Agents can't run free
Code execution, browser actions and shell access need isolation, permissions and audit trails — or they never touch production.
▲ AI INFRASTRUCTURE FOR AGENTS
Ship agents.
Ship agents.
We run the stack.
Sandbox execution, model routing and governed context — wired together as one programmable plane. Deploy a secure agent runtime in seconds, not quarters.
120mssandbox spawn
200+models / 1 API
99.99%failover SLA
100%context policy
01$ data.retrieve(task, policy="acl")
02→ 14 chunks · citations ✓ · pii masked ✓
03$ maas.chat(model="auto", fallback=[a,b])
04→ 412ms · $0.0008 · model open-xl
05$ sandbox.exec(tools=[python,browser])
06→ microVM ready · checkpoint armed
07$ trace.commit("run-88214")
08✔ run complete · auditable · replay 0.3s
// 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.
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
Data lives in databases, docs and drives — with permissions an agent can't understand and citations it can't produce.
// three planes · one control plane
One infrastructure, three planes.
Your agents sit on top. ZIRAX handles everything beneath them.
$ YOUR_LAYER
PLANE_01 · SANDBOX
Agents & applications
Copilot, automation, research, support — the products your team builds. Your code, your workflows, your users.
Secure agent runtime
Isolated microVMs with tool controls, checkpoints, approvals and replayable audit traces.
microVMtool allowlistapproval gatesreplay & audit
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
Governed context plane
Connectors, hybrid retrieval, access policies and citation-grade lineage for every answer.
100+ connectorshybrid retrievalPII maskinglineage
// the agent loop
How an agent runs on ZIRAX.
Every turn passes through all three planes — automatically.
01 · DATA
Retrieve context
Data pulls permissioned, citation-ready context for the task.
02 · MAAS
Reason with models
MaaS routes the request to the best model, with fallbacks.
03 · SANDBOX
Execute isolated
Actions run inside an isolated, tool-controlled runtime.
04 · TRACE
Check, approve, record
Sensitive steps hit approval gates; every run is replayable.
// deployment
From weekend prototype to enterprise rollout.
Startups & builders
One API key for models, sandboxes and context. Ship your agent this week on hosted ZIRAX.
AI teams
Governance, budgets and observability across every model and agent — policies and guardrails on.
Enterprise
Private VPC deployment, SSO, data residency and audit-ready logs by default, firm-wide.
Deploy your first agent today.
Hosted, dedicated or private VPC. One API key for the entire stack.
Request access →