Archistar (Artificial Intelligence)

From Wikitia
Jump to navigation Jump to search
Archistar (Artificial Intelligence)
  • Artificial Intelligence
  • Property Development
FoundedApril 2010; 13 years ago (2010-04)
FounderBenjamin Coorey
HeadquartersSydney, New South Wales,

Archistar (founded in April, 2010) is a property technology company,[1] that uses artificial intelligence algorithms to generate building layouts.[2][3]


Archistar was founded by Dr. Ben Coorey, a regenerative designer.[4] By the Digital Design 2020 event, organized by the Institute of Digital Design Australia (IDDA), Archistar had developed a program (the Archistar Parametric Site Maximiser - APSM) which could work out analytics of architectural designs and give "real-time analytics with no coding required"[5], mixing technology and real estate.[6][7]

Property development

In 2019, CoreLogic and Archistar reviewed over 500,000 properties across Australian cities (Sydney, Melbourne and Brisbane),[8][9] in a bid to "meet the demand for more affordable housing",[10] they identified the properties suitable for granny flats which added up to 30 percent of the value of properties for their owners.[11][12]

Artificial intelligence and funding

In 2018, former CEOs of Foxtel, CoreLogic and CBRE invested in Archistar's PropTech project, this artificial intelligence platform (APSM),[13][14] enables users to assess potential value of developmental sites and know which projects were allowed on developmental sites in Australia.[15][16]

In 2020, the Government of New South Wales integrated Archistar into their Spatial Digital Twin Map for City Planning.[17][18]

In the media



  1. "Subscribe to The Australian | Newspaper home delivery, website, iPad, iPhone & Android apps". Retrieved 2020-04-30.
  2. "The Future of Property Development - a night at the Archistar Roadshow". Metropolis. Retrieved 2020-05-02.
  3. "architect magazine/technology/can-algorithms-design-buildings_o". Retrieved 2020-04-30.
  4. "NSW launches Spatial Digital Twin". Information Age. Retrieved 2020-04-30.
  5. Object, object (2017-02-01). "Design Institute Unveils Game Changing Software Platform". The Urban Developer. Retrieved 2020-04-30.
  6. "World-first technology to generate 3,000 building designs per hour | Property HQ". Commercial Real Estate for Sale. 2017-11-02. Retrieved 2020-04-30.
  7. "World-first technology to generate 3,000 building designs per hour | Property HQ". Commercial Real Estate for Sale. 2017-11-02. Retrieved 2020-04-30.
  8. AUSTRALIA, PROPERTY. "Hidden value lies wait in Australia's granny flats". Retrieved 2020-04-30.
  9. "Georg Chmiel chats with Ben Coorey on how to turn neighbours into millionaires". Retrieved 2020-05-02.
  10. Karen</a>, <a href="/author/skaren" title="View all articles from Sasha Karen">Sasha; Karen, Sasha (2019-06-17). "Suburbs that could jump 30% in value revealed". Retrieved 2020-04-30. {{cite web}}: |first= has generic name (help)
  11. Tacadena, Gerv. "Why the perfect time to build a granny flat is now". Your Mortgage. Retrieved 2020-04-30.
  12. "Granny flats: new report reveals they can offer big price boosts -". Retrieved 2020-04-30.
  13. Writers, Staff (2020-04-16). "AI startup Archistar joins AirTree's portfolio following $6 million raise". Which-50. Retrieved 2020-04-30.
  14. "Heavyweight-backed property start-up closes $6m funding round". Australian Financial Review. 2020-04-13. Retrieved 2020-04-30.
  15. "Former Foxtel, CoreLogic and CBRE bosses back proptech start-up Archistar". Australian Financial Review. 2018-12-04. Retrieved 2020-04-30.
  16. "Australian National Construction Review". Issuu. Retrieved 2020-04-30.
  17. "NSW launches Spatial Digital Twin". Information Age. Retrieved 2020-04-30.
  18. Emma (2019-02-07). "How ArchiStar is helping property professionals find residential development hot spots". The Real Estate Conversation. Retrieved 2020-04-30.

External links

This article "Archistar (Artificial Intelligence)" is from Wikipedia. The list of its authors can be seen in its historical. Articles taken from Draft Namespace on Wikipedia could be accessed on Wikipedia's Draft Namespace.