MarzyOS | Mulholland

Mulholland

AI-native platform built around midmarket industries

Mulholland builds MarzyOS to take on the repetitive work that no longer needs a person doing it by hand.

One map of your business sits underneath, and the agents work on top of it. Every action leaves a receipt. When a system never shipped an API, Marzy works it in a recorded browser session. We build it, we run it, and your data stays yours.

MarzyOS has three layers.

Line drawing: scattered business systems joined into one layered model that agents act on.

Ontology

Every workspace gets one typed model of its own operation, written in the words the industry already uses. It’s one schema, not a copy cloned for each customer.

Agents

We give each agent one job and one slice of the model. No agent can reach everything, because none of them needs to.

Receipts

Every write Marzy makes carries what it came from, who approved it, and when. The receipt sits next to the record it changed.

Your company’s front door.

Your portal holds the pages, records, and workflows your team needs. These three examples show the product at work.

The Marzy dashboard running the healthcare build, with a team chat and an inbox beside it. — Marzy checks tomorrow’s patients against their payers overnight. The front desk gets the few that need a person. Marzy reads the client’s hours sheet into one payroll run and flags the exception for review. The vendor answers one category template. Marzy tracks what came back and what is still missing.

The Marzy payroll desk, with anonymous employee pay lines beside the source timecards. — Marzy checks tomorrow’s patients against their payers overnight. The front desk gets the few that need a person. Marzy reads the client’s hours sheet into one payroll run and flags the exception for review. The vendor answers one category template. Marzy tracks what came back and what is still missing.

Your data
stays yours

What you can do with it

Our cloud or yours

MarzyOS is the same platform in our cloud or in yours. The only change is who holds the keys to the infrastructure underneath. Mulholland is a Google Cloud partner.

A small API

Everything the portal and the agents do comes off the same endpoints. If your team can call an API, they can build on the model.

Your assistant, in the work

Marzy speaks the Model Context Protocol, so the assistant your team already uses can work in the model. It sees the same objects, under the same permissions.

Exports on demand

Your data lives in one workspace, one encrypted database, and one object storage prefix. Exports come off the ontology whole, whenever you ask for one.

Every browser session, on tape.

The session opens.

Credentials move from your vault into an isolated session. Marzy never holds them and never writes them down.

The work happens.

Marzy works the system the way a person does. It records every page, click, and keystroke, as video and as structured events, not as a log line.

The fields land.

Values land on the ontology object itself, not in a spreadsheet somebody has to reconcile on Friday.

The run closes.

The recording, the extraction, and the approval file together, as one receipt beside the record. When something goes wrong, you scrub the recording and correct the rule that produced it.

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