We build

Domain-specialized AI for high-stakes professional work. Marginal AI is our first vertical. Garner AI is our second, and our first platform extension.

The thesis

The tools for high-stakes work are incomplete, too general, shallow, or outdated.

Frontier models are powerful but general-purpose. They hallucinate on domain specifics, miss provenance, and weren't built for the workflows of knowledge workers: analysts, researchers, regulators, lawyers, traders, and others.

Legacy solutions underserve where there are clear market gaps, offering a slice of what the market needs.

We build the third option: domain-specialized AI that sits between those poles. Built for the specific workflow, priced for the buyer who actually does that work, and engineered for precision across platforms.

Our scope

Four prerequisites for every product we ship.

High usage. Scalable. Focused and contextually relevant. Novel.

Four prerequisites: High Usage, Scalability, Focused and Contextually Relevant, Novel.

Every AI product we develop has to clear all four bars: serve a workflow professionals run frequently, scale from enterprise wedge into consumer demand, deliver outputs general-purpose models can't reach reliably, and bring something to the market that no incumbent already offers.

See what domain-specialized AI looks like in production.

Marginal AI launches early June 2026. The first 200 pre-registrations receive 350 Compute Units free.

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