◆ Gentoo Logic · Modeling Warehouse
Warehouse › Telecom › AT&T

Telecom · Hybrid

AT&T

Telecom; in-house network ML plus partner LLMs (Ask AT&T on Azure OpenAI) for employees.

Foundation proximity: Native (own / self-hosted weights)

Foundational models & how they consume them

Primaryown ML· self-hosted · Native (own / self-hosted weights)
Secondarypartner LLM· partners · Cloud-hosted (Bedrock/Vertex/Azure)

Cloud & datastore

Hybridown

Compliance

SOC 2

Similar companies

Verizon
Head-to-head: AT&T vs Verizon

Others that build on proprietary / self-built models

Abnormal SecurityAbridgeAdobeAI21 LabsAleph AlphaAmbience

Explore

Native (own / self-hosted weights) →More on Hybrid →

FAQ

Does AT&T use a foundational AI model?
AT&T uses own ML, partner LLM (Native (own / self-hosted weights)).
What cloud does AT&T run on?
AT&T runs on Hybrid.
What database does AT&T use?
AT&T uses own.
How close does AT&T run to the foundational model?
AT&T is Native (own / self-hosted weights) — close to the metal, so cheaper tokens and more control over outputs.

Sources

att.com ↗

Also on the map

proprietary / self-built modelsmiddleware / wrappers

← Full orbit map (260 companies) · Score your own stack →

Architecture inferred from public sources · confidence low · verify before betting on a detail.