Argos CI
Argos is a visual testing platform that catches visual regressions and helps teams and AI agents maintain high product quality by reviewing every UI change.
At a Glance
- Software engineering teams
- Frontend developers
- QA and Testing teams
- Companies using AI agents for development
AI Tools by Argos CI
(1)Argos
Open Source Visual Testing Platform
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Products & Services
The core visual testing platform that automates screenshot comparison and review workflows in CI.
Hosting service for static builds like Storybook, providing shareable preview URLs for pull requests.
Market Position
Argos differentiates itself through cost-effectiveness (deterministic diffing vs. expensive AI diffing) and a focus on eliminating flakiness at the source rather than masking it. It positions itself as the testing layer for the AI-driven development era.
Leadership
Founders
Greg Bergé
Co-founder and CEO of Argos. A prominent open-source developer, teacher, and speaker. Previously founded Smooth Code SAS and is a Product Engineer at GitBook.
Jeremy Sfez
Co-founder and Head of Success at Argos. Previously with Smooth Code SAS.
Olivier Tassinari
Co-founder of Argos. Also the CEO and co-founder of MUI (formerly Material-UI), a major React component library.
Executive Team
Greg Bergé
Co-founder and CEO
Open-source maintainer and product engineer.
Jeremy Sfez
Co-founder and Head of Success
SaaS growth and customer success specialist.
Founding Story
Argos was founded to provide a developer-centric, deterministic visual testing tool that eliminates flakiness and scales with modern CI/CD pipelines. It was built by engineers for engineers who value product quality and shipping speed.
Business Model
Revenue Model
Usage-based subscription (SaaS) with pricing based on the number of screenshots processed.
Pricing Tiers
Up to 5,000 screenshots, visual/snapshot testing for any file, community support.
Includes 35,000 screenshots ($0.004 extra), team collaboration, Slack/Teams notifications.
SAML SSO, GitHub SSO ($50/mo), custom volume, and dedicated support.
Target Markets
- Software engineering teams
- Frontend developers
- QA and Testing teams
- Companies using AI agents for development
- Visual regression testing
- E2E test failure debugging
- Reviewing UI changes from AI agents
- Storybook and static site deployments
- Meta
- ClickHouse
- GitBook
- MUI