News by Neil Tyler

10 September 2026

Natural-language AI agent running on Edge AI hardware Credit: 42T

Cambridge-based consultancy 42 Technology (42T) has developed a natural-language Edge AI agent that can help production engineers and technicians operate complex industrial equipment using everyday speech.

The company has demonstrated the technology in a working system, showing that advanced natural-language control can run entirely on local Edge AI hardware without relying on cloud-based services.

Industrial environments often require operators to navigate multiple software systems, interfaces and technical manuals to maintain equipment and resolve faults. 42T’s new AI agent aims to simplify these tasks by allowing users to issue commands, ask questions and receive guidance through spoken or typed language. The system combines natural-language understanding with real-time equipment control and awareness of machine status, enabling context-sensitive support during operation.

The AI agent can also access information from pre-configured sources, including operator manuals, technical documentation and troubleshooting guides, providing users with relevant assistance without disrupting their workflow.

Unlike many consumer-focused AI assistants, the platform processes and stores data entirely on local Edge hardware. According to 42T, this approach helps organisations retain control of sensitive operational data while allowing the system to continue functioning without an internet connection or cloud subscription.

The technology has been developed specifically for industrial settings and includes features such as foot-pedal activation and wireless headset support. It is designed to interpret spoken instructions even in noisy environments or when commands are incomplete. The system operates within defined safety limits and can be configured to require human approval before carrying out actions in safety-critical applications.

Potential applications range from laboratory automation, where hands-free operation can improve productivity, to manufacturing and industrial process control. The company says natural-language interfaces are particularly useful in environments where operational knowledge is dispersed across manuals, software tools and experienced personnel.

According to Mike Sales, Head of AI at 42 Technology, “Production engineers and technicians often need quick, reliable guidance while working on live equipment but the information they need is usually buried across multiple manuals or in complex, menu-driven interfaces. Using a natural-language AI agent as a user interface means they can easily get accurate, context-aware answers without interrupting their workflow. They can simply ask questions such as, ‘How do I calibrate channel three?’ or ‘Why won’t the pump start?’ to get the support they need.”

To demonstrate the concept, 42T has developed a prototype system that was showcased earlier this year at the CW International Conference in Cambridge. The demonstrator enables a signal generator to be controlled through spoken commands using a small language model running locally on a single-board computer. The device handles speech detection, speech-to-text processing and AI agent orchestration on the edge.

The company is also collaborating with a major industrial equipment manufacturer to integrate natural-language AI capabilities into selected products. According to 42T, the project is helping to identify best practices for deploying the technology across industrial systems that incorporate multiple sensors and interconnected subsystems.

Looking ahead, 42T believes natural-language AI agents could eventually evolve beyond controlling individual machines. Future systems may act as a form of “digital foreman”, overseeing multiple production assets, identifying priority issues and directing operator attention where it is most needed. Such an approach could reduce reliance on multiple monitoring screens and indicators while improving operational efficiency and lowering manufacturing costs.

http://www.42t.com