Awarded contract

Published

Middlehaven Model Digitalisation

4 suppliers have saved this notice.

Looks like a fit? Save this tender and qualify it in Stotles

Value

50,000 GBP

Close date

2025-09-01

Description

Middlesbrough Council is seeking quotations to appoint a suitable consultant to create a 3D interactive 'walk through' of Steve Waller's Middlehaven model to allow users to experience an immersive virtual visit through the neighbourhood as was. The consultant will be required to bring to life the Middlehaven model utilising a range of digital visual and audio techniques to support the reimagining of the Old Town Hall (OTH) in Middlehaven. The Grade II asset is to be transformed into a high-quality office venue for the expanding Digital and Creative sector in Middlesbrough and the model will be used as a key engagement tool for the wider public. This invitation is to submit an inclusive fee to reflect the work required for delivering a high quality, immersive 'walk through' of the neighbourhood as was. The 3D digitalisation will create accessibility to the model and bring to life a period of the town's social and cultural history allowing users to take a digitally immersive walk back in time.

Never miss a tender again

Get alerts, AI summaries and tools to qualify faster

Explore similar pre-tenders, open or awarded contracts

Browse open tenders, recent contract awards and upcoming contract expiries that match similar CPV codes.

Tamworth Borough Council

30,000 GBP

Published 17 hours ago

Historic England

20,000 GBP

Published 17 hours ago

West Yorkshire Fire and Rescue Authority

750,000 GBP

Published 17 hours ago

London Borough of Barking and Dagenham

11,735,000 GBP

Published 17 hours ago

Department for Science Innovation and Technology

8,333,333.33 GBP

Published 2 days ago

UK Anti-Doping

468,000 GBP

Published 2 days ago

Department of Agriculture, Environment and Rural Affairs

800,000 GBP

Published 3 days ago

Sign up to the Stotles Tender Tracker for free

Find even more contracts with advanced search capability and AI powered relevance scoring.