LAVA
LAVA (Laboratory for Visionary Architecture) was founded in 2007 by directors, Chris Bosse, Tobias Wallisser and Alexander Rieck and is based in Germany and Australia.
LAVA merges future technologies with the patterns of organisation found in nature to build a smarter, friendlier, more social...See more
* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0. Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
Frequently Asked Questions (FAQ)
How long has LAVA (LABORATORY FOR VISIONARY ARCHITECTURE) been operating for?
What is the funding status of LAVA (LABORATORY FOR VISIONARY ARCHITECTURE)?
What is the address of LAVA (LABORATORY FOR VISIONARY ARCHITECTURE)?
Where is LAVA (LABORATORY FOR VISIONARY ARCHITECTURE)'s headquarter?
What is LAVA (LABORATORY FOR VISIONARY ARCHITECTURE)'s contact number?
What LAVA (LABORATORY FOR VISIONARY ARCHITECTURE)'s spending power?
Does LAVA (LABORATORY FOR VISIONARY ARCHITECTURE) have a presence in the domain it operates in?
* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0.
Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
Add filters
