Ant'z Studio

Ant'z Studio is a sovereign-agent OS that plugs into your on-prem stack, letting you deploy, run and govern AI agents locally—so your data never leaves your servers.

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Features of Ant'z Studio

One-command Nest runtime ships Vault, local LLM and vector DB in a single, air-gappable bundle.

Hive layer gives agents semantic memory, tamper-proof audit logs and built-in constitutional guardrails.

Python SDK with @agent / @tool decorators; dev, test and prod modes out of the box.

Zero-trust WireGuard mesh + auto-provisioned HashiCorp Vault keeps every packet and secret on-prem.

Control-plane APIs automate infra spin-up, service onboarding and key rotation.

Optional differential-privacy upload to Hive Central for federated learning without raw data exposure.

Use Cases of Ant'z Studio

Enterprises that need AI agents inside the firewall—no cloud, no data leakage.

Teams building agents over sensitive workflows who must prove every step in audit.

Orgs that want Ollama + vector DB behind the firewall for private-knowledge RAG.

Ops engineers who want a single CLI to stand up a GPU-ready AI stack on Azure VM or bare metal.

Architects designing multi-agent systems that remember, reason and obey hard-coded rules.

FAQ about Ant'z Studio

QWhat is Ant'z Studio?

It’s an on-prem operating system for AI agents: install it once, then build, deploy and govern agents entirely inside your own network.

QWhat makes it different?

Data sovereignty by design—everything runs locally, with one-click production stacks, immutable audit trails and zero-trust security baked in.

QDo I need to code?

Yes. Developers use our Python SDK and CLI to define agents, tools and memory; no low-code GUI.

QHow is my data secured?

Processing stays on your servers; traffic is tunneled through WireGuard and secrets live in an auto-provisioned Vault instance.

QWhich models can I plug in?

Any local LLM—Ollama, vLLM, text-generation-webui, etc.—or external endpoints you whitelist.

QHow hard is setup?

Nest claims a single command brings up the full stack (DB, model, mesh network) in under 10 minutes on a fresh Ubuntu box.

QWho should use it?

Security-sensitive orgs—finance, pharma, gov—that need private, auditable AI agents on infrastructure they control.

QIs there a cloud part?

Core is 100 % on-prem; an optional Hive Central cloud service receives differential-private embeddings only, never raw data.

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