# Squoosh AI

- **Website:** <https://squoosh.ai>
- **Primary alias:** `squoosh.ai`

## Description

Squoosh AI is a platform for simulating how shoppers interact with digital experiences, helping teams evaluate website changes before exposing them to live visitors. Its synthetic customers are modeled using a company’s behavioral data, funnel signals, and site context to reflect relevant buyer segments. Teams can compare page versions with the same modeled shopper panel, then review predicted conversion impact, likely friction points, and reasons shoppers may hesitate or leave. The service supports pre-launch testing for experiences such as ecommerce product pages and checkout flows, as well as SaaS and fintech pricing, onboarding, and landing pages. Squoosh connects with data sources including Shopify, Google Analytics 4, Fullstory, Segment, and Contentsquare. After a simulation, teams can route a preferred variant to tools and workflows such as Vercel, Cloudflare, LaunchDarkly, GitHub, webhooks, Optimizely, VWO, Adobe Target, and AB Tasty for further testing or implementation. Squoosh says its process can deliver a decision in under an hour and reports 85% accuracy against completed live A/B test winners.

## Industries

- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_
- 📊 Business and Consumer Services

## Links

- [linkedin](https://linkedin.com/company/squoosh-ai)

## Logos & icons

- logo _(primary)_ — SVG, PNG — [download](https://cdn.brandfetch.io/id2Nu9Akni/theme/light/logo.svg?c=1bxid64Mup7aczewSAYMX&t=1791258655641)
- icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/id2Nu9Akni/w/100/h/100/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1791258655902)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Cod Gray | #0a0a0a | dark |
| White | #ffffff | light |
| Heliotrope | #a78bfa | accent |

## Fonts

- Arial — asset _(custom)_
- var(--sq-sans — asset _(custom)_

## Imagery

- banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/id2Nu9Akni/w/2256/h/382/idDQ27ZHVx.jpeg?c=1bxid64Mup7aczewSAYMX&t=1791258656075)

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_Source: <https://brandfetch.com/squoosh.ai>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._