AI vendors and platforms · computed from bank profiles; nothing on this page is written by a model. All ranked answers: /banks/leaders
On the public record as of Oct 28, 2026, 5 of the 141 large banks profiled have a dated, sourced profile entry naming Meta's Llama (a use case, a timeline move, a platform note or a vendor-page customer record). Ranked by entries naming Meta's Llama, the top 5 are Flagstar (4 entries), Goldman (2 entries), Capital One (2 entries), USAA (1 entry) and BNY (1 entry). Flagstar's strongest evidence: StarIQ multi-model orchestration — Claude, Llama, Mistral and Titan behind one governed platform with consumption-based deployment (use case, in production, Jun 15, 2026).
141 banks profiled (120 US, 21 non-US) · 5 with matching evidence · ranked answer, not a comparison
Which of the large banks use Meta's Llama?
| # | Bank | Entries naming Meta's Llama | Strongest entry | Status | Date | On this site | Sources |
|---|---|---|---|---|---|---|---|
| 1 | Flagstar | 4 | StarIQ multi-model orchestration — Claude, Llama, Mistral and Titan behind one governed platform with consumption-based deployment (use case, in production, Jun 15, 2026) | In production | Jun 15, 2026 | Flagstar profile → | Flagstar Bank ↗ · Banking Dive ↗ |
| 2 | Goldman | 2 | OpenAI, Google, Meta, Microsoft — Models behind the GS AI Platform: GPT via Microsoft, Gemini and Llama in 2024 (section, Jul 25, 2025) | Mentioned | Jul 25, 2025 | Goldman profile → | The Wall Street Journal ↗ · CNBC ↗ |
| 3 | Capital One | 2 | Chat Concierge — built on Meta's open-source Llama customised with Capital One's proprietary data (section, Mar 5, 2025) | Mentioned | Mar 5, 2025 | Capital One profile → | Capital One ↗ |
| 4 | USAA | 1 | Multi-vendor model strategy — Google Gemini used 'extensively', AWS Bedrock, IBM Watsonx Orchestrate, open-weight models such as Meta Llama watched… (use case, in production, May 13, 2025) | In production | May 13, 2025 | USAA profile → | TechTarget ↗ |
| 5 | BNY | 1 | Eliza described: about 14,000 users, built on GPT-4, Gemini and Llama (move, Aug 15, 2024) | Mentioned | Aug 15, 2024 | BNY profile → | Fortune ↗ |
Each row quotes one record from bank profiles; the “On this site” link opens the bank's own page or sub-page with every source. Banks absent from the table have nothing matching on the record this site holds.
How is this ranked?
Data: the 141 bank profiles on this site (lib/banks), every entry dated and sourced.
Rule: A bank is listed when at least one use case, timeline move, platform note, section row, number, quote or leader entry on its profile matches the pattern Llama. Score = number of matching entries. Order: entries, then banks with a matching use case in production, then the newest entry. An entry that only restricts or blocks the vendor's tool is kept, marked "Restricted" and sorted last.
Counts: 5 of 141 profiled banks qualify; 7 distinct sources cited in the table. Data checked 2026-10-28; ranking template updated 2026-10-30.
What are the caveats?
Naming Meta's Llama on the public record is evidence of a relationship, a pilot or a policy, not of contract size or exclusivity; many banks use several providers and do not name them all.
Banks absent from the table have nothing matching on the record this site holds, which is not evidence that they do nothing. Each row links the bank's own page, where every entry carries its sources.
Which bank ranks first?
Flagstar Bank leads with 4 entries: StarIQ multi-model orchestration — Claude, Llama, Mistral and Titan behind one governed platform with consumption-based deployment (use case, in production, Jun 15, 2026). Goldman is second with 2.
How many large banks name Meta's Llama in sourced AI records?
5 of the 141 profiled banks (120 US, 21 non-US groups). Among those listed, 5 are US banks and 0 non-US groups.
What counts, and what does not?
A bank is listed when at least one use case, timeline move, platform note, section row, number, quote or leader entry on its profile matches the pattern Llama. Score = number of matching entries. Order: entries, then banks with a matching use case in production, then the newest entry. An entry that only restricts or blocks the vendor's tool is kept, marked "Restricted" and sorted last. Source: the 141 bank profiles on this site (lib/banks), every entry dated and sourced.
Is this a measure of capability?
No. Every row is a sourced fact on the public record: what the bank, a regulator, a filing or an independent outlet has put on the record. The page does not rate how well anything works.
When was this checked, and how often does it update?
The data behind the table was last checked on 2026-10-28 (bank profiles). The page recomputes whenever that dataset changes and is republished with the site; it is never edited by hand.
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