◆ Gentoo Logic · Modeling Warehouse
Warehouse › AI/LLM › Liquid AI

AI/LLM · Multi-Cloud

Liquid AI

MIT-spinout training its own non-transformer Liquid Foundation Models for efficient/edge inference.

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

Foundational models & how they consume them

PrimaryLiquid LFM (own)· self-hosted · Native (own / self-hosted weights)

Cloud & datastore

Multi-Cloudobject

Compliance

SOC 2

Similar companies

AI21 LabsAleph AlphaAnthropicCohereContextual AIHugging Face
Head-to-head: Liquid AI vs AI21 LabsLiquid AI vs Aleph AlphaLiquid AI vs Anthropic

Others that build on proprietary / self-built models

Abnormal SecurityAbridgeAdobeAI21 LabsAleph AlphaAmbience

Explore

More AI/LLM →Native (own / self-hosted weights) →More on Multi-Cloud →

FAQ

Does Liquid AI use a foundational AI model?
Liquid AI uses Liquid LFM (own) (Native (own / self-hosted weights)).
What cloud does Liquid AI run on?
Liquid AI runs on Multi-Cloud.
What database does Liquid AI use?
Liquid AI uses object.
How close does Liquid AI run to the foundational model?
Liquid AI is Native (own / self-hosted weights) — close to the metal, so cheaper tokens and more control over outputs.

Sources

liquid.ai ↗

Also on the map

proprietary / self-built models

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

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