inkloom README

The project's README from github.com/Inkloom-art/inkloom. As one markdown file: README.md.

Inkloom

Specialised AI models for logo design.

inkloom.art

What we are building

A logo is not a picture. It is a constructed object with rules: a mark that holds at sixteen pixels and on the side of a building, letterforms spaced by eye rather than by metric, clear space derived from the mark's own geometry, and lockups that still read when one of them is all you have room for.

General image models do not work this way. They produce something logo-shaped — a plausible arrangement of marks with no construction behind it, no reasoning about the business, and nothing you can hand to a printer or a sign maker.

Inkloom is building models that construct a mark the way a studio does, as a sequence of decisions that can each be explained:

Stage What it produces
Brand analysis Turns a description of a business — sector, audience, tone, competitors — into concrete constraints: stroke weight, width, geometry, counter shape, which symbol families fit
Typography Selects and fits letterforms against those constraints, then does the work that makes a wordmark: optical spacing, kerning at display size, a custom ligature where the name needs one
Symbol construction Composes geometric primitives under construction rules — shared radii, tangent junctions, consistent terminals — so the result is built rather than sampled
Composition Optical alignment rather than mathematical centring, clear-space ratios taken from the mark itself, and the lockup variants a brand actually needs

The output is meant to be a specification, not a bitmap: a mark you can describe, defend and reproduce.

Where we are

Early access is open at inkloom.art. Create an account, redeem a code, and credits are reserved against your account.

Generation is not live yet. We would rather say that plainly than imply otherwise: every page in the product says so, credits are described as reserved rather than spendable, and the feature flags that would switch generation on default to off and are not togglable from the console — because enabling a flag whose feature does not exist exposes a broken surface rather than a feature.

What runs today is the platform the models will ship on. Accounts and authentication, the credit ledger, the access-code system, the operations console, and the machinery around them: backups that are restore-tested rather than merely taken, an alerting pair where each half watches what the other cannot see, and a deployment path that refuses to migrate a database whose identity has not been confirmed.

What comes next

Generation itself, then the things that only make sense once it exists: export in the formats a designer and a printer each need, brand kits, revision history on a mark, and paid plans. None of it is claimed as present until it is.

About this repository

This source is published so the engineering can be read and audited — in particular the security and data-handling claims we make. It is not a distribution: see LICENCE.

Found a security issue? SECURITY.md says where to send it and what to expect. Please do not open a public issue.

Operational documentation — deployment, incident response, environment and runbooks — is kept internal. Source comments occasionally point at it by filename; that is a reference for the people who run the service, not a broken link. It describes how the service is operated, which is of no use to a reader and of some use to an attacker.

Built on Cloudflare Workers, Postgres and React Router, with the application and its API served from one origin — which is what makes the session cookie first-party and removes cross-origin handling entirely.

The test suite runs against a real database, a real browser and a real mail server rather than mocks of any of them, because the guarantees that matter here are transaction guarantees and a mock cannot have one. The test that matters most fires twenty-five simultaneous redemptions of a single code at a real database and asserts that exactly one redemption, one ledger entry and one balance exist afterwards.

Contact
General [email protected]
Security [email protected] — please read SECURITY.md first

Copyright © Inkloom. All rights reserved.

inkloom (Inkloom-art/inkloom)

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1.8K ·GitHub
Inkloom
What is this?Inkloom builds specialised AI models that design logos as a sequence of explainable stages — brand analysis, typography, symbol construction and composition — rather than generating a single image.
Is this like a typical AI image generator?No — general image models just produce a plausible logo-shaped picture with no construction logic behind it, while Inkloom's pipeline builds a mark through reasoned stages you could hand to a printer.
How do I start using Inkloom?Go to inkloom.art, create an account, and redeem an access code; credits get reserved against your account once you do.
Do I need an invite code to get in?Yes, the product is in early access and requires an access code to redeem before credits are reserved to your account.
Can I actually generate a logo with it today?Not yet — generation is explicitly not live, every page in the product says so, and the generation feature flag defaults to off and can't be toggled from the console.
How does the platform handle account data and sessions?The app and its API are served from a single Cloudflare Workers origin backed by Postgres, which keeps the session cookie first-party with no cross-origin handling, and redemption logic is load-tested against a real database for correctness.
Can I self-host this or fork it as open source?No — the source is published only so the engineering and security claims can be audited, it is explicitly not a distribution, and the copyright is all-rights-reserved.
What's the difference between Inkloom's approach and a one-shot AI image generator?Inkloom breaks a logo into a brand-analysis model that sets constraints (stroke weight, geometry, symbol family), typography and symbol models that build within those constraints, and a composition engine that handles optical alignment and clear-space rules — producing a defensible specification rather than a bitmap.
How rigorously is the platform tested before generation even ships?The test suite runs against a real database, real browser and real mail server instead of mocks; its key test fires twenty-five simultaneous redemptions of a single access code and verifies exactly one redemption, ledger entry and balance result.
What features are planned after generation goes live?Export formats for designers and printers, brand kits, revision history on a mark, and paid plans — none of which are claimed to exist yet.
What are similar projects?react-starter-kit, ip-as-logo-skill, clevis, logo-design-skill, open-saas, terraink, simple-icons, printfilm
Which topics is it in?branding, design-systems, security-audit, creative-tools, cloudflare-workers, typography, saas, design, authentication, artificial-intelligence, testing, postgresql
Creator
Inkloom-art
Size
3.7 MB
Stars
1.8K
Updated
CommitSep 26
Age
27d
Commits · 90 Days