Contact

Request access.

Inkcharm is rolling out through a waitlist. Tell us about your systems and what you'd point it at first, and we'll be in touch from a real person, not a sequence.

Talk to Inkcharm

Questions about fit, your stack, or how the model plugs into the tools and agents you already run? Reach us directly.

Office
793 Terrace 49
Los Angeles, CA 90042
Company
INKCHARM, LLC

We'll only use these details to talk with you about access. No newsletters, no noise.

What happens next

Once your request lands, here's what to expect. No demos you didn't ask for, no surprise sales motion.

Within a few days
A reply from a person who read what you wrote.
Then
A short conversation about your systems and where the model helps first.
When you're ready
Access, pointed at the codebase you chose.

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Please choose the closest role.

Tell us a little about what you'd use it for.

By requesting access you agree we may contact you about Inkcharm. That's it.

You're on the list.

Thanks, we've got your request. We'll reach out from hello@myinkcharm.com to talk about getting your systems modeled.

Email us directly

Common questions

Before you write in.

The questions most teams ask first, answered plainly.

How does access work right now?

Through the waitlist on this page. We work with a small number of teams at a time so each rollout gets real attention, and we prioritize by fit: system complexity, team size, and how clearly the first use case is defined.

What do you need from us to get started?

Read access to the repositories you want modeled, and a conversation about which system to start with. There's no restructuring, no annotation work, and no documentation project required on your side.

Does our code stay private?

Yes. Your source and the model derived from it belong to your organization. The model is never shared across customers, and it is never used to serve anyone but you.

What makes a good first system?

The one your team hesitates to touch. Legacy services ahead of a migration, a repository new hires get lost in, or the codebase your AI agents struggle with most. The harder the system is to hold in one head, the faster the model proves itself.