Looking for Galileo AI? Here is what happened, and what to use now
Galileo AI was an early, impressive AI UI generator. It is no longer a standalone product. After acquiring Galileo AI in May 2025, Google folded the technology into Google Stitch, a Gemini-powered generator in Google Labs.
So if you came looking for Galileo AI, this page is honest about where it went, and how Figr compares as a different kind of tool: one that designs from your real product, not just a prompt.
What happened to Galileo AI
Galileo AI made its name turning text prompts into UI designs, and it showed early what prompt-to-interface could feel like. Its path then changed.
Google acquired the team in May 2025, and the work was folded into Google Stitch, an experimental, Gemini-powered design generator in Google Labs. In practice, that means Galileo AI is not something you adopt today as a standalone product. The closest current equivalent in that lineage is Stitch.
That is worth stating plainly, because searching for Galileo AI in 2026 mostly leads to a product that no longer stands on its own. The useful question is what to use now, given what you actually need.
If you want the Galileo lineage, look at Google Stitch
If what drew you to Galileo AI was free, fast, prompt-based generation, Google Stitch is the direct descendant, and we compare Figr with it in detail on the Google Stitch page.
That comparison is the right one for the Galileo lineage, since Stitch carries it forward. The rest of this page is about a different question: what to use when you need design grounded in a real product, not generation from a prompt.
What Galileo AI was genuinely good at
Credit where it is due. Galileo AI was a strong early example of turning a prompt into a usable UI quickly, and it helped show the category what was possible. For fast generation of a concept from a description, it was genuinely impressive in its time.
What it was not built to do, and what its successor still does not center, is design within an existing product, with your components, flows, and constraints in view. That gap is the reason a tool like Figr exists.
What Figr is, and the job it is built for
Figr is an AI product designer that starts from your product. It captures your screens, flows, design system, and docs, reasons through the UX, and produces Figma-ready design that fits what you run.
The difference from the Galileo lineage is grounding. Prompt generators start from a sentence. Figr starts from your product, with components, states, and constraints already considered, then hands the result to Figma.
That makes Figr strongest where you are improving a real product and the output has to match what is already there.
A worked example: redesigning a screen in a real product
Take redesigning an onboarding screen in a product that already has a design system.
With a prompt generator in the Galileo or Stitch lineage, you describe the screen and get a clean option fast. It is a good spark. But it is a fresh screen, not your onboarding, so someone matches it to your components and adds the states it skipped, the error path, the empty state, the returning-user case. The generation was quick, and the reconciliation is not.
With Figr, you show it the current product and describe the change. It reasons through the screen and returns design on your system, with the states included, ready to refine in Figma. The win is that the output is your product's design, not a concept to rebuild.
Where each one wins
| The job | Galileo lineage (Stitch) | Figr |
|---|---|---|
| Free, quick generation from a prompt | Yes, via Stitch | Not free, product-grounded |
| Available as a standalone product today | Only as Stitch | Yes |
| Start from your existing product | No | Yes |
| Match your design system | Limited | Yes |
| Reason through edge cases | Limited | Yes |
| Design ready to refine and ship | Concept-level | Figma-ready |
How to choose now
The question is no longer Galileo AI versus anything, since it is not a standalone product. It is whether you want free prompt generation or product-grounded design.
If you want the Galileo lineage, free and fast, use Google Stitch and read that comparison. If you are improving a real product and need design that fits your system and is ready to refine, Figr fits, because it starts from that product.
The signal is simple. If a generated screen's main next step is rebuilding it in your real product, that is the work Figr removes.
What Figr is not
To be fair, Figr is not a free prompt generator, and it is not the Galileo lineage. It is not the lowest-friction way to turn a sentence into a quick concept.
It is built to design within a real product and produce Figma-ready design that fits. If your need is free, quick generation, Google Stitch carries that lineage forward. If your need is product-grounded design, that is where Figr is strongest.
Why Figr designs from the product: the Visual Context Graph
Figr grounds design in your product because it treats product work as visual and contextual, not as a single prompt. That is the Visual Context Graph, which connects five layers:
- Visual: your screens and frames
- Behavioral: recordings and real user flows
- Design system: tokens, components, variants, and rules
- Product knowledge: PRDs, research, and past decisions
- Implementation: the code constraints around the design
A prompt generator starts from none of this. Figr reasons across all five, which is why its output fits your product and is ready to refine. Output moves into Figma as editable layers.
Pricing, briefly
Galileo AI is no longer sold as a standalone product. Its successor, Google Stitch, is currently free in Google Labs, where it has since expanded into a multi-screen design tool. Figr is metered by credits: a free tier, Starter at $39 a month, Max at $149 a month, and custom enterprise. See pricing.
Need product-grounded design, not prompt generation?
If you are improving a real product, Figr produces design that matches your system and is ready to refine.
FAQ
What happened to Galileo AI?
Galileo AI is no longer a standalone product. After a Google acquisition, its technology became Google Stitch, a Gemini-powered generator in Google Labs. Verify the details before relying on them.
Is Figr the same as Galileo AI?
No. Figr is a separate, product-context design tool. Galileo AI was a prompt-based UI generator that became Google Stitch.
What is the closest thing to Galileo AI now?
Google Stitch carries the lineage forward. See the Google Stitch comparison for how Figr compares with it.
What does Figr do that Galileo or Stitch does not?
Figr starts from your existing product, matches your design system, reasons about edge cases, and produces design ready to refine, rather than generating from a prompt.
Should I use Stitch or Figr?
For free, quick exploration, Stitch fits. For product-grounded design on a real product, Figr fits.
Is Galileo AI still free?
Galileo AI is not sold standalone. Its successor Stitch is currently free in Google Labs, though that can change.
Related reading
For more on this space: the best AI design tools, AI wireframe generators, a guide to design systems, and why design is about decisions, not drafts.