AI Infrastructure

The stack beneath
intelligent agents.

ZIRAX gives every agent a secure place to run, models to reason with, and governed context to act on. Sandbox, MaaS and Data — one infrastructure layer from first prototype to production scale.

200+Models on one API
<100msP50 model routing
10k+Concurrent sandboxes
Zero-trustPer-agent isolation
Live agent run agent-zirax-07
Running
Sandbox microVM Spawned in 120ms
MaaS routed 3 providers, 0 fails
Data 14 ctx Permissioned hits
Sandbox

Isolated runtime ready · tools allowlisted.

MaaS

Routed to fastest model · fallback armed.

Data

Retrieved 14 context chunks · citations attached.

The problem

Agents work in demos. They break in production.

Every team that ships agents hits the same three walls. Each one is an infrastructure problem.

Agents can't run free

Code execution, browser actions and shell access need isolation, permissions and audit trails — or they never touch production.

Models are fragmented

Teams stitch together half a dozen provider APIs, retry logic, budgets and guardrails. Every integration is rebuilt from scratch.

Context is locked down

Your data lives in databases, docs and drives — with permissions an agent can't understand and citations it can't produce.

The stack

One infrastructure, three planes.

Your agents sit on top. ZIRAX handles everything beneath them.

Your layer

Agents & applications

Copilot, automation, research, support — the products your team builds.

Your codeYour workflowsYour users
Plane 01 · Sandbox

Secure agent runtime

Isolated microVMs with tool controls, checkpoints, approvals and replayable audit traces.

MicroVM isolationTool allowlistsApproval gatesReplay & audit
Plane 02 · MaaS

Model-as-a-Service plane Open platform ↗

Every frontier and open model behind one API, with routing, guardrails, metering and private deployment.

200+ modelsSmart routingToken governanceObservability
Plane 03 · Data

Governed context plane

Connectors, hybrid retrieval, access policies and citation-grade lineage for every answer.

100+ connectorsHybrid retrievalPII maskingLineage & citations
The agent loop

How an agent runs on ZIRAX.

Every turn passes through all three planes — automatically.

01

Retrieve context

Data pulls permissioned, citation-ready context for the task.

02

Reason with models

MaaS routes the request to the best model, with fallbacks.

03

Execute in sandbox

Actions run inside an isolated, tool-controlled runtime.

04

Check, approve, record

Sensitive steps hit approval gates; every run is replayable.

Built for every stage

From weekend prototype to enterprise rollout.

Startups & builders

One API key for models, sandboxes and context. Ship your agent this week.

AI teams

Governance, budgets and observability across every model and agent in production.

Enterprise

Private VPC deployment, SSO, data residency and audit-ready logs by default.

01

Prototype

First agent on hosted ZIRAX.

02

Production

Policies, budgets and guardrails.

03

Scale

Private deployment, firm-wide.

Build on ZIRAX

Sandbox, MaaS and Data — the infrastructure your agents need, without the undifferentiated plumbing.

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