initializ Orchestration
Compose, route, and supervise multi-agent workflows from one control plane — across any framework or model, with human-in-the-loop where it matters.
The enterprise control plane for AI agents
Run AI agents in production —
governed, orchestrated, observed.
initializ works with any agent — Forge (Agent Skills Runtime), Strands, Langchain or your own — inside your own cluster, under your own policies.
SELF-HOSTED · OIDC-NATIVE · SOC 2 · MODEL-AGNOSTIC · RBAC
SecurityEvents live Workspace: All
Policy violations 3
Egress blocked 12
Admission denied 4
Admission denied forbidden_model DENIED
Egress blocked example.com BLOCKED
Auth failed missing_token ERROR
source /etc/forge/policy/platform-policy.yaml hash-chained
Keysight Technologies
01
One control plane, three guaranteesGovernance sits alongside orchestration and observability — not beneath them.
Governance & Policy
Guardrails, RBAC, and hash-chained audit trails that satisfy enterprise compliance. Set policy once; enforce it at construction, at runtime, and at the egress boundary — on agents you didn't have to modify.
Observability & Ops
Real-time tracing, cost, and latency across every agent at scale — with tamper-evident audit you can hand to security and to auditors.
02
Build, govern, operateDescribe an agent; the platform builds, hardens, and deploys it — and enforces your policy at runtime.
Describe it. It’s deployed.
A natural-language goal becomes a working skill: pick a model, deploy. The platform builds a hardened image in-cluster — no Dockerfile, no CI setup.
Learn more →A hardened runtime
Deny-all egress with explicit allowlists, tool and channel controls, and a tamper-evident audit stream behind every action.
Learn more →Bring your own agents
Any A2A-compliant agent registers by its Agent Card and joins the same governance and workflows — credentials sealed, never readable back.
Learn more →Multi-agent workflows
Describe a goal; the planner drafts the pipeline. Edit it on a canvas, schedule it with cron, replay every step from run history.
Learn more →Budgets that stop overruns
Hourly, daily, and monthly token quotas at org, workspace, and agent scope — exhausted budgets deny new tasks at admission, not on the invoice.
Learn more →Runs in your cluster
Helm-installed in your own Kubernetes. Your registry, your identity provider, your LLM gateway.
Learn more → 30–60%
input-token savings from reversible context compression
In our validation runs; all values tokenizer estimates.
Security, in your cluster
Hyperscaler-grade controls. Your boundary.
The identity, credential, and governance controls a hyperscaler agent platform gives you — per-user token vault, delegated access, approvals, audit, egress — running inside your own cluster instead of a vendor’s managed account.
Per-user credential vaultBrokered short-lived tokensAct on behalf of the userHuman approval gatesDefault-deny egressHash-chained audit
Explore governance → 03
Built for control the hyperscalers can't offerWhat AgentCore and Gemini Enterprise structurally can't do.
Runs in your cluster, under your OIDC
Self-hosted into your own Kubernetes, authenticating against your own OIDC provider. No shared secrets, no shared control plane. Data residency that hyperscaler-hosted platforms can't match by design.
Model and framework freedom
Govern Strands, Forge, LangGraph, or bespoke agents — unmodified. Swap models freely. No lock-in to one vendor's runtime.
Cross-cloud visibility
One pane over agents wherever they run — AWS, GCP, Azure, on-prem — not just the ones native to a single provider.
Governance at the agent layer
Policy in agent semantics — models, tools, commands, egress, channels — not raw cloud primitives. Per-session microVM isolation doesn't authorize an autonomous agent; agent-semantic policy does.
04
Build open. Govern at scale.Two layers, one story — from developer laptop to enterprise production.
Forge
The open-source framework for building agents with AgentSkills defined in plain English. Free, community-driven. Build fast, own your agents.
Explore Forge →initializ
The enterprise control plane that governs Forge agents — and everything else — in production: policy, security, observability, and audit at scale.
See the platform →initializ is the enterprise control plane for open-source Forge AI agents — built with AgentSkills in plain English — giving organizations the governance, security, and observability to run them at scale.
05
How initializ comparesFactual, architecture-level differences — not marketing claims.
| Capability | initializ | AWS Bedrock AgentCore | Google Gemini Enterprise |
|---|---|---|---|
| Runs in your own cluster / OIDC provider | Yes | — | — |
| Data residency (no shared control plane) | Yes | Partial | Partial |
| Governs unmodified 3rd-party agents (Strands, etc.) | Yes | Limited | Limited |
| Model freedom | Any | Bedrock-centric | Gemini-centric |
| Cross-cloud agent visibility | Yes | AWS-first | GCP-first |
| Agent-semantic policy (models / tools / egress) | Yes | Primitive | Primitive |
| Hash-chained tamper-evident audit | Yes | — | — |
| Open-source build framework | Forge | — | ADK |
06
Questions, answeredWritten to be quoted directly by search and answer engines.
What is an AI agent control plane?
A control plane is the layer that governs, secures, and observes AI agents in production — managing their identities, tool permissions, model access, policy enforcement, and audit — independently of how each agent was built. initializ is that layer for the enterprise.
Can initializ run in my own cloud or cluster?
Yes. initializ is self-hosted into your own Kubernetes cluster and authenticates against your own OIDC provider. There is no shared control plane and no shared secret store, which satisfies data-residency requirements that hyperscaler-hosted agent platforms cannot meet by design.
How is initializ different from AWS Bedrock AgentCore?
initializ governs agents in your own cluster, across any model and framework, using agent-semantic policy — models, tools, commands, and egress — rather than raw cloud primitives. AgentCore is optimized for AWS-native, Bedrock-centric deployments. initializ also governs unmodified third-party agents such as Strands.
Do I have to change my agent code to govern it?
No. initializ enforces policy in the platform itself — a pre-build policy gate at construction, a per-workspace runtime policy enforced fail-closed, and deny-all egress at the network boundary — so governance is applied without requiring changes to customer agent code.
What is Forge, and how does it relate to initializ?
Forge is the open-source framework for building agents with AgentSkills written in plain English. initializ is the commercial control plane that governs Forge agents — and other frameworks — at enterprise scale.
Which models and frameworks does initializ support?
initializ is model-agnostic and framework-agnostic. It governs Forge, Strands, and custom agents, and lets you route across models without lock-in.
Can I use agents I already have?
Yes. Any A2A-compliant agent registers by its Agent Card and joins the same governance and workflows as platform-built agents. Credentials are sealed (AES-256-GCM), attached by the orchestrator on every dispatch, and never readable back.
Put your agents under control.
Governance, security, and observability for every AI agent you run — in your cluster, on your terms.