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We minimise unplanned downtime and service call-outs in industrial refrigeration systems through data-driven early diagnosis.

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We identify at an early stage when your equipment needs servicing.

Referee AI monitors industrial refrigeration systems, detects gradual deviations before they turn into faults, and identifies the probable cause in plain language.

The AI comes to the system; the data does not go to the AI. Most monitoring and predictive maintenance solutions send operational data to the cloud. Referee AI takes the opposite approach: a hardware module in the control cabinet analyses the data right where it is generated, without any need for an internet connection.

The pilot phase is currently underway. The first modules have been installed on real-world systems and are learning their normal behaviour; early warning and diagnostic functions are being tested and expanded step by step. Regular operation at the first customer sites is planned for 2027. To this end, we are seeking pilot partners to work with us in bringing predictive maintenance to market readiness.

WHY REFEREE AI

Six reasons why your refrigeration system runs more efficiently with our local AI.

MORE FACILITIES, FEWER TECHNICIANS – REFEREE BRIDGES THE GAP

Referee AI monitors your systems round the clock. Your technicians are alerted only when necessary, rather than wasting time on routine checks.

DEVELOPED FROM REFRIGERATION TECHNOLOGY

The team comprises specialists in plant engineering, refrigeration technology and AI, with over 20 years’ experience in the refrigeration industry and 15 years’ experience in predictive maintenance.

QUICKLY UPGRADED

The hardware module is connected directly to the existing control system without the need to replace any existing equipment. In compatible systems, it can be installed in a matter of hours.

YOUR DATA STAYS ON-SITE

The AI analyses all the data locally within a closed system. Without the cloud and without an internet connection, there is no external access.

HARDWARE AND SOFTWARE FROM A SINGLE SOURCE

We develop the module, AI models and user interface ourselves. From installation through to after-sales support, you’ll have a single point of contact who is familiar with the entire system.

AS INDEPENDENT AS POSSIBLE

Referee AI does not rely on data centres or external cloud providers. The system operates independently on-premises, and you retain control over your data.

On-premises AI or cloud-based AI: what’s the difference?

On-premises AI or cloud-based AI: what’s the difference?

The difference lies in where the AI runs and where the data has to travel for it.

Cloud AI: Operational data is sent over the internet to an external data centre, analysed there, and the result is sent back. This allows for very large models, but it requires an internet connection, and the data leaves the company.

Local AI (Referee AI): The model runs on a device directly on site – in the case of Referee AI, on the hardware module in the control cabinet. The data stays within the company network, the analysis works without the internet and does not depend on any external service.

We don’t need cloud computing – Why we use local AI

  • Protection against remote attacks
    No internet = No hacker attacks
    AI-powered cyberattacks on critical infrastructure are increasing rapidly – our system is not vulnerable to them.
  • No dependence on OpenAI, Google and the like
    Our AI runs independently on your hardware – with no licence fees, price increases or sudden service interruptions from third-party providers
  • 100 per cent data sovereignty
    AI is ideal for data processing – but what happens to your data in the cloud?
    That’s not an issue for us. Our system operates 100 per cent within your infrastructure. You retain full control over your data.
  • No data will be passed on to third parties
    Local AI = No training of competitors using your data
    Your operational data never leaves your organisation.