Sigfox South Africa is considering combining Internet of Things (IoT) and Artificial Intelligence (AI) technologies using a new standard. This standard, Model Hardware Standard (MHS), was introduced by Anthropic on August 27, 2026. MHS is a general specification designed to ensure the secure operation and interaction of AI agents with physical hardware.
Initially developed in collaboration with HHMI Janelia Research Campus, MHS is currently available as a limited preview for research laboratories and advanced manufacturers.
Sigfox South Africa Leadership Comments
Gregory Rudd, CEO of Sigfox South Africa, noted that artificial intelligence has changed the approach to handling data coming from various environments. He emphasized that AI allows not only historical reporting but also forecasting future events, which is made possible by the ability to consume data and generate numerous results at an unprecedented speed.
In the company's view, creating a standardized platform that allows 'turnkey' connection of devices into an AI-managed ecosystem opens up huge business opportunities in Africa. As the sole open-access IoT network operator, Sigfox South Africa considers it its duty to participate in this initiative and provide an action plan for its LPWAN network.
Significance for the IoT Ecosystem
Connecting a physical device is only one part of creating an intelligent IoT solution. Devices, sensors, and machines often use different payload structures, interfaces, commands, and data models. Consequently, applications must be specifically configured to understand the characteristics of each device and interpret the information it generates.
The MHS standard aims to help standardize this interaction. With an MHS-compatible driver, a device can describe itself in a structured way: what parameters it measures, what actions it can perform, what settings can be changed, and what operational or safety limitations must be observed. AI agents can discover such a device and use this information without needing to create custom software for every hardware component.
Giving AI a Clearer Picture of the Physical World
This creates a natural opportunity for the IoT ecosystem surrounding Sigfox 0G technology. Sigfox is designed to connect a large number of low-power devices and sensors, efficiently transmitting small amounts of data from the physical environment to digital platforms. The global Sigfox 0G ecosystem currently connects over 14 million devices in more than 70 countries.
By combining this level of connectivity with a new hardware standard like MHS, the industry gains a chance to significantly simplify the process of data consumption and utilization from devices for AI systems. Instead of an AI application receiving an unknown byte packet from a sensor, an MHS-supported implementation could provide the necessary context to understand what the device is, what it measures, what the incoming values mean, and what capabilities are available.
AI agents, such as Claude, could utilize this structured information within a broader AI workflow, analyzing device data, identifying anomalies, interpreting conditions, or coordinating actions between connected systems. The MHS standard itself is model-agnostic; Anthropic states that the standard is designed to work with various AI agents and can be accessed through mechanisms such as the Model Context Protocol, command-line interfaces, and APIs.
From Connected Devices to AI-Understandable Devices
For electrical engineers and IoT device manufacturers, this could be a significant shift in the approach to designing future hardware. Engineering teams have traditionally focused on issues such as connectivity, radio performance, battery life, sensing capabilities, and device certification. The emergence of standards like MHS introduces another aspect: how easily an AI agent can understand and interact with the device?
As the standard develops, manufacturers may increasingly choose to make their hardware MHS-compatible right from the design stage, allowing devices to describe their functionality to AI systems via a unified interface. For Sigfox device manufacturers, this could create a powerful combination: Sigfox's low-power, long-range connectivity combined with an AI-understandable hardware interface. The result is a potential transition from simply connecting the physical world to making the physical world understandable to AI.
Sigfox South Africa's Participation in the Discussion
Sigfox South Africa has applied to participate in the MHS preview, showing particular interest in how this standard can be applied in a large-scale IoT ecosystem. The focus is not on replacing existing Sigfox device standards, certification processes, or payload structures. Instead, MHS can serve as an additional layer of abstraction through which AI agents can understand the devices, data, and capabilities already connected via the Sigfox ecosystem.
This distinction is significant. A Sigfox device will not automatically be supported by AI just because it uses the Sigfox network. Instead, an MHS-compatible interface or driver can provide machine-readable context that allows an AI agent, such as Claude, to understand the device and interact with its information consistently. This opens interesting prospects in sectors such as utilities, asset tracking, logistics, agriculture, environmental monitoring, security, and industrial operations.
For example, a water meter could potentially reveal not only the reading but also the fact that it is a water meter, the unit of measurement, its operating parameters, and relevant device information. An AI agent can use this contextual information along with historical data and business rules to assist in identifying anomalous consumption, potential leaks, or other conditions requiring attention. Similarly, connected temperature sensors, trackers, and industrial measuring equipment can become easier to integrate into AI-driven workflows.
Creating an AI-Oriented Future for IoT
Anthropic reports that MHS is in the early stages of research, and partners are helping to test the specification, conduct security assessments, and develop best practices before the standard is released to the public. This means the technology is still evolving, but the direction is highly significant. As AI moves beyond analyzing information stored in databases and begins to interact more directly with physical systems, the ability of machines to describe themselves to AI in a consistent and secure manner becomes increasingly important.
For Sigfox South Africa, participation at this early stage is aimed at ensuring that the requirements and realities of large-scale, low-power IoT deployments are included in the discussion. The next evolution of IoT may not just be about connecting more objects, but about making those objects understandable to AI. By combining efficient Sigfox 0G connectivity, smart devices, and new AI hardware standards like MHS, the physical and digital worlds have the potential to become much more closely linked.
