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The Agimus Platform

Agimus centralizes your company's data from any number of sources, structures it with real meaning and relationships, and gives teams and AI one access point to build on. The platform is built to handle production data volumes from day one.

BuildTeams & AI operate here
Python SDKREST APIMCPApplications
OntologyData + semantics
Entity typesPropertiesRelationshipsAccess control
Data SourcesYour existing systems
DatabasesAPIsERPsFilesWarehouses

Data and semantics in one layer

The ontology sits at the center of the platform. It combines raw data from across your systems with a semantic layer that defines what that data represents: entity types, properties, relationships, and the business processes that connect them. The semantic layer maintains these definitions at scale and evolves with the business without breaking what's already built on top.

Both teams and AI query the same structured foundation. The relationships and meaning are defined once in the ontology, and every application, API call, and AI interaction inherits that context automatically. Schema changes propagate through a reviewed branching process with conflict detection and downstream validation.

How data moves through the platform

01
ConnectPlug into existing databases, APIs, and file systems. Automated sync keeps data current. Nothing gets replaced.
02
TransformClean, combine, and reshape data from different sources using Python notebooks.
03
DefineBuild the ontology through a reviewed branching process. Entity types, properties, relationships.
04
BuildPython SDK, REST API, or AI tools that already understand the data model. Deploy applications directly.

The platform handles production data volumes with automated synchronization, versioned datasets, and schema evolution. Access control is built in at every layer so both people and AI operate within defined boundaries.

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