One AI-native operating system and ontology layer: the connected enterprise.
One operating layer for the company's people, its agents and its applications.
One surface for the whole enterprise.
The default is five systems that do not talk to each other, reconciled by hand.
holds the data substrate, the runtime and the audit trail in one system. 
Merchant Bank runs on it, the first Connected Company.
No exports, no reconciliation, no second source of truth.
The working model.
An ontology is not a database and not a diagram. It is the working model of a company, held in one system.
What it owns
Deals, portfolio companies, capital partners, people, meetings and documents: each one object with one address.
What it does
The operating work, the capital processes and the investment review run as workflows over those objects, not in mail and spreadsheets.
How it decides
The rules that turn a change in one object into a consequence in another, and a trail of what changed, when, and whether a person or an agent made it.
The agentic systems run on that model: an agent reads what the operators read and writes back through the same rules.
Inside the platform.
Every surface reads and writes the same record, on one addressing spine.
Argo Deal
Every company, project, task and action item in one place. A company is the deal.
Company, then project, then task, then action item, with trackers across them.
Argo Vault
The company's documents, filed under the same address as the work they belong to.
Not a folder tree: a document is reached from the company, the project or the task.
Argo Map
The relationships: people, companies and capital partners, and how they connect.
Coverage held as relationships, not rows, and where a relationship meets live work.
Argo Exec
The admin layer: who may see what, and the company's book as it stands.
On the same substrate as the work they govern, not in a system beside it.
Argo AI
A brain per organisation, trained on that organisation's own record.
What it knows is the company's own work, not a general picture of it.
Argo Dash
The surface a client or a sponsor sees: their part of the work, current.
Read out of the record the company already works in: no export to prepare, no second copy.
One platform, one deployment per enterprise.
Every enterprise on runs its own deployment: the same platform, its own data, its own brain.
- The product
- Argo itself: one platform, the surfaces above.
- The deployment
- Named for the organisation it runs for.
- The brain
- Trained on that deployment's own record.
ArgoBuilt for the enterprise that runs on it.
What a counterparty asks before a deployment, answered the way the platform works.
One deployment per organisation
Nothing is pooled and nothing crosses between deployments.
Trained on your own operating data
Frontier models, fine-tuned per company on the records the company already keeps and on our proprietary training datasets, compiled across industries. Data-agnostic: any dataset, platform or size.
One address per fact
In the URL, readable by a person and by the model at once.
A trail on every change
Part of the system, not a report run against it.
Embedded in the operation
Mapped to how the business runs, inside the system that holds the work.
What we hold, and what we do not
Controls that exist are described. Where the answer is not yet, the page says so. Read the trust page
runs the enterprise.
Argonav takes on deployments selectively, where the work an enterprise reconciles by hand is work the platform already carries.
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