprise systems, analytics and data platforms.
We build dashboards, analytics, digital twins and predictive models on IoT data.
We implement device identity, encryption, access control, provisioning, OTA updates and monitoring.
We validate latency, reliability, security and integration, and deploy to production environments.
We monitor devices, edge, data and models, and improve performance, security and use cases over time.
The platforms, protocols and tools we use to build, deploy and operate IoT and edge solutions.
From focused IoT pilots to enterprise-wide IoT and edge programs.
The architectural patterns and engineering capabilities behind reliable, secure, scalable IoT and edge systems.
IoT and edge systems connect physical assets and generate sensitive operational data. We design security, privacy and compliance into the architecture from day one, aligned with your policies and industry obligations.
IoT quality means reliability, latency, accuracy, security, manageability and cost efficiency — validated continuously across devices, edge and cloud.
We maintain clear communication so stakeholders understand the architecture, devices, edge, data, security, costs and roadmap.
IoT engineering, edge depth and a focus on security and reliability — that's how we build connected systems that work in the real world.
From devices and connectivity to edge, cloud, analytics and security — we cover the full IoT stack.
We design edge platforms, edge AI and store-and-forward architectures for low latency and resilience.
We integrate with MES, SCADA, OPC-UA, Modbus and industrial systems for IIoT deployments.
We optimize and deploy AI models at the edge for real-time inference, vision and anomaly detection.
Device identity, secure boot, encryption, network controls and OTA security are built in from the start.
We implement provisioning, monitoring, OTA updates and remote management for edge fleets at scale.
We integrate IoT with ERP, MES, SCADA, CRM, data platforms and analytics.
We continue supporting your IoT with new devices, edge workloads, models, security and optimization.
Flexible delivery models for everything from a focused IoT pilot to a long-term IoT and edge program.
Validate an IoT use case in a controlled pilot with clear success metrics and a path to scale.
Ideal For
End-to-end delivery of a clearly defined IoT or edge solution with devices, edge, data and analytics.
Ideal For
A dedicated team continuously builds, improves and scales IoT and edge solutions across sites and use cases.
Ideal For
Operate and manage IoT devices, edge platforms, data pipelines and models with SLAs and continuous improvement.
Ideal For
Every engagement produces clear, reviewable artifacts across strategy, connectivity, edge, data, security and operations.
Lower downtime, better efficiency, real-time visibility and new capabilities — the outcomes IoT and edge deliver.
Predict failures and monitor assets to reduce unplanned downtime and maintenance cost.
Optimize processes, quality, energy and utilization with real-time IoT data.
Monitor assets, operations and environments in real time across sites and geographies.
Process data at the edge to reduce latency and bandwidth cost versus sending everything to cloud.
Enable edge AI, digital twins and autonomous systems that create new products and services.
Scale devices, edge and analytics across sites, regions and use cases without proportional cost.
You don't always need to replace equipment. Existing machines, sensors, gateways and enterprise systems can often be connected and integrated with IoT and edge.
Launching IoT is the beginning of its operational lifecycle. Devices, edge platforms, pipelines and models require monitoring, updates, security management and continuous improvement.
IoT connects physical devices and sensors to collect data, while edge computing processes that data close to where it is generated — reducing latency, bandwidth and dependence on the cloud.
We offer IoT strategy and assessment, device connectivity, edge computing architecture, edge AI, industrial IoT, real-time data pipelines, digital twins, IoT analytics, predictive maintenance, IoT security, fleet management and cloud-edge integration.
IoT focuses on connecting devices and collecting data. Edge computing focuses on processing data near the source — for lower latency, reduced bandwidth and real-time decisions.
We connect legacy machines and sensors using protocols like OPC-UA, Modbus, CAN Bus and MQTT through gateways and edge devices.
We implement device identity, secure boot, firmware signing, encryption, key management, network controls, OTA update security and monitoring.
We implement provisioning, monitoring, health diagnostics, OTA updates and remote management for edge fleets at scale.
Yes. We optimize and deploy AI and ML models at the edge for inference, vision, anomaly detection and decisioning.
We integrate IoT and edge with ERP, MES, SCADA, CRM, data platforms and analytics via APIs, events and data pipelines.
We report on downtime reduction, efficiency gains, quality improvement, energy savings, latency, data transfer cost and asset utilization — connected to business outcomes.
A focused pilot can typically be delivered in 6–12 weeks. A production IoT and edge solution with devices, edge, analytics and security usually takes 4–9 months depending on scope.
Yes. We design IoT and edge systems that support multiple sites, regions, connectivity conditions and tenants with centralized management.
Yes. We provide ongoing device and edge monitoring, OTA updates, security management, pipeline maintenance, model updates, new site expansion and analytics after launch.
We empower organizations across diverse sectors with custom technology architectures designed to solve unique operational challenges and accelerate market growth.
We create secure and scalable digital solutions for healthcare providers, pharmaceutical organizations, biotechnology companies, and medical technology businesses.
Healthcare platforms, patient portals, hospital systems, and digital health applications.
Research platforms, pharmaceutical operations, data management, and biotechnology solutions.
Connected medical technology, device platforms, monitoring systems, and digital medical solutions.

As enterprises embrace AI at scale, we’re helping them transform data into intelligence, insights into action, and potential into growth. Tell us a bit more about yourself, so we can explore what’s possible together.
We'll carefully review your requirements and assess the best path forward.
One of our dedicated experts will reach out to you within 24 hours.
We'll schedule a comprehensive discovery call to deeply understand your project goals.
We'll deliver a tailored AI strategy, technical proposal, and project roadmap.