Smart Enterprise

We architect your Org Brain. You govern and own it.

For larger organizations, we’ll design your Memory Architecture, wire it into the stack you already run, and train the Cognitive Designers and System Librarians who run it.

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Enterprise engagements start with the AI you already run.

A governed organizational brain: a network of cognates under human control

74%Source ¹

of CIOs regret at least one major AI vendor or platform decision made in the last 18 months

36%Source ²

of organizations would need more than 12 months to move off a critical provider

10%Source ²

have no viable alternative provider at all

14%Source ²

can see their full set of technology dependencies

¹ Dataiku / Harris Poll, survey of 600 CIOs, published Feb 2026. ² Capgemini Research Institute, Digital Sovereignty: From Policy Ambition to Executive Imperative, September 2026 (1,300 executives at $1B+ organizations, fielded April 2026).

How It Connects

Plug in the AI you already run.

You already have enterprise contracts for AI and the applications your teams use. Keep them.

Your team stays in Claude, Copilot, GPT, or Gemini. They point their AI at your Org Library, and Starling OS governs what each person can read and write.

Your governing roles work on Starling MX. System Librarians govern Canon and Patterns and permission Projects. Coming with Connections: Cognitive Designers, who wire the library to your other systems with if-then rules we call autonomic equations. Both learn from playbooks built into Starling. System Librarians certify in the product; Cognitive Designers certify by demonstration, assessed by our team.

Your work lands wherever it lands today, in the apps and drives your teams already use. What changes is the governed memory their AI works from. Anything worth keeping can be written back to it.

When your team’s AI reads the library, it fetches each memory by address. What it receives is limited by each person’s permissions in Starling, and what the provider sees stays under its no-training, bounded-retention terms.

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Our Solution

Not a tool subscription. An administered intelligence system with business and knowledge design logic.

01

Your Domain Language Model

We structure your canon, work, and institutional memory on Universal Cognitive Architecture, the open standard that gives every piece of knowledge a permanent address, so your AI reads the right context by address.

02

Your Administrators

We train the System Librarians who govern your canon and the Cognitive Designers who design and connect it, then hand the governance to your team. We’ll also help your CIO become a Chief Intelligence Officer, as information becomes active intelligence.

03

Your Inverted Stack

Most enterprise AI puts the model at the top of the tech stack and your knowledge underneath. We invert it. Your knowledge sits on top, and the model is interchangeable — Claude, GPT, Gemini, Copilot, or one hosted in your own environment. Plug in the AI you already run, wired into your stack.

04

Your Security Harness

Your knowledge sits in a container the model reaches through governed retrieval. Your AI asks by address, and Starling returns only what each person may read, under your provider’s no-training, bounded-retention terms.

We architect and secure your knowledge on your infrastructure or ours.

Where it runs

Your infrastructure, or ours. Your Library either way.

Work done in Starling itself is assembled before the model is called, so the model is handed only what the query needs. Work done through your own AI is governed by your provider’s terms, with Starling choosing what it reads.

In your own AWS

Your Nest, the encrypted repository that holds your Org Library, runs under license in your cloud. Only you hold the key. Starling’s working copies of your library, including document text, are held as your Enterprise agreement sets out.

Managed on Starling MX

Your repository is encrypted under a key we manage and backed up in escrow, and you can export it as an archive encrypted with a passphrase you set.

Wherever your teams are

One governed memory, every desk in your company.

Your people already work across platforms, time zones, and models. Give them all the same institutional truth to reason from.