Sigfox South Africa looks to bridge IoT and AI

Anthropic introduced the Model Hardware Standard (MHS) on 27 August 2026, a shared specification designed to let AI agents safely operate and interact with physical equipment. Developed initially in collaboration with HHMI Janelia Research Campus, it is being made available through a limited, application-only research preview to scientific research laboratories and advanced manufacturers.

“AI has changed the way we interact with the data coming out of environments, both from a historical reporting function as well as predicting potential future events,” says Gregory Rood, CEO of Sigfox South Africa. “This has been made possible by the ability to consume data and generate multiple different outcomes or reports at a rate not humanly possible a few years ago.

“Therefore the idea of creating a standardised platform that could potentially allow for plug-and-play devices to be integrated into an AI-enabled universe on the go has so many exciting opportunities for business in Africa that we, as the only true open-access IoT network, felt it extremely important to engage in this initiative and provide a blueprint at the outset of what we provide as an LPWAN network operator.”

Today, connecting a physical device is only one part of creating an intelligent IoT solution. Devices, sensors and machines frequently use different payload structures, interfaces, commands and data models. Applications therefore need to be specifically configured to understand what each device is, what information it generates and how that information should be interpreted.

MHS is designed to help standardise this interaction. Through an MHS-compatible driver, a device can describe itself in a structured format: what it can measure, what actions can be performed, what parameters can be adjusted and what operating or safety limitations need to be observed. AI agents can then discover the device and use that information without requiring an entirely bespoke software integration for every piece of hardware.

This presents a natural opportunity for the IoT ecosystem surrounding Sigfox 0G technology.

Sigfox is designed to connect large numbers of low-power devices and sensors and transport small amounts of device data efficiently from the physical environment into digital platforms. The global Sigfox 0G ecosystem currently connects more than 14 million devices across more than 70 countries.

By combining this connectivity layer with an emerging hardware standard such as MHS, the industry has an opportunity to make that device information considerably easier for AI systems to consume and act upon.

Rather than an AI application simply receiving an unfamiliar payload of bytes from a sensor, an MHS-enabled implementation could provide the context needed to understand what the device is, what it measures, what the incoming values represent and what capabilities are available.

AI agents such as Claude could then use that structured information as part of a wider AI workflow, analysing device data, identifying anomalies, interpreting conditions or coordinating actions across connected systems.

MHS itself is model-agnostic.