AI for the questions you actually wonder about.

Most AI tools answer in walls of text. Reasonable for code, citations, search results — terrible for understanding. The way most people actually get a concept is by seeing it: a flowchart, a timeline, a 3D scene they can spin, a short narrated video.

Galexia is built around that. You ask anything — “how does inflation work?”, “why did the Roman Empire fall?”, “explain how a CPU executes code” — and it picks the right visual format and renders the answer. No hand-prompting visual descriptions, no “please draw me a diagram”. The model decides whether your question is a flowchart, a timeline, a 3D anatomy scene, a side-by-side comparison, or a fully narrated 60-second video, then produces it.

What you can ask

Anything you'd normally type into ChatGPT and end up wishing for a diagram. Curriculum topics (mitosis, the water cycle, supply & demand). Tech you're ramping on (CPU pipelines, OAuth, React vs Vue vs Svelte). History, science, your kid's homework, the news cycle, what a black hole actually does.

Drop in a PDF of your study notes — Galexia reads it, summarizes it, and offers a list of visualizations it could build from each section. One tap renders.

What it is, technically

A multi-model AI app: each request routes to whatever model gives the best result for that visual format. Frontier reasoning models pick the format and write the structure. A fast model handles the rendering of the actual visual. A multimodal model reads your PDFs. Background workers handle long renders (videos, 3D scenes) so you don't wait on a spinner.

We're not a wrapper on one foundation model — we're a coordinated stack of them, each picked for what it's actually good at.