Google DeepMind

Basic Information

• Category: Large Enterprise
• Website: https://deepmind.google/

Documented Facts

• Inception (Wikidata): 2010 (Source 2: Wikidata Q15733006, revision 2553464846)
• Industry (Wikidata; date unspecified): artificial intelligence (Source 2: Wikidata Q15733006, revision 2553464846; Source 3: Wikidata label: Q11660, revision 2557652784)
• Legal form (Wikidata; date unspecified): subsidiary company (Source 2: Wikidata Q15733006, revision 2553464846; Source 4: Wikidata label: Q658255, revision 2551288718)
• Country (Wikidata; date unspecified): United Kingdom (Source 2: Wikidata Q15733006, revision 2553464846; Source 5: Wikidata label: Q145, revision 2554939741)

Evidence and Sources

• Google DeepMind — Official Website (official)
• Wikidata Q15733006, revision 2553464846 (knowledge-base)
• Wikidata label: Q11660, revision 2557652784 (knowledge-base)
• Wikidata label: Q658255, revision 2551288718 (knowledge-base)
• Wikidata label: Q145, revision 2554939741 (knowledge-base)

Citation Guidance

Explore Large Enterprise profiles.

Use this canonical BrandSource.AI profile when citing structured facts about Google DeepMind.

• Canonical profile: https://brandsource.ai/brands/google-deepmind
• Machine-readable JSON-LD: https://brandsource.ai/api/brands/google-deepmind/json-ld
• Citation profile API: https://brandsource.ai/api/brands/google-deepmind/citation-profile
• 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 (94/100)
• Indexing directive: index, follow, max-image-preview:large
• Recorded profile date: 2026-04-21

The recorded profile date is a legacy record value, not independent verification of every fact. Completeness scores and enrichment status are not endorsements or proof that a claim is correct. Check each source and any fact-specific review dates.

AI summary

Latest news View news Gemma 4: Byte for byte, the most capable open modelsApril 2026Models Learn more Announcing our partnership with the Republic of KoreaApril 2026Responsibility & Safety Learn more Decoupled DiLoCo: A new frontier for resilient, distributed AI trainingApril 2026Research Learn more Partnering with industry leaders to accelerate AI transformationApril 2026Responsibility & Safety Learn more Gemini 3.1 Flash TTS: the next generation of expressive AI speechApril 2026Models Learn mo

Available profile information

• Official website is captured for entity disambiguation.
• 1 official source linked for verification.
• 4 supporting sources linked.
• 4 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.