Simplexity Analysis was started in 2014 by Chris Evett and Tom Pearson.  Chris has a background in intelligence analysis and programme management.  Tom has a background in design and industrial systems.  

In 2015, we were joined by our colleagues Jonathan Selhi and Ross Marwood.  Jonathan Selhi has a background in technical analysis and project management.  Ross Marwood, (through his own company, Columnsoft Ltd) is a software engineer and technical architect.

Together we have worked on a large range of projects over the years for a range of clients from Tech Start ups to Government departments. Our core specialism is supporting the development of new and novel ideas that can influence how decisions are made.  We work with low ‘technology readiness’ ideas to develop experiments and proof of concepts.  We aid the scoping, funding and delivery of these projects, from inception through to deployment.

In this AI rich world, our aim is to retain the uniqueness and strength of human-led of analysis, while getting the best of next generation technologies.

Jonathan Selhi

Jonathan has a background in operational research working with cross-disciplinary teams to bring to life creative solutions in academia, government and industry. He has worked in the autonomous vehicles, defence & security, machine learning, simulation and space sectors. Jonathan was recently Head of Research at the Global MapAid humanitarian NGO. He also has interests in food security and organic gardening

Chris Evett

Chris has worked on a range of strategic analysis projects over his career, both as a government analyst and through Simplexity Analysis.  Chris has a background in open source intelligence analysis and generally finds ways of understanding and applying new technologies and techniques to improve how we cope with future risks and challenges.  He is passionate about analysis, writing and really enjoys interesting and challenging projects that generally help ‘us’ - humans and the wider planet etc…He writes here

Tom Pearson

Tom Pearson is Digital Interaction specialist who has worked for a range of studios and corporate clients that include Pizza Express, Kinesensor, MonitorMe and IKEA and has run a number of platform design - experiments for a range of stakeholders including the Policy Lab and GO Science and the UN. Tom's research provides a framework for an ongoing research investigation into algorithms, democracy and the politics of technology and he has exhibited internationally including at The Barbican, London. The Venice Beinnale and Iwasaki Bio Art Lab, Tokyo. He holds an MA in Design Interactions from the Royal College of Art.