Introducing sovereign memory

Own what you know. Govern your AI.

Starling MX makes your knowledge, not the model, the compounding asset.

CorvaOrg Library

MA20 · Canon · Persistent Memory Node

Competitive Position

v1.3 · Approved by Marcus Vale

Corva sells workflow software to operations teams at mid-sized logistics firms.

Who we compete with

Claude drafted a change · via MCP

Fleetline is our main competitor and leads on price.

Fleetline has matched our price since September. We lead on time to go live: 19 days against their 60.

DiscardApprove

What your AI reads

Draft held for review. Not served.

“Fleetline is our main competitor and leads on price.”

Claude and ChatGPTMA20 v1.3
  • Zero data retention, by agreement with each provider
  • Your library, in your repository
  • Claude and ChatGPT over MCP
  • No card required

In the press

  • The AI Journal
  • Business Age
  • TechRound
  • Research Live
Read all coverage

The problem

Your AI already speaks for your business. Can you trust what it says?

One query goes to two AIs, AI₁ and AI₂. One answers from a draft and the other from an outdated policy, so they say 30 days and 14 days, and neither answer is approved by anyone. Neither uses the approved document.

You wouldn’t let a new hire speak for the business from whatever they could find. Yet every model and tool your teams use does exactly that.

Our solution

One right answer, traceable to a human.

Starling is for organizations where an AI’s answer has to be right and attributable, from a five-person practice to a regulated enterprise.

Access is granted by folder, file and person.

Our distinction

Documents are what your team produces. Memories are your organization’s sources of truth.

For sixty years, we left memory to our software, as rows in a database, files in a system and, lately, vectors in an index.

On Starling MX, memory is separate from the model, written in plain language as authoritative, addressable and accessible truths for all who are permitted to see it.

Four types of memory

SY04 Artifact StandardsSystem Memory Node
Operating Logic
MA21 Business ModelPersistent Memory Node
Canon
MA50 Customer MasterActive Memory Folder
Projects
CU80 Why Customers StayLearning Memory Node
Patterns

A human reads the names; a machine resolves the addresses.

Two ways to work

Keep your team in its own AI, or bring it to Starling.

One Starling MX subscription, $99 a month with $99 of AI usage included, for your whole team.

The Org Library connected to your own AI and your team’s

Admins on Starling

Your team, in its own AI

Your System Librarians build and govern the Org Library on Starling. Everyone else reads from and writes to it in Claude or ChatGPT.

The Org Library with your team around it

Everyone on Starling

Your team, on Starling

Everyone works with Starling. Approved models are briefed from your Org Library with only what each task needs.

What your team experiences

A chief of staff, working from your Org Library.

Starling operates as your organization’s lead agent. It briefs every person and every other agent with only what they need from your Org Library, and anything they draft comes back for a person to approve. Agents handle the routines, and your people make the calls.

  • Works for everyone, front line to board.

    The CEO and the new hire draft from the same governed memory.

  • Speaks your company’s language.

    Every department’s terms, and the systems they run on.

  • Does the work, in any format.

    Memos, decks, P&Ls, briefings, websites, drafted to your standards.

  • Finds what each task needs, so the model doesn’t search.

    Answers cite the library by address, with conflicts flagged.

Ask me anything, Priya

How it's priced

Context, on an equal footing with capability.

The models provide the capability, and Starling provides the context, assembled from your Org Library. After the first $99 of usage, we split every dollar evenly with the model providers.

Doesn’t that double my AI bill? No. With a complete brief, most work runs well on Basic and Smart models, which cost a fraction of the top tier. Starling recommends the level each task needs, so every call stays lean. One subscription, and your whole team joins.

Anthropic
Basic
Haiku 5.5
Smart
Sonnet 5.5· Default
Smartest
Opus 5.5
OpenAI
Basic
GPT-6 Luna
Smart
GPT-6.1 Sol
Smartest
GPT-6 Astra
Google
Basic
Gemini 3.5 Flash-Lite
Smart
Gemini 3.8 Flash
Smartest
Gemini 3.1 Pro

Shaded rows: where most work runs.

Starling is designed for Zero Data Retention (ZDR) AI interactions. Your Org Library holds your data, so the model doesn’t need to. Zero retention itself comes by agreement with each provider, and some leading models don’t offer it.

Jobs of the future

Every AI-native business needs a library that keeps its expertise when people move on, and people trained to refine it. Starling certifies System Librarians. Our enterprise programs train Cognitive Designers, who build workflows, and help CIOs become Chief Intelligence Officers.

Three roles around the Org Library: the Chief Intelligence Officer, who sets what the organization knows; the System Librarian, who approves organizational truth; and the Cognitive Designer, who builds the workflows.

How you start

Start with what your business already knows.

Codify your foundational memories from your site and documents, or in natural conversation. In a Starling Nest you do the filing, free. On Starling MX, Starling does it.

  1. 01

    Add Starling to your Claude or ChatGPT connectors. Your AI builds your Org Library from the First Fifteen named coordinates, free for up to 50 memories, so you can turn its #MemoryOff.

  2. 02

    Upgrade to Starling MX when you want Starling to do the filing, at $99 a month with $99 of AI usage included, for your whole team. Starling builds the library with you on its proprietary knowledge design framework, briefs every model and keeps the library true.

  3. 03

    Your AI, or Starling, drafts each memory. You save each one, and only what you save reaches your AI.

Onboarding walkthrough

Build your first memory in minutes

Larger organization? We host your repository in your own AWS or Notion, connect it to your existing workflows, and train your team.

Still have a question?