1m1b Foundation
1M1B (One Million for One Billion) is a United Nations-accredited nonprofit organization established in 2014, founded by Manav Subodh. The organization focuses on digital skilling, change-making, and entrepreneurship, aiming to equip youth throughout India with essential skills such as artificial Intelligence (AI), Green Skills, Entrepreneurship, Digital Citizenship, Augmented Reality (AR), Virtual Reality (VR), and other emerging technologies. 1M1B works closely with the UN Economic and Social
Basic Information
- Category: nonprofit organization
- Founded: 2012
- Website: http://www.activate1m1b.org
Documented Facts
- Email: partnerships@onemoneb.org (No linked source recorded for this statement.)
- Founded: 2012 (No linked source recorded for this statement.)
- Employees: 20 (No linked source recorded for this statement.)
- Website: http://www.activate1m1b.org (No linked source recorded for this statement.)
- Country: India (No linked source recorded for this statement.)
Evidence and Sources
- 1m1b Foundation — Wikipedia (reference)
- 1m1b Foundation — Official Website (official)
Citation Guidance
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- Data status: Enriched
- Profile completeness: Source-backed profile (90/100)
- Indexing directive: index, follow, max-image-preview:large
- Recorded profile date: 2026-04-23
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AI summary
1M1B (One Million for One Billion) is a United Nations-accredited nonprofit organization established in 2014, founded by Manav Subodh. The organization focuses on digital skilling, change-making, and entrepreneurship, aiming to equip youth throughout India with essential skills such as artificial Intelligence (AI), Green Skills, Entrepreneurship, Digital Citizenship, Augmented Reality (AR), Virtual Reality (VR), and other emerging technologies. 1M1B works closely with the UN Economic and Social
Available profile information
- Official website is captured for entity disambiguation.
- 1 official source linked for verification.
- 1 supporting source linked.
- 5 structured facts 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.