Standalone public preview · synthetic architecture · no customer data

Federated application cloud · controlled by design

Ship the AI system. Control every connection.

Janus Stack gives bespoke AI applications a secure operating fabric across cloud, private platforms, and edge environments—without flattening every workload into one vendor, runtime, or trust boundary.

Public cloudPrivate infrastructureOn-premEdge
Enterprise AI meshpolicy synchronized
Policy authorityJANUS ROOT
Cloud regionModel services
Private platformData boundary
Agent leafWorkflow orchestrator
Mesh serviceSecure object context
Edge appReal-time inference
IdentityStable UUIDs, never display-name trust
AuthorityEvery hop authenticates independently
PolicyMissing grants fail closed
PortabilityLanguage-neutral application leaves

A control plane shaped around the application

Compose the mesh your AI workload actually needs.

Attach purpose-built application leaves to a rooted federation. Each workload receives only the services, network paths, controls, and operational visibility it is explicitly allowed to use.

Application plane

Bring any runtime. Keep one operating contract.

Small Python tools, TypeScript services, browser leaves, and certified node families register through a provider-neutral application boundary.

  • Authenticated sessions
  • Heartbeats
  • Typed commands
  • Private ingress
Service plane

Discover capabilities—not backend credentials.

Named, versioned services flow down the tree while invocations route to providers without exposing their addresses or secrets to descendants.

  • Object store
  • Central auth
  • Janus Git
  • Extensible contracts
Agent plane

Give agents tools with boundaries that survive the demo.

Short-lived signed grants bind caller, target, tool, input digest, budget, deadline, route, and idempotency at every hop.

  • Tool allowlists
  • Control plans
  • Call budgets
  • Cancellation
Operations plane

Observe, recover, and release without a remote shell.

Durable logs, runtime inventory, independent priority control, signed releases, and rollback live beside the workload rather than inside it.

  • At-least-once logs
  • Watchdogs
  • Fleet releases
  • Audit evidence

Trace the trust decision

Nothing “just connects.” Every path earns its next hop.

Explore how Janus Stack handles the flows that matter most to enterprise AI applications.

Agent execution that stays branch-local

An approved agent can invoke an allowlisted tool only on its local node or certified descendants. It cannot route upward or cross into another branch.

Approve the agent sessionSeparate admission
Bind tool, input digest, target, and deadlineSigned grant
Verify and re-issue authority at each hopHop by hop
Return typed output with a redacted audit recordNo raw input

Fail-closed by construction

Security is the routing logic—not a slide after the architecture.

Janus Stack turns identity, policy, and topology into runtime checks. Credentials remain local to their direct boundary, authorization is additive, and missing state denies the operation.

Independent control path

A separate TLS/yamux session keeps typed restart, upgrade, rollback, and health operations available when the primary data plane is saturated.

No arbitrary shell

Control requests are allowlisted, deadline-bound, idempotency-aware, routed to protected local watchdog IPC, and recorded.

Bounded egress

Application traffic uses an authenticated loopback proxy. The root enforces destination and port policy and rejects unsafe address classes.

Durable evidence

Logs reach disk before hot-store insertion, preserve origin and route, deduplicate at least-once delivery, and remain queryable across descendants.

Application service decisionintersection required
1Application credential or approved sessionExact scope
2Registered manifest dependencyExact operation
3Root-owned service grantOrigin bound
All three match → invoke · anything missing → deny

Enterprise blueprints

Start with the constraint. Build the mesh around it.

Janus Stack is deliberately composable: topology, service placement, data retention, egress, control, and application runtime can change without discarding the operating model.

01 / SECURE AI ORCHESTRATION

Agents that can act—but only where intended.

Keep model-facing tools, budgets, identities, and execution routes explicit across application and infrastructure boundaries.

  • Branch-local tools
  • Revocable plans
  • Redacted audits
02 / REGULATED DATA BOUNDARY

Move the operation, not the secret.

Place storage and specialized services near controlled data while applications invoke them through scoped contracts.

  • No backend keys downstream
  • Application namespaces
  • Central roles and groups
03 / EDGE + PRIVATE CLOUD

One control tree across uneven infrastructure.

Run edge leaves beside the work, aggregate through regional children, and retain root authority for policy, releases, and approved exits.

  • Multi-hop federation
  • Private HTTP tunnels
  • Family-aware releases

Bespoke service-mesh delivery

From AI requirement to certified operating boundary.

We design around the application, map authority and data movement, compose only the necessary planes, then leave your team with an inspectable system and implementation contract.

Discover the real trust boundaries

Map applications, model providers, data classes, operators, edge locations, recovery needs, and forbidden paths.

Compose topology and services

Place nodes, leaves, providers, exits, identity authority, retention, and management applications where they belong.

Encode least privilege

Issue node-bound credentials, exact application scopes, root grants, egress ACLs, agent plans, and release families.

Certify failure and recovery

Exercise missing grants, broken hops, saturated primary sessions, stale leaves, failed releases, rollback, and audit evidence.

Your AI architecture deserves a real operating model

Bring us the application everyone says is “too bespoke.”

We’ll turn its infrastructure, security, agent, and data constraints into a service-mesh blueprint your delivery team can inspect, challenge, and build.

Prototype interaction

Mesh brief ready.

In production this action should start a scoped discovery workflow covering application topology, AI providers, data classes, identity, egress, operations, and recovery. This prototype intentionally transmits no contact or architecture data.