The world's first business superintelligence

Decide better. Decide faster.
Catch what humans can't.

Starmynd.

AI is powerful. But AI without your accurate, well-structured business data can never reach its potential. AI plus your business data equals superpowers for you and your team.

Two kinds of data, four ways in

AI becomes business superintelligence only when you feed it clean, well-structured data.

Your AI needs two kinds of data. Qualitative data is your internal docs, agent prompts, skills, workflows, processes, and knowledge bases. Quantitative data is your analytics, ad spend, ecommerce transactions, traffic, customer details, and every KPI at every granularity.

Give it both and your AI becomes dramatically more useful to you and your team. We deliver both.

Quantitative data

StarMynd ABI

StarMynd connects all your business data into one world data model built to work with your AI.

Founding access

Get on the founding list

One world data model that unifies every source your AI needs, built to plug straight into your tools.

$895/monthPrivate beta, founding pricing

Qualitative data

Infinite Brain OS

Our open-source Infinite Brain OS repo stores and structures the qualitative data your AI needs to run properly.

Free

Do it yourself

Use the open-source repo yourself.

$0

Skool

Learn the systems

Learn to build these systems yourself.

$49/month

Architect

Done for you

Hire Andrew or Mats as your team's AI architect to build it for you, in a CTO-approved way.

$5,000 setupplus $5,000/month per department

Who we serve

The marketing leader managing three audiences at once.

Most AI vendors solve for the board mandate only. We solve for the board, the team, and the CTO peer at the same time. That is the wedge.

01
Above

Board and CEO

They want measurable AI deployment by Q3. They want the story reportable. They want to see the wins.

We deploy fast. We make the wins visible. We help you present them to the board.
02
Below

Team

They are already overloaded. They do not want more tools to learn. They want to look smart and ship more.

We onboard 1-on-1. They own the workflow. They present the win as theirs.
03
Lateral

CTO peer

They want architecture they can sign off on. They want isolation. They want a vendor who will not break their systems.

4-approval CTO doc. Isolated GCP project. Read-only by default. Countersigned at engagement start.

Solve for one audience and the other two break the engagement. Solve for all three and the engagement compounds.

The Failure Rate Nobody Quotes

95% of AI projects fail. We build the way the 5% succeed.

Most AI vendors pretend the failure rate does not exist. We name it, and these patterns are the receipts. Every habit that sinks the 95% maps to a habit that protects the 5%.

Category 01

You stay in control

You can report a system you own, inspect, and walk away from at any time, so a vendor never traps you and the board never finds a black box on your watch.

  • The 95%Proprietary architecture they own The 5%Architecture lives on your GitHub
  • The 95%Shared client data pooled together The 5%Isolated per company GCP projects
  • The 95%Black box deliverable The 5%Source of truth in your repo, inspectable
  • The 95%No migration path The 5%Easy to take in house when you are ready
Category 02

It outlives any tool or model

Because the work is open and built around your problem rather than a vendor's product, you are never the leader who bet the budget on the wrong horse when the model or the tool changes.

  • The 95%Vendor lock in The 5%Open source, tool swappable, model agnostic
  • The 95%Pre built solutions looking for a fit The 5%Problem first design
Category 03

Your team becomes the hero

Your overloaded team gets leverage instead of another dependency, and your CTO peer keeps the safe defaults they expect, so the win lands inside your organization rather than with an outside consultant.

  • The 95%The consultant is the hero The 5%Your team is the hero
  • The 95%Read and write access by default The 5%Read only by default, explicit before write

Principles

The principles in code

Three themes. Nine principles. The repo is the architecture.

Every commit is a decision aligned with these. The Architect engagements ship these. The Infinite Brain OS repo proves them.

Theme 01

You own everything.

Alignment via ownership. The repo lives on your GitHub, your data lives in your GCP project, your team can take over at any point.

  • 1.1

    GitHub is the source of truth.

    Code, prompts, agent definitions, canons all in git. Every change auditable. Every decision in history.

  • 1.2

    Isolated GCP project per company.

    Quantitative data in BigQuery, secrets in Secret Manager, all inside an isolated project. No comingling.

  • 1.3

    Self-maintain whenever you want.

    Source in your repo, numbers in your project, tools open-source. Migration is mechanical, not architectural.

Theme 02

It is portable forever.

Alignment via no lock-in. The architecture survives the next 10 years of AI shifts because it was designed to.

  • 2.1

    Open-source integration.

    Built on GitHub, Claude Code, Codex, Paperclip, N8N, BigQuery, Secret Manager. Fork, self-host, migrate.

  • 2.2

    Tool-swappable.

    Each tool can be swapped for current or future industry standards without rewriting the rest of the stack.

  • 2.3

    Model-agnostic.

    No coupling to one AI model. Swap the model layer week to week as the frontier shifts.

Theme 03

We empower, never replace.

Alignment via user power. The repo makes your team AI-superhuman. It does not make them dependent on us.

  • 3.1

    Default headless.

    Empower the AI super-apps your team already uses. Ship results, not screens.

  • 3.2

    Problem-first design.

    Listen to your team. Design to their actual problem. Show before you build. No pre-built solutions looking for a fit.

  • 3.3

    Your team is the hero.

    1-on-1 training. They own the final project. They present the win as theirs.

The cognitive shift

The cognitive shift

Superpowers mean one inversion most people have not made.

Most knowledge workers still treat AI as the consultant in chat while they stay the doer. Power users invert it. They become the consultant. AI becomes the doer.

Output Time Bounded Compounding The inversion

Before the inversion

Where most knowledge workers are stuck today

  • AI is the consultant. You ask Claude or ChatGPT for advice in chat.
  • You are the doer. You execute the work yourself based on the advice.
  • AI suggests. You do.
  • Output is bounded by how fast you can type and click.

After the inversion

What becoming a power user actually means

  • You are the consultant. You set strategy. You decide what gets done.
  • AI is the doer and the super-consultant. It executes the work.
  • AI does. You command.
  • Output compounds. The four StarMynd tiers exist to help you make the shift.
FAQ

Questions, answered plainly.

Pulled from the conversations Andrew has on calls and in messages every week.

How are you different from other AI agencies and consultants?

We respond fast. We price transparently. We cap engagements at three at a time, so we have real capacity for the relationship. We ship in two weeks, and your team owns the result.

Most AI projects fail because the vendor optimizes for lock-in. We optimize for your ownership.

Is the Infinite Brain OS repo really free?

Yes. It is MIT-licensed and public on GitHub at github.com/starmynd-org/infinite-brain-os. Free means free: $0, no seat caps, no trial clock. It is the canonical implementation of the Infinite Entry spec, and the same architecture pattern that powers paid Architect engagements.

Why are there four tiers?

Four depths of the same system. The free Infinite Brain OS repo shows you the pattern in code at $0. Skool teaches you to be the power user at $49 a month. StarMynd ABI delivers the AI-ready data at $895 a month. Architect builds the workflows on top with your team. Enter at any depth and expand over time.

What is Infinite Entry?

The quantitative spec for AI-era business intelligence: a model-agnostic framework for decomposing business outcomes into auditable, structured data that any AI agent can reason over. Andrew Warner authored it, and the Infinite Brain OS repo is its canonical reference implementation.

Do I need to talk to my CTO first?

No, the diagnostic call is free and you can run it solo. The architecture is built for CTO sign-off from day one: GitHub as the source of truth, an isolated GCP project, and read-only access by default. When your CTO does look, it holds up to scrutiny.

What is StarMynd ABI versus Architect?

StarMynd ABI is the AI-ready data foundation: $895 a month, currently in private beta at founding pricing. Architect is the team-of-two service that builds the AI workflows on top of it: $5,000 setup plus $5,000 a month per department.

Most Architect engagements include ABI underneath.

See What Starmynd Sees in your business data.

A free 90-minute Calendly call with Andrew. We name the actual problem your team is solving this quarter and propose the AI architecture shape that solves it. You leave with a one-pager you can take to your CTO and your CEO.

The Friday recap

One Friday email. Patterns from the week.

What Andrew is seeing inside paying client engagements this week. No funnels, no upsells.