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A software foundry

Businesses built. Code shipped. Founders backed.

A software foundry

Majestic Labs is a foundry for operator-built software: AI systems put to work in real businesses, tools released in the open, and founders backed early.

  1. Businesses built.

    AI systems put to work in real businesses. Diagnostic first, never AI theater.

  2. Code shipped.

    Working code, released in the open, on GitHub.

  3. Founders backed.

    Early backing for operator-founders. Positioning, not a pipeline.

01

Majestic AI

Consulting for operators: messy workflows become agent-ready systems. Diagnostic first, never AI theater.

→ /ai02

Open Source

Ruby gems, AI plugins & skills, and LocalVoice. Working code, in the open, on GitHub.

→ /open-source03

Advisory & Investments

Early backing for operator-founders. Positioning, not a pipeline. The story lives on the about page.

→ /about
Writing
View all writing
01

Build a Failure-to-Control Map before you automate

David Paluy

Trace the handoffs your team keeps rescuing, match each failure to a testable control, and check whether it reduces rework without adding more review overhead.

Read article 02

Faster Git worktree setup without breaking branch isolation

David Paluy

Git worktrees stay isolated while shared uv, Bundler, Cargo, and sccache caches cut repeated package downloads and compiler work across parallel branches.

Read article 03

writing-eval: Local Quality Control for AI Writing

David Paluy

Learn to install writing-eval, build private style profiles, read its reports, and add deterministic local writing checks to agent and CI review workflows.

Read article