Logia

Logia

Logia

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All your AI automations under one platform. No juggling.

We’re building a unified layer that lets teams run AI-powered workflows with visibility, control, and confidence.

Logia

Logia

The problem

AI automation is fragmented, opaque, and hard to trust.

Teams are stitching together AI tools, automations, and workflows across dozens of platforms — with little visibility, no single source of truth, and growing risk.

Too many tools. No control layer.

AI automations live inside individual tools — marketing here, ops there, agents somewhere else. Each works in isolation. None give you a unified view of what’s actually happening.

Too many tools. No control layer.

AI automations live inside individual tools — marketing here, ops there, agents somewhere else. Each works in isolation. None give you a unified view of what’s actually happening.

Too many tools. No control layer.

AI automations live inside individual tools — marketing here, ops there, agents somewhere else. Each works in isolation. None give you a unified view of what’s actually happening.

AI acts. You don’t see why or how.

Automations trigger, messages send, records change — often without clear explanations. When something goes wrong, teams are left guessing what happened and where.

AI acts. You don’t see why or how.

Automations trigger, messages send, records change — often without clear explanations. When something goes wrong, teams are left guessing what happened and where.

AI acts. You don’t see why or how.

Automations trigger, messages send, records change — often without clear explanations. When something goes wrong, teams are left guessing what happened and where.

Automation saves time — until it breaks.

Most teams spend more time maintaining automations than benefiting from them. Silent failures, brittle logic, and tool updates turn “set and forget” into constant babysitting.

Automation saves time — until it breaks.

Most teams spend more time maintaining automations than benefiting from them. Silent failures, brittle logic, and tool updates turn “set and forget” into constant babysitting.

Automation saves time — until it breaks.

Most teams spend more time maintaining automations than benefiting from them. Silent failures, brittle logic, and tool updates turn “set and forget” into constant babysitting.

The idea

We’re building a control layer for AI automation not another tool.

Today, AI automations live inside individual tools. Each one makes decisions in isolation. There’s no shared context, no unified visibility, and no clear way to govern what’s running across your stack.

Logia

Connect your tools once - no more juggling

Instead of building automation inside each platform, we connect your tools to a shared layer where workflows can be seen, understood, and governed together.

Input received

Validating data

Analyzing intent

Let AI run workflows - not suggest them

Automations aren’t isolated scripts. They’re coordinated workflows that understand context across tools, trigger intelligently, and run without constant human babysitting.

Syncing emails

From:

Cync/sec

To:

Cync/main

50% done

Cancel

See, understand, and intervene — anytime

Every automation runs through a single control layer where actions are visible, explainable, and reversible. Nothing happens silently. Nothing is hidden.

The beta

About the beta

About the beta

About the beta

We’re opening early access to a focused beta as we build the foundation of the platform.

We’re opening early access to a focused beta as we build the foundation of the platform.

We’re opening early access to a focused beta as we build the foundation of the platform.

What you’ll get access to

The core control layer that connects multiple AI tools in one workspace

Early automation orchestration: trigger, sequence, and monitor workflows

A small but growing set of supported integrations

A direct feedback channel that influences product decisions

What’s still in progress

Who this beta is for

Who this beta is not for

What you’ll get access to

The core control layer that connects multiple AI tools in one workspace

Early automation orchestration: trigger, sequence, and monitor workflows

A small but growing set of supported integrations

A direct feedback channel that influences product decisions

What’s still in progress

Who this beta is for

Who this beta is not for

What you’ll get access to

The core control layer that connects multiple AI tools in one workspace

Early automation orchestration: trigger, sequence, and monitor workflows

A small but growing set of supported integrations

A direct feedback channel that influences product decisions

What’s still in progress

Who this beta is for

Who this beta is not for

Social signals

We’re prioritizing thoughtful collaboration over rapid exposure.

This platform is being developed deliberately — with a small group of early users and a clear focus on long-term system design, not short-term trends.

Systems over surface

Built by designers and operators who care less about dashboards and more about how tools connect, scale, and stay understandable over time.

Systems over surface

Built by designers and operators who care less about dashboards and more about how tools connect, scale, and stay understandable over time.

Systems over surface

Built by designers and operators who care less about dashboards and more about how tools connect, scale, and stay understandable over time.

Private focused beta

Access is intentionally limited to a small number of teams so feedback stays meaningful and changes can be implemented quickly.

Private focused beta

Access is intentionally limited to a small number of teams so feedback stays meaningful and changes can be implemented quickly.

Private focused beta

Access is intentionally limited to a small number of teams so feedback stays meaningful and changes can be implemented quickly.

Shaped with early users

Product direction is informed by real usage and direct conversations — not feature requests driven by trends or social noise.

Shaped with early users

Product direction is informed by real usage and direct conversations — not feature requests driven by trends or social noise.

Shaped with early users

Product direction is informed by real usage and direct conversations — not feature requests driven by trends or social noise.

Help shape the control layer for AI automation

Help shape the control layer for AI automation

Help shape the control layer for AI automation

We’re looking for teams willing to think critically, give clear feedback, and use the platform in real workflows — not just explore it out of curiosity.

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