Software | Consulting | Training

CMCL Innovations is a multi-award winning software developer and consultancy service provider for the science, engineering, and technology sectors. We have over a decade of experience in delivering highly innovative computer aided engineering (CAE) solutions to the automotive, non-road, marine, clean energy & chemical industries.

For over a decade, the expert technical team at CMCL Innovations has been offering committed software, technical support and training, as well as consultancy services to help alleviate the techno-economic challenges facing the aforementioned industries. This multi-industry know-how has been further fostered by leading and through active participation in collaborative advanced engineering projects in the area of computer aided engineering (CAE), information communications and technology (ICT), low carbon vehicles, powertrains, big data, carbon-abatement, chemical processes, virtual engineering, emissions reduction, and energy sustainability.

As a technology-intensive, export-driven company, we are proud to work with leading transportation OEMs, energy and chemical companies, engineering OEMs, governments, R&D organisations and the international academic community.

We are hiring
Tuesday, June 28, 2016

Thanks to new projects and customers, CMCL Innovations is expanding its vibrant and diverse team. Visit our careers page for a description of the multiple open positions at our Cambridge office and apply now!

Thursday, January 7, 2016

CMCL Innovations partners in the EC Horizon 2020 project, “NanoDome”, aimed at developing a robust model-based design and toolkit for the prediction of complex nanomaterial structures produced in a commercially-relevant generic Gas-Phase (GP) synthesis process. Read more here.

User paper: Soot particles in GDI engines
Wednesday, November 25, 2015

Tshingua University and the University of Cambridge have published a paper, “Modelling soot formation from wall films in a gasoline direct injection engine using a detailed population balance model”. The SRM Engine Suite was applied to simulate the evolution of the soot particle size distribution. See the full paper here.

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