Applied AI.

Models, agents and integrations that live inside real workflows. Not demo reels. Not vanity pilots. Year two, not launch week.

Workflow agents, model integrations, decision tooling, internal automation. Inside the work, not beside it.

Applied AI is not a category. It's a discipline. The models that matter are embedded in workflows the business already runs — automating what should never have been manual, surfacing signals that were already in the data, answering the questions a slow human chain used to. We build those. We judge them by what runs in production, not by what shines in the demo.

01

Workflow agents

Specification agents, intake agents, triage agents — software that does first‑pass work so humans only see what needs human judgement.

02

Model integrations

Frontier models wired into existing systems — with prompts the team can iterate on, guardrails the legal team signs off on, and evaluation that catches regressions before the user does.

03

Decision tooling

Systems that sit between the data and the decision‑maker. The few numbers that matter, the math behind each one, and the alternatives no one wanted to look at.

04

Internal automation

The unglamorous work that compounds: reports, reconciliations, classifications, summaries. Automated where it counts, left alone where it doesn't.

05

Augmented memory

Systems that give the model access to the company's memory — manuals, contracts, archives, internal history. The answer with a citation, not a confident guess.

06

Evaluation & guardrails

Tests, guardrails, continuous measurement. How we know the model is doing what it should — not just on launch day, but six months later.

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