About Zervanor

We're building the enterprise automation factory, not just another workflow tool.

The automation industry is broken. Legacy platforms hand you an empty canvas, force you to connect thousands of APIs yourself, and charge you a "tax" for every single step. Meanwhile, your AI agents are hosted in entirely different ecosystems.

We asked: Why should automation be a complex construction project?

The "What-First" Philosophy

At Zervanor, we believe in a "What-First" approach. We don't ask, "Which tool do you want to connect?" We ask, "What business problem do you want to solve?"

Instead of an empty canvas, you compose a working operation from three layers — agents, workflows, and connectors — on one runtime. Today: a fast-growing catalog of ~65 connectors (each built to the same atomic-unit contract bar), a live visual workflow builder, and our first flagship automation — with more shipping continuously via our schema-driven integration pipeline, all in one universal CloudEvents language.

Why Zervanor?

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Automations, Not Infrastructure

Skip the empty canvas. Compose agents, workflows, and connectors into a working operation on a live visual builder — or start from our flagship automation.

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One run, however many steps

A chain is one workflow execution end to end — a 20-step flow is still one run, not twenty. The stateful AI agents inside it are hosted in the same runtime, not bolted on from somewhere else.

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Enterprise-Grade Isolation

Built on a Kubernetes-native architecture, we ensure true multi-tenant isolation. Your data never mixes with other customers.

New — runtime & models

Run on the platform — or on your own device.

The same agent runs in the managed cloud or on your own machine, draws on a routed mix of cloud and on-device models, and is reachable through a chat interface.

Cloud or your device

The same agent — one manifest, one SDK — runs in a managed cloud pod or on your machine via the Zervanor Desktop app. It connects outbound, so it works behind a firewall.

Smart model routing

One catalog of cloud, platform and on-device models behind named routers with automatic fallback. Choose a model per agent; run inference locally when you want.

Conversations

A persistent, model-routed chat that can drive your connectors and agents as tools — with a confirmation step before anything changes.

Desktop runtime host today; a mobile host is on the roadmap.

Today we stand on a multi-tenant, Kubernetes-native platform that has passed a full security and governance audit — 47/47 CI gates. It is not a product we sell: it is the engine our own vertical SaaS products run on, and the one we license to teams building theirs.

Get in touch

info@zervanor.com