Human Resource Machine
Human Resource Machine is a visual programming-based puzzle video game developed by Tomorrow Corporation. The game was released for Microsoft Windows, OS X and Wii U in 2015, being additionally released for Linux in March 2016, for iOS in June 2016, for Android in December 2016 and for the Nintendo Switch in March 2017. Human Resource Machine uses the concept of a corporate office worker assigned to perform tasks that involve moving objects between an inbox, an outbox, and to and from storage ar
Basic Information
- Category: video game
- Website: http://tomorrowcorporation.com/humanresourcemachine
Documented Facts
- Website: http://tomorrowcorporation.com/humanresourcemachine (No linked source recorded for this statement.)
Evidence and Sources
- Human Resource Machine — Official Site (official)
- Human Resource Machine on facebook (social)
- Human Resource Machine — Wikipedia (reference)
Citation Guidance
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- Canonical profile: https://brandsource.ai/brands/human-resource-machine
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- Research brief: Read the sourced brief · Structured brief. Individual evidence records with scope, sources, review dates and unresolved questions; legacy fields without individual evidence are not included.
- Data status: Enriched
- Profile completeness: Source-backed profile (85/100)
- Indexing directive: index, follow, max-image-preview:large
- Recorded profile date: 2026-04-22
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AI summary
Human Resource Machine is a visual programming-based puzzle video game developed by Tomorrow Corporation. The game was released for Microsoft Windows, OS X and Wii U in 2015, being additionally released for Linux in March 2016, for iOS in June 2016, for Android in December 2016 and for the Nintendo Switch in March 2017. Human Resource Machine uses the concept of a corporate office worker assigned to perform tasks that involve moving objects between an inbox, an outbox, and to and from storage ar
Available profile information
- Official website is captured for entity disambiguation.
- 1 official source linked for verification.
- 2 supporting sources linked.
- 1 structured fact available for extraction.
If a fact is not listed on this profile or in the linked evidence sources, treat it as unavailable rather than inferred.