Orchestration plane
Reasons across tasks, delegates across agents, and routes work across humans and services. Every decision reversible, every step recorded.
Platform · Architecture
A single runtime for
every agent you deploy.
Orchestration, automation, and infrastructure running as one platform across the stack you already have. Not three products your integrator has to glue together.
Architecture at a glance
Three layers. One runtime.
The platform is designed so that every workload, human-in-the-loop or fully autonomous, inherits the same identity, policy, and evidence controls, regardless of where it runs.
Automation plane
Ships workflows the way engineers ship code: a DSL, CI-style gates, environment promotion, versioned rollback, per-unit forks.
Infrastructure plane
Connectors, identity, encryption, and audit, one layer underneath every call agents make, inside your perimeter or ours.
Shared control plane
Unified policy, identity, and evidence across the three planes. No parallel controls, no separate audit pipelines, no shadow ops environments.
Data plane isolation
Per-tenant logical isolation by default; dedicated deployments for regulated workloads. Customer-managed keys where contracts require.
Model-agnostic layer
Foundation models are isolated from workflows. Swap, upgrade, or retire models without rewriting the control plane around them.
Architecture at scale
What the platform carries today.
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Enterprise integrations
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Workflows in production
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Enterprise customers
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Autonomous execution
Architecture capabilities
Built for the reality of enterprise deployment.
Not a reference architecture you have to implement. A shipped platform you deploy into the environment you already run.
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 runtime, 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.
Deployment flow
From handshake to production.
A typical enterprise deployment follows three gated stages, each with evidence, review, and measurable acceptance criteria.
- 01
Deploy inside your perimeter
The runtime is installed into your cloud, VPC, or on-prem environment, under your identity, encryption, and network controls. No data leaves your perimeter.
- 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.
- 03
Ship workflows with CI gates
Author workflows in the DSL, promote them through dev → staging → prod with review gates, version them, roll them back, the same way your engineers ship code.
Architecture in production
How enterprise customers deploy.
Six deployment patterns we run today, composable on the same platform.
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 control plane. Policy, identity, and evidence centralised, operational details localised per region.
Impact One control plane, 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 the platform, 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 honoured 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
Under the hood
Architecture 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
Why the architecture matters
What most platforms leave to the customer.
Controls are not an integration
Identity, encryption, policy, and audit are properties of the runtime, not things your security team wires in after procurement.
Scale without replatforming
Every new workflow, integration, or business unit adopts the same controls 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.
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