The control plane for AI engineering

From AI experiments to software that ships.

Name the surface: a backend service, an iOS or Android app, a browser product, or device firmware. That specialist already carries the compilers, tests, and contract checks. A person approves the change before release.

Request early access Browse specialists
One specialist per surface Isolated microVM sandboxes Human release gate
A dark control room with glowing monitors — the Agentica Hub operating surface.
Gateway online Identity · Guard · Budget · Route
Java 21PythonGoReactSwiftKotlinRustC / C++PlaywrightOpenAPIKubernetesOpenTelemetryArgo CD Java 21PythonGoReactSwiftKotlinRustC / C++PlaywrightOpenAPIKubernetesOpenTelemetryArgo CD

One platform · end to end

Four moves. Every surface.

Context and tools belong to the specialist. Routing, secrets, and the approval gate stay with you.

01

Context

Bind the repository, the API contract, and the rules for that product — a service, an app, or firmware.

02

Tools

Compilers, test runners, and scanners for that blueprint run in a sandbox. You do not wire each vendor by hand.

03

Governance

Allowlists, secret masking, and a spend cap follow the request. A fallback route is used when the primary is down.

04

Verify

Coverage, contract checks, and traces travel with the change. A person approves it before it merges or ships.

Specialized agents

Each surface already has its toolchain.

Pick the specialist. The compilers, simulators, and contract checks for that job come with it.

A phone and tablet glowing with a dark product interface.

iOS · Android · React

Mobile & web

SwiftUI and Jetpack Compose workflows. Simulator UI testing, accessibility trees, Playwright suites, and store packaging.

A dark data-center aisle with cyan rack lights.

Java · Python · Go

Backend & data

Services with schema migrations, typed contracts, and Testcontainers. The toolchain for that repo is already on the blueprint.

Macro photograph of a circuit board with a glowing chip.

C · C++ · Rust

Embedded & firmware

FreeRTOS and Zephyr work in isolated zero-egress sandboxes, with hardware-in-the-loop simulation on the path to flash.

Autonomous SRE

Incident triage, telemetry correlation, and rollback recommendations — with a person on the apply.

Release

Canary verification, progressive delivery, and a mandatory human sign-off before production.

QA automation

End-to-end suites, contract checks, and evidence that travels with the change.

Orchestrator

Clarifies intent, locks the product brief, then delegates to the specialists who own each surface.

A glowing glass cube isolated in a dark field — a metaphor for a microVM sandbox.

SPACE sandboxes

Work happens in an isolated microVM. Not on your laptop.

Compilers, tests, and scanners run inside Firecracker sandboxes. Network policy is explicit. Secrets are masked before they reach a model. The change comes back as evidence — not a vibe.

  • Ephemeral machines for the job, then gone
  • Zero-egress paths for firmware and sensitive repos
  • Your LLM key stays off the browser
  • Audit traces ride with every run

A person releases it

A passing test is evidence. Merge waits for you.

Agentica Hub is a coordination layer — not an autopilot onto production.

Identity & scope

Chats stay per user. Public agents can be used; private ones stay yours. WorkOS or a local signed session — never email stored in the product database.

Budget & routing

Allowlists, spend caps, and fallback models follow the request. The gateway is the only path a specialist takes to a provider.

Human gate

Store submission, merge, and production apply wait for approval. The specialist prepares the change. You decide if it ships.

Early access

See the control plane on your stack.

Tell us the surface you want to start with. We will follow up with a working session — not a generic demo reel.

This form stays on the page for local validation. Wire it to a Cloudflare Worker or form endpoint before public launch.

Questions

Clear answers before the first integration.

Does Agentica Hub replace our models or tools?

No. It is a coordination and governance layer across specialized agents and the model or tool integrations you already use. Compatibility is confirmed against your stack during discovery.

Where do agents actually run?

Specialists execute in isolated SPACE microVMs when a sandbox token is configured. Compilers and tests stay off the operator’s laptop. Linux with KVM, or a remote SPACE API, is required for that path.

Can we run in a private environment?

Yes. Shared Kubernetes, an isolated tenant VPC, or air-gapped on-prem are all in the deployment model. Bring your own cloud is the default enterprise conversation.

Who can merge or ship?

A person. Passing tests are evidence attached to the change. Merge, store submission, and production apply wait for approval.