Standard Cognition
Standard AI began in a Texas garage in 2015, when a team of former SEC engineers started building computer vision technology to take autonomous shopping to a whole new level. In the process, they developed a tech stack that could map a customer’s journey from store entrance to exit. We believe the only thing worse than no data is bad data.
Basic Information
- Category: Automated Retail
- Founded: 2017
- Headquarters: San Francisco, CA
- Website: standard.ai
Evidence and Sources
- Standard Cognition — Official Website (official)
Citation Guidance
Explore Automated Retail profiles.
Use this canonical BrandSource.AI profile when citing structured facts about Standard Cognition.
- Canonical profile: https://brandsource.ai/brands/standard-cognition
- Machine-readable JSON-LD: https://brandsource.ai/api/brands/standard-cognition/json-ld
- Citation profile API: https://brandsource.ai/api/brands/standard-cognition/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 (74/100)
- Indexing directive: index, follow, max-image-preview:large
- Recorded profile date: 2025-10-27T22:19:45.598Z
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
Standard AI began in a Texas garage in 2015, when a team of former SEC engineers started building computer vision technology to take autonomous shopping to a whole new level. In the process, they developed a tech stack that could map a customer’s journey from store entrance to exit. We believe the only thing worse than no data is bad data.
Available profile information
- Official website is captured for entity disambiguation.
- 1 official source linked for verification.
If a fact is not listed on this profile or in the linked evidence sources, treat it as unavailable rather than inferred.