GenAI that learns from you

Otig is a premade modeled AI—not trained on the whole internet like ChatGPT or Claude. You buy a stack for code, visuals, language, speech, or agents, connect your data, and set defaults. Otig learns your style from that work plus our baseline.

How it works

Pick a stack on Buy—Code learns from your repos and PR history; Visual from your references and brand rules; Language from your corpus and glossary; Speech from your recordings; Agents from the tools you wire in.

We provide a baseline model and configuration surface. You provide the data that makes output look like your team—not like a million strangers on the web.

After checkout you configure sources, defaults, and guardrails in your dashboard. Otig only reaches what you connect and approve.

Why Otig

Most teams do not need another general model—they need output that matches how they already work. Here is what changes when learning comes from your data, not the open web.

Premade, then yours

Not pre-trained on the open web

Otig ships as a modeled stack for a job—code, visuals, language, speech, agents. It is not “already learned” from the internet. It learns from your inputs plus the baseline and defaults we configure with you.

Style from real work

Repos, not random tutorials

For code, Otig learns from your GitHub history and merged changes—naming, review tone, and patterns your team actually ships. Same idea for images (your references) and language (your glossary and corpus).

Bounded by you

Policies you set

Guardrails, tool allowlists, and approvals stay on your perimeter. Otig does not freelance outside what you connect and permit.

FAQ

Common questions from teams evaluating the platform. Technical depth lives in Documentation.

What is Otig in one sentence?

Premade GenAI stacks that learn from your data and our baseline—not from the whole internet—so output matches how you actually ship code, visuals, and language.

How is this different from ChatGPT or Claude?

General models absorb millions of random patterns from the open web. They add new logic flows, ugly code, and off-brand design. Otig learns from your GitHub repos, your assets, your corpus, and the defaults you configure.

What do I need to provide?

The sources that define your style: repos and PR history for Code, reference frames for Visual, approved copy for Language, recordings for Speech, and tool access for Agents. We ship a baseline; you bring what makes it yours.

Is it a subscription?

No. You buy a stack once, configure it, and use it under the license described at checkout. Add-ons are priced on the Buy page.

Where do we get help?

Use Help for human support. For integration details, start with Documentation.