Six layers, plus the agents that run on them.
Each layer has one job. Together they are the complete platform: nothing to assemble, nothing that phones home. Select a layer to inspect it.
WALDO
AI policy enforcement, compliance monitoring, data classification, and audit trail. Every layer above and below operates within the policies WALDO enforces and records.
WALDO →The agent catalog rides on all six layers: interfaces to reach users, governance to constrain actions, infrastructure to run on, training to improve, and the data layer to reason from.
AGENT CATALOG →One job per layer.
Which data is true, and who may see it?
Classification, sovereignty, lifecycle, and cataloging: the verified record every layer reasons from.
Is the platform healthy and secure?
Deployment, monitoring, and security for the models and services that make up the stack.
Is this allowed, and can we prove it?
Policy enforcement on every action, compliance monitoring, and a complete audit trail.
How do the people get better?
Mastery-gated learning that turns any source material into proven understanding, so the workforce is as ready as the platform.
How do we build our own?
Agent development, customization, and workflow orchestration on top of the catalog.
How does everyone else use it?
One assistant, in plain conversation, for every user who is not a builder.
Walk the architecture with the team that built it.
A briefing covers each layer, the interfaces between them, and how the platform lands on your infrastructure.