Venari Group and Ford launch game-changing ambulance

Sub-3.5 tonne weight means NHS Ambulance Trust and paramedics can drive the ambulance on a standard UK driving licence

Venari Group has formed the ‘Ford Venari Alliance’, which has launched the all-new, game-changing dual-crewed lightweight ambulance, based on a Ford Transit chassis-cab. It makes its global debut at the Emergency Services Show in Birmingham.

‘Project Siren’ is a new ambulance platform cleverly packaged to retain a weight limit under 3.5 tonnes, enabling National Health Service Ambulance Trust drivers and paramedics to drive the vehicle on a standard UK driving licence.

“This project has grown from design to a finished vehicle in 12 months”, said Paul Baynes, marketing and sales manager, Special Vehicle Solutions, Ford of Europe.

“Ford has a long history in building ambulances and as we enter our most exciting stage in the history of Ford vehicle conversions, this is a project we’re immensely proud of. This vehicle sets out to make life easier for those busy saving other’s lives.”

Integral to Ford Pro, Ford’s new business for distribution and services, the Ford Venari Alliance marks the start of plans to grow and develop opportunities with key conversions partnerships, ensuring customers from every vocation have access to specialised vehicles.

“Project Siren has been the most immersive and intense project that I’ve been involved in, in over 15 years in the emergency vehicle market, said Oliver North, CEO, Venari Group.

“To achieve our weight, functionality and digitised functionality targets required newly-formed engineering departments to be at their most creative every day.

“The result from the Ford Venari Alliance is nothing short of phenomenal – the first genuine, no-compromise 3.5 tonne ambulance on the global market which has raised the bar in every aspect of operational performance.”

 

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.