Sits above any foundation model. Swap, upgrade, or retire models without rewriting the operating system around them.
AEOS · Architecture
How AEOS holds up
in production
The architecture behind the seven pillars: perimeter-aware, policy-checked, and evidence-ready, deployed inside the environment you already run, not glued together by your integrator.
The strategic insight · The loop nobody owns
AEOS revolutionizes how businesses get run.
- 01 Discover the highest-value opportunities
- 02 Remember what they already know
- 03 Sovereign deployment across every infrastructure tier
- 04 Orchestrate entire business processes safely
- 05 Measure realized ROI
- 06 Compound the advantage
- 07 Guarantee operational and SCR continuity
AEOS is the loop from discovery to compounding sustainable competitive advantage, seven pillars, one operating system.
Private cloud, on-premises, or fully air-gapped, the same seven pillars, your perimeter, your keys.
Three principles, one loop.
From discovery through orchestration to compounding ROI, three principles hold the pillars together in production: perimeter, policy, and evidence without a separate integration project.
Discovery feeds orchestration
Process mining and knowledge fabric surface what to automate. The orchestration layer runs it end-to-end, not a handoff between point tools.
ROI closes the loop
The Dynamic ROI Flywheel measures realized value and feeds the next discovery cycle. Compounding advantage is built in, not bolted on after procurement.
SCR and continuity by design
Security, compliance, and regulations govern every agent and human. Business continuity keeps the operating system resilient, not an afterthought when workloads scale.
Built for the reality of regulated deployment.
The seven pillars run wherever you need them, inside your VPC, across clouds, or fully air-gapped.
Perimeter-aware
Runs inside your VPC, your cloud, or on-prem. Customer data never leaves your environment. Customer-managed keys on supported deployments.
Multi-cloud native
AWS, Azure, GCP, and on-prem as first-class deployment targets. Same operating system, same policy, same evidence, wherever the workload lives.
Identity-first
SSO, SCIM, and RBAC enforced at every call, not at the edge. Service, user, and agent identity unified on one policy plane.
Event-driven by default
Scheduled, webhook, event, and conversational triggers. Agents react to signals instead of polling, and document the reasoning either way.
Policy at the platform
Rules enforced on every step of every workflow, not just at the front door. The platform fails closed when in doubt.
Evidence by default
Every call, decision, argument, and output recorded and signed. Export to your SIEM; retention enforced by policy, not by convention.
From handshake to production.
A typical enterprise deployment follows three gated stages, each with evidence, review, and measurable acceptance criteria.
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01 Deploy inside your perimeter
AEOS installs into your cloud, VPC, or on-prem environment under your identity, encryption, and network controls. No data leaves your perimeter.
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02 Wire into your systems
Prebuilt connectors attach to your ERP, CRM, ITSM, data warehouses, and custom APIs, with identity, policy, and audit enforced on every outbound call.
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03 Run the loop in production
Discover processes, orchestrate workflows, measure ROI, and compound, with SCR governance and continuity enforced on every pillar from day one.
How enterprise customers deploy.
Six deployment patterns we run today, composable on the same seven-pillar operating system.
VPC-resident deployment
Platform and data plane installed inside a customer-owned VPC. All agent traffic terminated within the perimeter; only metadata and telemetry cross the boundary under signed agreement.
Impact No customer data leaves the VPC
Multi-cloud estate
Workloads split across AWS, Azure, and GCP under one operating system. Policy, identity, and evidence centralized; operational details localized per region.
Impact One OS, three clouds
Sovereign / on-prem
Fully on-prem deployment for regulated or sovereign workloads. Customer-managed keys, network-isolated model inference, and hardened build-and-release pipeline.
Impact Compliant in classified environments
Shared-tenant evaluation
Scoped evaluations running in a shared-tenant environment while customers validate AEOS, with a clean migration path to dedicated deployment on contract.
Impact Fast start, no replatform on production
Data-residency-aware routing
Multi-region deployments with regional data-residency enforced by policy. Workflows pick the right region automatically; evidence stays where the data lives.
Impact Residency honored throughout
Hybrid model inference
Inference split between self-hosted models and managed endpoints under the same policy plane. Data-classification rules determine where each call is routed.
Impact Model flexibility without governance cost
Technical reference.
- Deployment targets
- AWS · Azure · GCP · on-prem · air-gapped (on request)
- Identity
- OIDC · SAML · SCIM · OAuth 2.0 · mTLS service-to-service
- Encryption in transit
- TLS 1.2+ enforced; mTLS between internal services
- Encryption at rest
- AES-256 · customer-managed keys (BYOK) · HSM-backed secret storage
- Data-plane isolation
- Per-tenant logical isolation · dedicated clusters available · VPC peering / PrivateLink
- Model inference
- Azure OpenAI · AWS Bedrock · self-hosted open-weights · customer-provided endpoints
- Observability
- OTel-native · ship to Datadog, Splunk, New Relic, or SIEM of choice
- Governance
- Evidence, control descriptions, and documentation on request under NDA
What most platforms leave to the customer.
The loop, not another layer
Discovery, orchestration, ROI, and compounding run as one operating system, not four vendors your integrator has to wire together.
Scale without replatforming
Every new workflow, integration, or business unit inherits the same seven pillars automatically. No central team re-implements what compliant means per use case.
Model flexibility without debt
Foundation-model choices stay reversible. The workflow you built last year survives this year's model generation, and next year's regulation.
Evidence is a by-product
Your audit, FOIA, and supervisory responses come from the same log that runs production. Not a parallel pipeline that breaks before your first exam.