George's Ventures

 

Magenta Corporation Ltd

 

In 1999, soon after his retirement from the full-time academic career with The Open University, George raised investments in the City of London and founded Magenta Corporation Ltd in partnership with Dr Petr Skobelev from Samara, Russia. At the age of 67, George was the oldest entrepreneur in the field of advanced software technology.

 

Magenta experienced fast growth, with the number of software developers in Russia under Petr’s leadership reaching over hundred whilst keeping numbers of employees at headquarters in London to a minimum.

 

Magenta specialised in refining and translating into practice Professor Rzevski’s ideas on intelligent multi-agent software for the allocation of resources in problem areas of high complexity, where conventional optimisers could not be applied.

 

The company developed and delivered unique large-scale, real-time schedulers for

  • A fleet of large seagoing tankers transporting crude oil across the glob
  • 2000 taxis (minicabs) in London
  • One of the largest car rental company for its UK network
  • A fleet of trucks (lorries) operating in the UK

 

Magenta also developed unique solutions in the domains of

  • Semantic processing – a multi-agent system capable of reading and interpreting abstracts of scientific papers
  • Dynamic data mining – a multi-agent system capable of clustering frequently changing data
  • Management of design clashes – a multi-agent system capable of tracing design clashes that occur when a large number of designers cooperate on the design of an aircraft wing

 

Multi-Agent Technology Ltd

 

After 10 years, both George and Petr left Magenta and founded a new venture, Multi-Agent Technology Ltd, or MAT, which now operates in London, Helsinki and Samara and plans to expand into Singapore and China.

 

MAT products and services are based on a new and more powerful version of multi-agent technology. Some of the most prestigious projects recently completed are:

  • A Network of five Coperating Real-Time Adaptive Schedulers managing the delivery of crew and cargo to the International Space Station
  • Real-Time Adaptive Scheduler for managing Coca Cola supply chain in Germany
  • Real-Time Adaptive Scheduler for delivery of goods ordered online for the city of Moscow

 

 

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