MIA 2015

Here comes innovation


Predisonic UK Ltd.

AI-based real time predictive maintenance for mechanical systems


We help businesses to know failures of operating machines in advance via our cutting-edge technology. Our solution utilizes Internet of Things, Industrial internet, Big Data, M2M and telemetry systems to predict machine problems in advance and on real-time. Periodic maintenances cannot fully help to avoid machine problems since it is crucial to your business to not only track your machines, but to have access to immediate, secure information about your machine at early before the break or failure happen. Plant safety increase, cost reduction, equipment lifetime increase, optimization of spare parts handling can all be achieved via our system.

What prompted you to develop it?

Our co-founder Ali used to work for Airbus in Germany and dealt with Predictive maintenance for planes. Then he came up with the idea of establishing his own company since he thought this is a very cutting-edge technology which is gaining traction day by day. And he also thought it is a solution which is solving a real life problem with saving people's lives and contributing a lot to cash saving for railway operators, let alone its being a cure for flawless execution of services and increase travel quality for commuters. I am so happy to say that he has proven right!

Is it in production or use?

Yes, indeed. Swiss National Railways, GE and Turkish National railways are main customers and we have many others in other major verticals such as industrial manufacturing, ships and wind turbines.

Who inspires you?

Our inner voice. I do not know but something inside us is pushing us to be entrepreneur.

What do you hope to achieve in developing this innovation?

Prove ourselves that we can bring an idea into reality and form a global entity with utilizing it.We can create employment for 10000 people around the world with solving a real life problem as well as affecting the life of 1B people.


Contact Details


Date of Application

February 2018