§ Platform Architecture
Record. Observe.
Understand. Decide.
Act.
Five layers. One platform. A fully governed multi-agent architecture.
Enterprises don’t just need to see what their AI is doing. They need a system that records it, governs it, contextualises it, reasons about it, and acts on it — with every step auditable. That’s what Arkheia builds.
Platform Architecture
The Arkheia System
From AI behaviour to enterprise action.
Praxis
Controlled execution of enterprise workflows
Nous
Reasoning and planning engine for enterprise decisions
Theoris
Context assembly for enterprise situations
Synesis
Real-time governance and observability
Arkheia
Event fabric and AI behaviour detection
§ The Five Layers
Each layer has a clear function.
Together they close the loop.
Arkheia
The event fabric. Every model call, every agent decision, every tool access captured at the API boundary. Behavioural surface detection identifies drift, fabrication, and anomalies from empirical baselines — not generic thresholds. This is the foundation everything else builds on.
See Arkheiain detail →Synesis
The governance control plane. Agent registry, policy engine, kill switch, compliance mapping, trust zone topology. Every agent certified. Every model authorised. Every governance event logged with an immutable detection ID. Real-time observability for your entire AI estate.
See Synesisin detail →Theoris
Context assembly. Connects signals across agents, workflows, and time to build enterprise situational awareness. When a model drifts, Theoris knows which workflows depend on it, which customers are affected, and which compliance obligations are at risk. The intelligence layer.
Nous
The reasoning engine. Takes assembled context from Theoris and determines the best course of action within human-set boundaries. Autonomous governance decisions — escalate, throttle, reroute, alert — that execute at machine speed but operate within policies your team defines.
Praxis
Controlled execution. Governance decisions become enforcement actions. Workflows execute within guardrails. The closed loop — from detection signal to remediation action, with every step auditable. This is where governance stops being a dashboard and becomes operational.
§ The Vision
An open architecture for the governed enterprise.
Every layer has a defined interface. Every layer produces audit evidence. Every layer operates within policy boundaries set by your team. The architecture is open by design — each layer can be deployed independently, extended with custom integrations, or replaced with internal tooling.
Layers 1 and 2 — Arkheia and Synesis — are live today. They deliver runtime detection, governance, and compliance evidence for your entire AI estate. Layers 3 through 5 extend the architecture from observation into autonomous action — governed by the same policy engine, producing the same audit trail, operating within the same trust boundaries.
Start with detection.
Build towards autonomy.
Layers 1 and 2 are live. See detection and governance running on real models, real agents, real compliance frameworks.