Architecture
A Layered Architecture
Drayvn is built on 5 coordinated layers that support the full lifecycle of enterprise AI.
Experience Layer
Where users, operators, and administrators interact with the platform through chat, builder workspaces, monitoring views, and settings.
Experience Layer
Where users, operators, and administrators interact with the platform through chat, builder workspaces, monitoring views, and settings.
Execution Layer
Where requests are processed, workflows are executed, tools are called, and agent decisions are carried forward through a runtime path.
Execution Layer
Where requests are processed, workflows are executed, tools are called, and agent decisions are carried forward through a runtime path.
Knowledge Layer
Where the platform connects to business systems, document stores, APIs, and contextual data needed to ground responses and trigger actions.
Knowledge Layer
Where the platform connects to business systems, document stores, APIs, and contextual data needed to ground responses and trigger actions.
Governance Layer
Where organizations manage access, apply policy controls, review logs, monitor usage, and keep AI adoption aligned with enterprise standards.
Governance Layer
Where organizations manage access, apply policy controls, review logs, monitor usage, and keep AI adoption aligned with enterprise standards.
Capability-Layer Mapping