Alternatives to Actcast

Gravio offers innovative methods to engage with your surroundings by harnessing the capabilities of IoT, sensors, edge computing, computer vision, and AI, all without requiring any programming expertise. This user-friendly software platform is compatible with Windows, macOS, and Linux systems. It allows seamless connectivity to various inputs and outputs, including integral IoT sensors, AI-driven cameras, and APIs such as MQTT and HTTP. With its straightforward interface, Gravio can be utilized effectively without any software development skills. By linking sensors, input devices, cameras, and APIs, Gravio captures and disseminates information, paving the way for novel interactions and insights that enrich physical spaces. The platform empowers entrepreneurs and organizations from diverse sectors to design tailored, connected experiences in both new and existing environments by providing a robust low-code/no-code framework. Ultimately, Gravio stands as a gateway to unlocking the full potential of interconnected technologies for users of all backgrounds.

Open Automation Software IIoT platform Windows and Linux allows you to liberate your Industry4.0 data. OAS is an unlimited IoT Gateway that works with Windows, Linux, Raspberry Pi 4 and Windows IoT Core. It can also be used to deploy Docker containers. HMI visualizations for web, WPF, WinForm C#, and VB.NET applications. Log data and alarms to SQL Server and MS Access, SQL Server, Oracle and MS Access, MySQL and Azure SQL, PostgreSQL and Cassandra. MQTT Broker and Client interface, as well as cloud connectivity to Azure IoT Gateway and AWS IoT Gateway. Remote Excel Workbooks can be used to read and write data. Notifications of alarm sent to voice, SMS text and email. Access to programmatic information via REST API and.NET Allen Bradley ControlLogix and CompactLogix, GuardLogix. Micro800, MicroLogix. MicroLogix. SLC 500. PLC-5. Siemens S7-220, S7-3300, S7-405, S7-490, S7-1200, S7-1500, and S7-1500 Modbus TCP and Modbus RTU are Modbus ASCII and Modbus TCP for Master and Slave communication. OPTO-22, MTConnect and OPC UA, OPC DA.

Wiliot’s IoT Pixels enable all types of products and objects to identify and address inefficiencies and challenges they face. When integrated with machine learning and cloud-based artificial intelligence, the Wiliot Platform offers advanced sensing capabilities, including temperature and location tracking. The Wiliot IoT ecosystem facilitates seamless internet connectivity for various devices by utilizing a widespread network of Bluetooth-enabled gadgets such as smartphones and access points. These innovative, postage stamp-sized devices are battery-free, generating their power by capturing ambient radio waves, which allows for an almost limitless operational lifespan. Their compact design, combined with the ability to function with minimal infrastructure for energy harvesting and data reading, makes them highly advantageous. The combination of being battery-free and cutting-edge tag production methods further enhances the IoT Pixels' benefits concerning size, cost, and ease of maintenance. Additionally, the integration of multiple harvesting units along with nano-watt computing capabilities marks a significant advancement in the field of IoT technology.

Node-RED is a versatile programming tool designed for connecting various hardware devices, APIs, and online services in innovative ways. Featuring a user-friendly, browser-based editor, it allows users to easily create flows by utilizing a diverse array of nodes available in its palette, which can be deployed to its runtime with just a single click. The platform supports the creation of JavaScript functions directly within the editor, enhanced by a rich text editor for ease of use. Additionally, a built-in library is available for users to save and reuse useful functions, templates, or flows, streamlining the development process. Built on Node.js, Node-RED leverages its lightweight runtime architecture, capitalizing on an event-driven and non-blocking model that makes it exceptionally suited for deployment on low-cost devices like the Raspberry Pi, as well as in cloud environments. This flexibility ensures that developers can operate efficiently regardless of the hardware they choose to use.

Amazon Elastic Inference provides an affordable way to enhance Amazon EC2 and Sagemaker instances or Amazon ECS tasks with GPU-powered acceleration, potentially cutting deep learning inference costs by as much as 75%. It is compatible with models built on TensorFlow, Apache MXNet, PyTorch, and ONNX. The term "inference" refers to the act of generating predictions from a trained model. In the realm of deep learning, inference can represent up to 90% of the total operational expenses, primarily for two reasons. Firstly, GPU instances are generally optimized for model training rather than inference, as training tasks can handle numerous data samples simultaneously, while inference typically involves processing one input at a time in real-time, resulting in minimal GPU usage. Consequently, relying solely on GPU instances for inference can lead to higher costs. Conversely, CPU instances lack the necessary specialization for matrix computations, making them inefficient and often too sluggish for deep learning inference tasks. This necessitates a solution like Elastic Inference, which optimally balances cost and performance in inference scenarios.

Embiot®, a compact, high-performance IoT analytics software agent that can be used for smart sensor and IoT gateway applications, is available. This edge computing application can be integrated directly into devices, smart sensor and gateways but is powerful enough to calculate complex analytics using large amounts of raw data at high speeds. Embiot internally uses a stream processing model in order to process sensor data that arrives at different times and in different order. It is easy to use with its intuitive configuration language, rich in math, stats, and AI functions. This makes it quick and easy to solve any analytics problems. Embiot supports many input methods, including MODBUS and MQTT, REST/XML and REST/JSON. Name/Value, CSV, and REST/XML are all supported. Embiot can send output reports to multiple destinations simultaneously in REST, custom text and MQTT formats. Embiot supports TLS on select input streams, HTTP, and MQTT authentication for security.

Create advanced applications that streamline workflows, provide ongoing operational monitoring, and manage processes in real-time. Your solutions are designed to operate continuously on cloud servers as well as edge devices. Utilizing a familiar spreadsheet interface, you don't need to be a programmer; instead, you can simply drag and drop data, enter formulas into cells, and create charts in an intuitive manner. All the essential protocols required for connecting to sensors and machinery, such as MQTT, REST, and OPC UA, are readily available. Streamsheets specializes in processing streaming data, including formats like MQTT and Kafka. You can select a topic stream, modify it as needed, and send it back into the vast world of streaming data. With REST, you gain access to a multitude of web services, while Streamsheets enables seamless connections both ways. Not only do Streamsheets operate in the cloud and on your servers, but they can also be deployed on edge devices, including Raspberry Pi, expanding their versatility to various environments. This flexibility allows businesses to adapt their systems according to their specific operational needs.

Kosmos champions open hardware and data protocols, delivering exceptional flexibility without sacrificing user-friendliness. You maintain control over your data and devices, steering clear of proprietary solutions and vendor lock-in. There's no need for any coding or software expertise, as Kosmos automatically generates the necessary applications, fine-tuning device code to reduce power and memory usage effectively. Additionally, it provides proactive alerts about potential issues and sends automatic notifications when unusual sensor events arise. Effortlessly gather environmental data using connected sensors, all without the need for programming skills. This seamless integration allows users of all backgrounds to harness the power of technology with ease.

AWS IoT Greengrass effectively brings the capabilities of AWS to edge devices, enabling them to locally process the data they create while still leveraging the cloud for management, analysis, and reliable storage solutions. This platform allows connected devices to execute AWS Lambda functions, run Docker containers, or utilize both, enabling real-time predictions based on machine learning models, maintaining data synchronization, and ensuring secure communication among devices—even in the absence of an internet connection. With AWS IoT Greengrass, developers can utilize familiar programming languages and models to design and validate their device applications in the cloud before deploying them to the actual devices. Furthermore, this service can be configured to filter and manage device data, ensuring only essential information is sent back to AWS. Additionally, AWS IoT Greengrass offers seamless integration with third-party applications, local software solutions, and a range of AWS services through its Connectors, enhancing the overall functionality and versatility of edge computing. By incorporating these features, AWS IoT Greengrass empowers businesses to maximize the potential of their connected devices while maintaining operational efficiency.

Set up the IoT simulator to transmit real-time messages that can either fall within a specific range or derive from a random assortment of values, taking into account both time and client factors. The system should replicate dynamic messages in two formats, TEXT and JSON, closely mimicking the functionality of actual IoT devices. It will facilitate the transmission of four distinct types of dynamic values, including system variables like timestamps and client identifiers, as well as random, range-based, linear, and constant values, allowing for diverse data publication in each sequence to effectively align with genuine device behavior. Users can configure IoT events by uploading a predefined dataset via a CSV file using the CSV Importer feature. Each command dispatched to the edge device or IoT endpoint will generate a response from the device upon completing the requested action. Additionally, users can create realistic scenarios with automatic responses through Behavior Simulation, an engine designed to reply to subscribers based on the messages and topics received. Once a simulation request is initiated, the virtual connected devices commence data publication to the endpoint, ensuring seamless interaction within the simulated environment. This comprehensive setup enhances the realism of IoT simulations, bridging the gap between theoretical modeling and practical application.

The OnSiteMonitor platform transforms your home computer into a tailored system for home security and automation. By utilizing OnSiteMonitor, your computer gains the capability to oversee cameras, manage climate settings, control lighting, check the status of doors and windows, track available storage on your device, send emails, play audio files, issue alerts, and even make phone calls, among other functionalities. This versatile system enables integration of products from various manufacturers, allowing them to work in harmony. Through the use of events, the platform can trigger commands to execute specific actions based on defined conditions. It's important to note that OnSiteMonitor operates exclusively when the software is actively running on your computer, which serves as the core of the entire system. This software is responsible for monitoring devices, sending commands, capturing images from cameras, and facilitating remote interaction with your devices via smartphone, tablet, or computer. Without the console application running, the OnSiteMonitor system is inactive for your user account, ensuring that your home remains secure only when you need it to be. Consequently, this means that users must ensure the application is operational to fully utilize its extensive range of features.

The Datacake platform enables you to implement various Industrial IoT applications, including condition monitoring, data logging, real-time dashboards, and comprehensive data analytics. You can easily connect devices and gateways using LoRaWAN or NB-IoT protocols. With options like MQTT and other interfaces, the platform offers flexibility in integration. Utilizing the Datacake IoT platform along with Ready-to-Use LoRaWAN sensors, you can effectively monitor water levels in various settings, whether in flowing streams, stagnant ponds, or storage containers. Additionally, the platform features modern online mapping tools that allow you to visualize the real-time locations of your IoT assets, such as sensors and machines, on Interactive Maps. You can also track the historical routes traversed by these devices, providing valuable insights directly on the map. Furthermore, you have the capability to upload images and position sensors within detailed floor plans, hall layouts, or other relevant diagrams. This functionality allows you to present on-site conditions to your customers in an intuitive manner. Data can be sent to your devices on Datacake using webhooks, and there are also payload decoders available for handling HTTP requests. By leveraging these features, businesses can enhance their operational efficiency and improve decision-making processes.

balenaEngine is a specialized container engine designed specifically for embedded systems and IoT applications, utilizing technology from the Moby Project by Docker. It is significantly smaller than Docker CE, boasting a size reduction of 3.5 times and is distributed as a single binary. This engine is compatible with a diverse range of chipset architectures, catering to everything from small IoT devices to larger industrial gateways. It offers bandwidth-efficient updates using binary diffs that can be 10 to 70 times smaller compared to the traditional method of pulling layers in various scenarios. To mitigate excessive disk writing and safeguard against potential storage corruption, it extracts layers as they are received. Additionally, its atomic and durable image pulls ensure protection against incomplete container downloads in case of power interruptions. The design also minimizes page cache thrashing during image pulls, allowing applications to run smoothly even in low-memory environments. In summary, balenaEngine is an innovative solution that not only supports Docker containers but also enhances bandwidth efficiency for container updates. This makes it an ideal choice for developers seeking reliability and efficiency in IoT and embedded systems.

Thingplus oversees a range of IoT devices that encompass various infrastructures and systems, including solar energy facilities and motor systems utilized in manufacturing, alongside straightforward environmental sensors. These devices maintain connectivity to the Internet via diverse communication methods, allowing for real-time management and oversight. An authentic end-to-end IoT platform serves as a comprehensive software framework that facilitates device connectivity, data collection, analysis, visualization, real-time alerts, and remote control through a rules engine, while also enabling integration with external cloud services. This platform transforms critical business data from physical formats to digital insights, thereby fostering digital transformation and enhancing data integration services. By harnessing meaningful data from your operations, effective management of your business becomes achievable. Moreover, it enables the consolidated oversight of vital facilities and equipment, ensuring that data monitoring and real-time control are seamlessly integrated into the management services. Ultimately, this holistic approach enhances operational efficiency and decision-making processes.

Data Collection Core is a software solution from Iotsmart that facilitates the real-time gathering of data from OPC Servers and various devices, processes it, and allows for output to multiple storage solutions simultaneously, consolidating information from all connected devices in one centralized location. You can operate the DCC in the cloud or on-premises, utilizing platforms like Azure IoT Edge, AWS IoT Edge, or virtual machines with a containerized setup. This ensures you receive accurate data directly from your sensors while connecting seamlessly with OPC UA and HTTPS outputs, allowing for the integration of numerous devices with performance that surpasses standard client solutions. The system also supports server redundancy for OPC UA and MQTT, ensuring reliability and continuity. Our team of IoT specialists is available for support, providing troubleshooting assistance and tailored customer service to enhance your experience. With our focus on managing your digital solutions, you can concentrate on running your business effectively. The entire system is packaged using Docker images, making it easy to deploy across various cloud platforms, including Azure and AWS, ensuring flexibility and scalability for your operations.

An MQTT Broker designed with enthusiasm to meet all your requirements for deploying and scaling IoT applications. It features a REST API, a comprehensive dashboard with customizable widgets, and an extensive data storage solution, among other capabilities. Users can quickly visualize a snapshot of their IoT devices, monitoring client connections and disconnections, as well as critical data through various dashboard widgets. The system also provides alerts and color-coded indicators based on different value triggers. A robust rules engine is included to convert MQTT messages, facilitating streamlined M2M communication automation. This engine supports event and timer-based rules, enabling users to define data patterns and automate corresponding actions. For secure device communication, a publish and subscribe messaging model is implemented with dual layers of security, employing SSL/TLS for connectivity and optional username/password authentication. Additionally, web security measures are in place for data viewing. To ensure high availability, the broker can operate multiple message brokers simultaneously, guaranteeing efficient message collection and publication from devices. This architecture assures a remarkable 99.99% success rate in data collection, ensuring reliability regardless of software challenges. Moreover, the system's flexibility allows for seamless integration with various IoT applications and services.

Utilize a single platform to ensure that your asset, operational, and business data can seamlessly interact. We enable organizations across diverse sectors to simplify processes, eliminate obstacles, and enhance the speed of value realization through integrated solutions that effectively merge Physical (IoT/IIoT/OT) and Application (IT) data. With our platform, you can securely handle the ingestion of OT, IoT, IIoT, and business application data from a variety of disconnected systems, protocols, networks, and formats. Moreover, you can enrich contextual information, manage metadata, conduct transformations, and employ data mapping to work with standardized data models and schemas. This integration allows for the flow of data to various endpoints, supporting application and process logic, storage, data analysis, and both physical and digital automation efforts. Reekoh Accelerate™ stands out as a hybrid integration platform that treats data from both physical and digital assets with utmost importance. It equips users with a robust and flexible toolset for managing devices and data, as well as streamlining business workflows and automation processes to drive efficiency. By leveraging these capabilities, organizations can unlock the full potential of their data assets.

Devices, objects, and vehicles from various manufacturers can be enhanced with smart capabilities through the use of sensor technologies. This advancement enables users to receive immediate insights from the data collected, allowing for maintenance only when absolutely necessary. In addition to quicker device recovery, the insights gained can help streamline processes, decrease expenses, and enhance energy efficiency. By employing both outdoor and indoor tracking methods, one can accurately identify the locations of individuals or items through sensors and various wireless technologies such as cellular networks, Wi-Fi, ultra-wideband, or Bluetooth. The range of applications is wide, including security enhancements in office environments and elevating customer experiences in retail settings. The advantages of these technologies encompass better utilization of workspaces, quicker responses during emergencies, and improved management of work processes. The market for these innovations is expanding, though the associated complexities are often overstated. Furthermore, smart facility management represents a contemporary strategy aimed at optimizing the organization and functionality of buildings, ultimately leading to increased efficiency and effectiveness in operations.

Ayla adopts a genuinely agnostic strategy, facilitating device connectivity through various widely-used transport protocols, connectivity methods, and cloud infrastructure solutions. Compatible with standards such as HTTPS, MQTT, and CoAP, Ayla offers a comprehensive selection of pre-configured agents designed for embedded systems, gateways, Android, Linux, BLE/phones, and cloud connectivity. The company’s Virtualization Engine creates a powerful 'digital twin' of each physical device, establishing a strong groundwork for managing devices at a large scale within the IoT ecosystem. With proven functionalities like a rules engine, firmware Over-The-Air (OTA) updates, and data policies, Ayla's Device Management system ensures thorough support for connected products throughout their entire lifecycle. Additionally, Ayla's application enablement capabilities allow businesses to derive significant value from their data in numerous ways. By providing both a Web Framework and a Mobile Platform SDK, Ayla accelerates the development of consumer and business applications. Furthermore, they offer services such as Customer Care, Field Service, and Asset Tracking, enhancing the overall user experience and operational efficiency.

Oracle’s IoT Intelligent Applications Cloud offers enhanced visibility, insights, and operational efficiencies by harnessing sensor data from interconnected devices, focusing on smart manufacturing, connected assets, logistics, workplace safety, and the customer experience. By leveraging IoT applications, businesses can boost revenue through improved efficiency, heightened supply chain transparency, and the introduction of innovative business models. Additionally, real-time sensor data facilitates the prevention of downtime by enabling proactive maintenance of machinery, vehicles, and various assets. Cost reduction is achievable by monitoring vehicle routes and tracking products during transit, ensuring optimal resource management. Furthermore, this platform helps maintain regulatory compliance and swiftly identifies causes of incidents through real-time insights into workplace conditions, ultimately fostering a safer work environment. Adopting these advanced IoT solutions can significantly transform operational strategies and drive sustainable growth.

The infrastructure is fully equipped with capabilities built as microservices, which are containerized using Docker and managed through Kubernetes. It offers support for multiple protocols and remains hardware agnostic, allowing seamless connections between any device and various third-party applications. Secure connections are ensured through TLS and DTLS, alongside mutual TLS authentication that utilizes X.509 certificates. The Mainflux software stack encompasses all essential components and microservices needed for developing IoT solutions, projects, or products. This IoT platform is designed to enhance interoperability with existing enterprise applications and other IoT platforms. Furthermore, it supports bidirectional communication with a vast number of devices and gateways, employing diverse open protocols and data formats. The system normalizes messages to simplify integration with the overall infrastructure, promoting efficiency and ease of use. Ultimately, this comprehensive approach fosters a robust environment for innovative IoT applications.

Bring all your devices together in one cloud solution, allowing you to modify their services and manage them with ease at any time and from any location. After logging into your Lhings account, you will be greeted by a personalized dashboard that provides everything you need to oversee and visualize your devices, whether individually or in groups. Devices remain active as long as they maintain a connection to both the Internet and Lhings, ensuring they are securely reachable and ready to engage directly through the dynamic control panel on your dashboard. You can facilitate communication between your devices, automate their functions, and build the necessary services to suit your needs. Simply link the occurrence of specific events to the execution of actions, whether they are virtual or physical, involving Devices or Apps. Customize your own rules and experience the convenience it brings! Additionally, the platform empowers you to enhance your smart home experience by integrating various devices seamlessly.

Friendly's One IoT Device Management allows for the remote oversight of various IoT devices, including those with intricate data models and limited capability, utilizing standard protocols like LwM2M, OMA-DM, MQTT, CoAP, TR-369 USP TR-069, among others. This solution facilitates automated initialization and remote administration of IoT devices, featuring an Admin Portal, a Technician Portal, a Quality of Experience (QoE) Dashboard, Business Intelligence (BI), and Big Data Analytics, along with a comprehensive API for tailoring vertical applications. Additionally, Friendly offers an App generator module that simplifies the creation and updating of custom applications without the need for programming skills. Moreover, Friendly's One-IoT™ Device Management can be deployed through private cloud, public cloud, or directly on the customer's site, providing flexibility to suit various operational needs. This adaptability ensures that users can effectively manage their IoT ecosystem in a way that aligns best with their infrastructure requirements.

ThingPark Wireless stands out as the premier and most comprehensive multi-technology LPWA IoT Network platform available today. Currently supporting more than half of the global LoRaWAN network implementations, it serves as the backbone of your IoT infrastructure, facilitating secure communication and data management from sensors all the way to cloud-based applications. Its modular design allows for seamless scalability, empowering Service Providers to effectively monetize their connectivity solutions while promoting the swift integration of IoT technologies across various sectors. With a horizontally scalable core network architecture, it can handle an impressive throughput of 150,000 packets per second, which translates to the capacity for up to 1.2 billion devices and 10 million gateways per cluster. Additionally, it provides a comprehensive suite of back-office tools designed for the efficient onboarding and management of devices, gateways, and applications. With robust multi-layer security measures in place, it ensures the safe transmission of sensor data to application servers. Furthermore, its superior MAC efficiency is engineered to enhance network capacity while extending battery life, making it an optimal choice for IoT deployments. Overall, ThingPark Wireless not only meets the demands of today's IoT landscape but also paves the way for future advancements in connectivity and technology integration.

Sensor.live is compatible with various open-source boards, allowing users to follow straightforward steps to manage their devices seamlessly in the cloud. You can create personalized IoT rules and control your devices using the mobile app from anywhere at any time! As your collection of smart devices expands, having an efficient manager like Sensor.live becomes essential. This platform can analyze data, enable remote device control, and facilitate over-the-air updates, while also providing visibility into each execution step's progress. Let Sensor.live take charge of monitoring all your devices effortlessly. By sending a single email, you can assign roles to team members, promoting focused responsibilities and fostering creativity. Additionally, you can encourage your colleagues to meet deadlines for their tasks, making it easier to juggle multiple projects without chaos. With its organized approach, Sensor.live transforms device management into a streamlined experience.

PwC's IoT-powered Connected Solutions transform everyday items integral to your operations into intelligent entities that communicate their status, location, and identity with one another. This innovation allows for the utilization of real-time data to guide business decisions, streamline costs, enhance operational efficiency, foster trust, and improve experiences for both customers and employees alike. With PwC’s patent-pending Indoor Geolocation Platform, you can access precise location data without the need for beacons whenever it matters most. This capability ensures you always have visibility of machinery and inventory, minimizing the risk of loss, theft, or misplacement. Additionally, it enables you to quickly locate employees who need assistance through rapid response buttons. By monitoring all aspects of your business, from the significant to the trivial, you can reduce waste and avoid unexpected challenges. Leveraging an affordable network and sensors that gather data, along with analytics-driven dashboards, empowers you to respond proactively when issues arise, ultimately leading to optimized operations and improved performance. Embracing these solutions means your organization can thrive in a data-driven landscape.

Utilize a comprehensive, AI-integrated solution to access, organize, select, and transform data from the Internet of Things. SAS Analytics for IoT encompasses the entire analytics life cycle related to IoT, featuring a streamlined and extensible ETL process, a data model focused on sensors, and an advanced analytics framework supported by a premier streaming execution engine that facilitates complex multi-phase analytics. Powered by SAS® Viya®, this solution operates efficiently within a fast, in-memory distributed setting. Discover how to create SAS Event Stream Processing applications capable of handling high-volume and high-velocity data streams, delivering real-time responses while retaining only the essential data elements. This course introduces fundamental principles of event stream processing, detailing the various component objects that can be utilized to construct effective event stream processing applications. Our commitment to curiosity drives innovation, as SAS analytics solutions convert raw data into actionable insights, empowering customers globally to embark on bold new ventures that foster advancement. Embrace the future of data analytics and unlock limitless possibilities with SAS.

Managing properties and assets has historically been a challenging, high-risk endeavor that often involves cumbersome procedures. By leveraging existing cameras, sensors, and devices, we are able to extract valuable analytics that enhance business operations. Our advanced AI technology processes this information to pinpoint activities related to safety, health, and compliance, enabling the execution of automated tasks. We have crafted a comprehensive suite of solutions powered by KEN AI™ specifically aimed at improving health, safety, and emergency services. These applications are designed to be compatible with IoT and 5G technologies, featuring open APIs for seamless integration. The use of AI Analytics spans various domains, including traffic management, crowd control, airport operations, and emergency response services. Our video technology, enhanced by AI, is specifically designed to safeguard your most valuable assets—your workforce. KEN AI actively identifies and mitigates safety risks in real-time during operations. Furthermore, our APIs are equipped to detect irregularities both in the incidents recorded and within the IoT sensors themselves, ensuring a comprehensive approach to safety management. By integrating these innovative solutions, we aim to revolutionize the asset management landscape.

The Losant Enterprise IoT Platform serves as a powerful application enablement tool, empowering businesses to create IoT products, services, and applications that can securely scale to accommodate millions of devices. We support IoT solution development for a diverse range of Fortune 500 clients across various sectors, including telecommunications, manufacturing, and industrial IoT. Our platform is equipped to handle multiple use cases, such as asset tracking, monitoring industrial equipment, creating smart environments, and facilitating contact tracing. Every component of Losant, from Edge Compute to End-User Experiences, integrates seamlessly to convert data into customized IoT solutions. Utilize Losant’s edge computing capabilities to deploy logic directly onto edge devices, which helps minimize dependency on constant connectivity and allows for pre-filtering of data before it reaches the cloud. Enhance organization of data and devices through Losant’s advanced tagging and device modeling features. Ensure robust security measures are in place with TLS encryption and fully revocable access keys assigned to each device, thereby reinforcing the integrity of the entire IoT ecosystem. By leveraging these tools, enterprises can significantly enhance their operational efficiency and adaptability in an increasingly connected world.

Monitor and control your buildings with an IoT platform that integrates with existing systems. KMC Commander sends the data from your building to the cloud. You can then track, trend and trigger your devices and systems securely from anywhere. With our growing number and partners, you are able to contextualize your data and better understand your building from NOI, to operations and maintenance. Installing KMC Commander in your buy, hold, and sell strategy will harmonize the profile by running it in one language. KMC Commander, using your existing building management system, can display your entire portfolio on a single dashboard. Standardize your deployment strategy and monitoring strategy. Manage multiple locations for system efficiency and cost reductions while maintaining the same tenant experience.

A comprehensive platform designed for the detection and prevention of health risks is essential. The ability to access real-time data is vital to control the distribution of illnesses effectively. By utilizing IoT devices, machine learning, and advanced data analytics, we can enhance health and safety monitoring. In densely populated areas—ranging from corporate offices to amusement parks—public health oversight has emerged as a critical concern worldwide. Implementing a strong disease prevention strategy is key to fostering a safer environment for individuals while maintaining business operations. Insight's Connected Platform for Detection and Prevention offers a versatile and expandable solution aimed at promoting smarter and safer conditions in public environments. This platform consolidates sensor information into a single dashboard, delivering immediate visibility into health metrics. By harnessing the power of machine learning, the tailored application can issue alerts and recommendations for social interactions that meet your organization's specific needs, ultimately contributing to a healthier society. Additionally, the integration of data-driven insights empowers organizations to proactively address potential health threats.

Nubix is an innovative container platform designed to simplify the development and deployment of Internet of Things (IoT) and edge applications. It is capable of operating on the smallest microprocessors, allowing developers to seamlessly process data directly on the sensor devices that generate it. Unlike traditional methods that necessitate complete firmware replacements—which can sometimes lead to devices becoming inoperable—Nubix mitigates this risk by utilizing tiny containers whose code operates independently from the underlying operating system, thereby enhancing release speed and reducing potential failures. Many existing edge architectures fail to provide true edge computing, compelling developers to send data to the cloud or intermediate gateways for processing. In contrast, Nubix's edge-native architecture empowers processing to occur directly on the devices where data originates, thus eliminating the latency and inefficiencies associated with external networking and remote data handling. Moreover, Nubix is founded on open source technologies, ensuring that users are not confined to proprietary languages and libraries, which enhances flexibility and long-term viability. This commitment to openness also fosters a community-driven approach to innovation, making it a compelling choice for developers seeking to advance their IoT initiatives.

A managed service facilitates two-way communication between IoT devices and Azure, ensuring secure and dependable interaction between your IoT application and its managed devices. With Azure IoT Hub, you have access to a cloud-based backend that can connect almost any device seamlessly. Moreover, you can enhance your solution from the cloud to edge devices through features like per-device authentication, integrated device management, and scalable provisioning options. By utilizing telemetry data from devices to the cloud, you can gain insights into device status and establish message pathways to other Azure services effortlessly, without the need for coding. For cloud-to-device messages, you can reliably send commands and alerts to your connected devices while monitoring message delivery via acknowledgment receipts. The system also allows for automatic resending of messages to address any connectivity issues that may arise. Azure IoT Central goes beyond just proof of concept; it empowers you to create top-tier solutions using a comprehensive hosted IoT application platform, thus fostering innovation in your projects. This combination of features positions Azure as a leading choice for IoT communication solutions.

Simple and flexible IoT platform and GPS tracking. Basic functionality is available for free. Vialatm is a simple-to-use web service that offers key features such as a platform for GPS tracking and IOT, a wide range of vehicle/personal trackers, and mobile applications; access via Web, Android and IOS apps with the possibility to receive push events notifications; reports, graphs, and graphs to monitor the operation of objects; an interface for defining event notifications; the ability to organize objects into groups; create your users and assign roles for them; creating links to external observers (for an object) and access via the REST API to enhance capabilities and integration of other systems; interface in 12 languages; it is possible to quickly add another language

The hybrid edgeCloud platform allows various smart devices, ranging from smartphones to IoT gadgets, to function as cloud servers when necessary. The edgeEngine serves as a downloadable software that empowers these devices to operate as cloud servers under suitable conditions. This versatile engine is compatible with any smart device, regardless of its operating system or network, and integrates seamlessly with any cloud infrastructure. In contrast to traditional backend development, which often demands significant time and financial resources for server maintenance and scaling, mimik offers a serverless environment tailored for edge microservices, ensuring optimal performance and efficiency. By utilizing the edgeEngine, users can enhance any smart device with basic computing capabilities—such as smartphones, PCs, set-top boxes, residential and IoT gateways, game consoles, smart TVs, drones, robots, infotainment systems in cars, and industrial sensors—with server functionality. Furthermore, developers have the flexibility to either create and deploy custom edge microservices or take advantage of mimik’s pre-built, field-proven microservices to introduce innovative solutions or modernize existing applications. This capability not only streamlines the development process but also significantly reduces the barriers to implementing cutting-edge technology.

Enhancing Cyber-Physical security through the integration of Sensor Fusion and Analytics is essential for maintaining oversight of critical infrastructure. Fortifyedge significantly bolsters the situational awareness of vital assets, encompassing both fixed and remote components, by monitoring perimeters, managing waste, and optimizing utility usage. By leveraging advanced sensor fusion and analytical techniques from various elements within your ecosystem, Fortifyedge enables a comprehensive understanding of your security landscape. Our IoT edge computing and cutting-edge tiny machine learning algorithms are adept at identifying anomalies, regardless of the location of your assets. Recognized as a USAF AFWERX SBIR Awardee and a proud alumnus of the USAF TechStars Accelerator, Fortifyedge has received multiple accolades for excellence in Cyber and Physical security tailored for defense and critical infrastructure, as well as for NIST Behavioral Authentication aimed at first responders. The Fortifyedge IoT Platform is designed to safeguard your critical infrastructure while enhancing the situational awareness of personnel during incidents. Furthermore, it facilitates the positive identification of individuals at entry control points, allowing for effective tracking of personnel within secure zones, ensuring a safer and more efficient operational environment.

The quickest method to incorporate smart home devices into your software application is by utilizing Yonomi's IoT integration platform. This platform seamlessly links smart home devices to various software applications used in property management, energy management, wellness, and insurance, including devices such as locks, lights, and thermostats. An effective IoT device management solution enhances your organization's capability to connect, control, and automate these devices with ease. Yonomi equips developers with essential tools to effortlessly integrate with numerous connected home products through a unified framework. This platform is compatible with an expanding array of global device brands across diverse categories. You can easily connect to devices like Schlage Encode along with various other smart locks, thermostats, lights, switches, leak sensors, and more, which allows developers to save valuable time and concentrate on enhancing core features. Additionally, Yonomi's API introduces an abstraction layer that simplifies the complexities of the fragmented and continuously evolving connected home ecosystem by employing standardized device types and traits, enabling smoother integration for developers. By leveraging this platform, you ensure that your smart home integration process is both efficient and scalable.

Our device management system simplifies and secures the provisioning and monitoring of Digital Matter devices. By activating advanced debugging logs, users can swiftly and effectively address any issues that arise. Device settings can be managed effortlessly over-the-air, enhancing operational efficiency. The platform allows for the creation and management of templates, making it easy to configure multiple devices in bulk during provisioning. Data can be transmitted to your server using either HTTPS or TCP, ensuring secure communication. The integrated debugging tools facilitate seamless integration processes. All data is transmitted over an AES-256 encrypted connection, guaranteeing both its integrity and authenticity. Following this, data can be forwarded via HTTPS to the target platform, providing complete end-to-end encryption. Multiple functionalities, including parameter adjustments and connector settings, can be executed through API calls, allowing third-party servers to handle device control and provisioning seamlessly. This comprehensive approach ensures that users have a robust and versatile solution at their fingertips.

Experience a robust infrastructure for deploying and managing devices, all hosted by balena. Simply create your image, power it on, and watch as your fully set-up device appears seamlessly in your application. For quicker startup times, preload your image with your application code. Develop at web speed using tools you're already accustomed to. You have the flexibility to build your application in any language and distribution that suits your needs. Work locally for rapid feedback and make updates with a single command, ensuring your devices stay online and operational. If you're utilizing a microservices architecture, we fully support multi-container applications. Enjoy comprehensive insights into your devices' real-time status and activities. You can efficiently organize your fleet using tags and filters, and remotely configure and troubleshoot each device as needed. This streamlined approach not only saves time but also enhances overall efficiency.

Azure IoT Edge is a comprehensive service that operates on the Azure IoT Hub platform. It allows you to deploy cloud-based workloads, artificial intelligence applications, Azure services, third-party tools, or custom business logic on Internet of Things (IoT) edge devices using standard container technology. By relocating specific workloads closer to the network edge, these devices can minimize their communication time with the cloud, respond more swiftly to changes in their local environment, and maintain functionality even during prolonged periods without internet access. You can implement models that have been developed and refined in the cloud directly on-site. For instance, when a predictive model is used on a factory camera for quality assurance and detects an anomaly, IoT Edge can initiate an alert, process the relevant data locally, or forward it to the cloud for more in-depth evaluation. Furthermore, your edge devices can be managed securely and effectively, ensuring reliable operation even in scenarios of limited or no connectivity. The device management feature of Azure IoT Edge automatically updates and synchronizes the current state of each device. This seamless integration fosters enhanced operational efficiency, enabling businesses to harness the full potential of their IoT solutions.

By 2025, the Internet of Things (IoT) is expected to encompass 41 billion devices that will generate over 76 zettabytes of data. Organizations are increasingly implementing IoT initiatives to enhance manufacturing efficiency and ensure employee safety. Various sectors, including utilities, agriculture, energy, and healthcare, are leveraging networks of interconnected sensors to gather a plethora of observable and actionable insights. However, to unlock the full potential of IoT initiatives, it is crucial for data to be processed swiftly enough to influence decisions within microseconds. Additionally, the costs associated with data processing and storage must remain low to allow organizations to achieve a favorable return on investment. A novel distributed computing technology called Kazuhm is designed to facilitate the processing of IoT data directly across networks, on the devices where it originates, enabling ultra-low latencies and reducing costs compared to traditional cloud or edge solutions. This innovative approach not only optimizes data handling but also empowers businesses to respond to real-time insights more effectively.

Seamlessly link multiple IoT devices to the cloud, oversee them through an intuitive interface, incorporate and evaluate data, and leverage open functionalities for innovative services. The issue of device fragmentation poses significant challenges, as diverse protocols and complex standards lead to prolonged interconnection times. Efficient management is hindered by the lack of unified access across different networks, resulting in unstable connections and isolated devices, while event processing remains rigid. With robust remote operation and maintenance (O&M) capabilities, personnel can effortlessly gather device fault logs, identify issues, restart hardware, or revert devices to their original settings, significantly lowering labor expenses associated with on-site maintenance. This not only enhances operational efficiency but also paves the way for smoother device interoperability in the future.

HULFT IoT serves as a robust managed file transfer middleware tailored for IoT devices, effectively safeguarding against data loss in essential scenarios like payment processing, security, and monitoring. While utilizing protocols like MQTT or HTTPS for IoT data gathering demands a learning curve for users, HULFT IoT simplifies the process by requiring only the installation of its software, thus enabling swift data collection. Additionally, with the integration of DataSpider Servista, our enterprise application integration (EAI) tool, users can seamlessly connect multiple applications to the data gathered by HULFT IoT without any coding, as the setup process is entirely based on drag-and-drop functionality. A machine tool manufacturer previously conducted on-site inspections and maintenance for their customers, during which each device generated operational log data. By analyzing this data, they were able to forecast maintenance needs effectively. To enhance their operational efficiency, the company sought to implement remote monitoring of devices and schedule maintenance personnel as needed. However, the challenge arose with each device producing approximately 10GB of log data daily, complicating their data management efforts further. To address this, they recognized the necessity of a streamlined solution that could handle such vast amounts of data efficiently.

Get everything required to energize your IoT solution, spanning from the device to the cloud. Designed for immediate deployment, our modules cater to your specific needs, whether in a factory setting or on the move. They come pre-certified and are integrated with management tools to facilitate development. Avoid the hassle of creating your own network stack, as Particle offers Wi-Fi connectivity and LTE cellular service across more than 150 countries through a robust carrier network. Regardless of your application, the Particle IoT Command Center equips you with all necessary features and integrations to manage and expand your devices effectively. Every communication sent via Particle is encrypted for maximum security, as plaintext is strictly prohibited. Our rigorous security protocols and secure infrastructure guarantee that both your devices and data stay protected. Each unit is assigned a unique private key, preventing unauthorized hardware from infiltrating your fleet. This layered approach to security ensures that your IoT ecosystem remains robust and trustworthy.

TagoIO is a comprehensive cloud software platform that empowers users to convert IoT sensor information into intelligent solutions while avoiding the intricacies of cloud management. It enables the connection and oversight of devices across over 500 communication protocols, such as LoRaWAN, NB-IoT, Wi-Fi, satellite, BLE, MQTT, and HTTP, by utilizing pre-configured connectors that standardize device data. The platform delivers scalable device management, secure data storage, real-time visualization, tailored analytics, automation features, alerts, and multi-tenant access control, allowing users to create dashboards, workflows, and logic all within a unified environment. TagoIO streamlines the process of developing and launching IoT applications through the use of templates, intuitive drag-and-drop interfaces, and robust APIs, while efficiently managing backend infrastructure to facilitate swift development and deployment. Additionally, it provides sophisticated analytics to convert raw data into meaningful insights and accommodates edge computing, mobile accessibility, white-labeling options, and the ability to integrate with external systems, further enhancing its versatility. Overall, TagoIO stands out as a powerful tool for businesses seeking to harness the potential of IoT technology effectively.