Open Automation Software
Liberate your Industry 4.0 data with Open Automation Software IIoT platform for Windows and Linux. OAS is truly an unlimited IoT Gateway for Windows, Linux, Raspberry Pi 4, Windows IoT Core, and Docker deployments.
Create HMI visualization for web, WPF, and WinForm C# and VB .NET applications.
Log data and alarms to SQL Server, Oracle, MS Access, MySQL, Azure SQL, PostgreSQL, Cassandra, MongoDB, MariaDB, SQLite, InfluxDB, and CSV files.
MQTT Broker and Client interface along with cloud connectivity to Azure IoT and AWS IoT Gateway.
Read and write data from remote Excel Workbooks.
Alarm notification to email, SMS text, and voice messaging.
.NET and REST API programmatic access.
Allen Bradley ControlLogix, CompactLogix, GuardLogix, Micro800, MicroLogix, SLC 500, and PLC-5.
Siemens S7-200, S7-300, S7-400, S7-1200, and S7-1500.
Modbus TCP, Modbus RTU, and Modbus ASCII for Master and Slave communications.
OPTO-22, MTConnect, and OPC UA, OPC DA.
Learn more
TagoIO
TagoIO is a full-stack cloud software that lets users turn IoT sensor data into smart solutions without dealing with cloud complexity. It supports connecting and managing devices from more than 500 communication types, including LoRaWAN, NB-IoT, Wi-Fi, satellite, BLE, MQTT, and HTTP, with preconfigured connectors to decode device data into a standard format. It provides scalable device management, secure data storage, real-time visualization, custom analytics, automation, alerts, and multi-tenant access control so users can build dashboards, workflows, and logic in one environment. TagoIO simplifies building and deploying IoT applications with templates, drag-and-drop interfaces, and APIs while handling backend infrastructure, enabling rapid development and deployment. It offers advanced analytics to transform raw data into actionable insights and supports edge computing, mobile access, white-labeling, and integration with external systems.
Learn more
Embiot
Embiot® is a compact, high performance IoT analytics software agent for IoT gateway and smart sensor applications. This edge computing application is small enough to integrate directly into devices, smart sensors and gateways, but powerful enough to calculate complex analytics from large amounts of raw data at high speed. Internally, Embiot uses a stream processing model to enable it to handle sensor data that arrives at different rates and out of order. It has a simple intuitive configuration language and a rich set of math, stats and AI functions making it fast and easy to solve your analytics problems. Embiot supports a range of input methods including MODBUS, MQTT, REST/XML, REST/JSON, Name/Value and CSV. Embiot is able to send output reports to multiple destinations concurrently in REST, MQTT and custom text formats. For security, Embiot supports TLS selectively on any input or output stream, HTTP and MQTT authentication.
Learn more
Azure IoT Edge
Azure IoT Edge is a fully managed service built on Azure IoT Hub. Deploy your cloud workloads, artificial intelligence, Azure and third-party services, or your own business logic, to run on Internet of Things (IoT) edge devices via standard containers. By moving certain workloads to the edge of the network, your devices spend less time communicating with the cloud, react more quickly to local changes, and operate reliably even in extended offline periods. Deploy models built and trained in the cloud and run them on-premises. For example, if you deploy a predictive model to a factory camera to test for quality control and an issue is detected, IoT Edge triggers an alert and processes the data locally or sends it to the cloud for further analysis. Operate your edge devices reliably and securely, even when they’re offline or they have intermittent connectivity to the cloud. Azure IoT Edge device management automatically syncs the latest state of your devices.
Learn more
