Revix
Revix AI is an AI code reviewer for GitHub, GitLab and Bitbucket Cloud. It reads a repository, derives the rules and conventions the team already follows, and reviews every pull request against those standards with actionable comments and summaries.
At a Glance
- Businesses and professional engineering teams
- Organizations using GitHub, GitLab or Bitbucket Cloud
- Teams shipping AI-assisted code and experiencing review bottlenecks
- Open-source maintainers of public repositories
- +1 more
AI Tools by Revix
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Revix AI
AI Pull Request Reviewer for Git
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Latest News
Revix reviews every pull request against rules from your own repo (public product launch announcement)
AI code review in Slack: targeted direct-message notifications on the Pro plan
Introducing Free AI Code Review for Open Source Projects
Most Pull Requests Are Already Fixed Before a Human Opens Them (200-PR results and learning data)
Products & Services
Repo-aware AI review for GitHub, GitLab and Bitbucket Cloud. Revix analyzes a repository, derives and continually updates rules from the team's code and merged changes, reviews new pull/merge requests, posts intent- and severity-labeled comments, resolves its own threads after fixes, and writes a concise change/risk summary.
Market Position
Revix positions itself as a repo-aware AI code reviewer that learns a team's own standards and keeps them current after merges, rather than behaving like a fixed linter or a diff-only reviewer. Its comparison content names CodeRabbit, Cubic, Greptile and Qodo as alternatives; its differentiators are automatic rule extraction, whole-repository context, low-noise intent/severity-labeled comments, and no CI-minute usage.
Leadership
Founders
Oscar Estudillo Marín
Frontend tech lead and cofounder of Revix AI. His personal site describes him as a cofounder of Revix AI and The Software Company of Barcelona and lists multiple software projects, including Favvy, VPO Scraper, Carely, Imagik, Reemi and TestForDevs.
Oriol Viladrosa Gonfaus (Uri Gonfaus)
Backend and infrastructure tech lead and cofounder of Revix AI. Revix describes him as the developer responsible for turning fast-moving products into reliable systems that scale; his personal site identifies him as Oriol Viladrosa.
Executive Team
Oscar Estudillo Marín
Cofounder and Frontend Tech Lead
Cofounder of Revix AI; his personal site also identifies him as a cofounder of The Software Company of Barcelona and lists several software products and projects.
Oriol Viladrosa Gonfaus (Uri Gonfaus)
Cofounder and Backend & Infrastructure Tech Lead
Cofounder responsible for backend and infrastructure; Revix describes him as building reliable systems that scale.
Founding Story
Oscar Estudillo and Uri Gonfaus met while building side projects alongside their day jobs and later joined the same team. As AI-assisted development increased their output, code review became the bottleneck: important standards lived in senior engineers' heads and existing AI reviewers produced generic, noisy comments. They built a reviewer for their own team that extracted rules from the repository, reduced review time and improved code quality, then turned it into Revix AI.
Business Model
Revenue Model
B2B per-seat subscriptions, billed monthly or annually; enterprise plans are annual contracts billed by invoice. Public repositories receive a free tier, and paid workspaces begin with a 14-day free trial without a credit card.
Pricing Tiers
Always free for public repositories; includes automated PR reviews, repository analysis and rules extraction, conventional comments and email support.
Automated PR reviews and smart descriptions, repository analysis and rules extraction, stack-aware reviews, conventional comments, unlimited repositories and email support.
Everything in Starter plus twice the usage, Slack and Jira integrations, expert rule supervision and suggestions, and priority support.
Annual invoice contract with custom review volume and token limits, granular roles and permissions, custom MSA/DPA, direct engineering support and SOC 2 Type II and ISO 27001 certification.
Target Markets
- Businesses and professional engineering teams
- Organizations using GitHub, GitLab or Bitbucket Cloud
- Teams shipping AI-assisted code and experiencing review bottlenecks
- Open-source maintainers of public repositories
- Teams using Jira for issue tracking and Slack for engineering notifications
- Automated first-pass review of every pull request or merge request
- Maintaining repository-specific standards as teams and codebases evolve
- Helping senior engineers spend less time repeating review comments
- Reviewing AI-generated code at higher PR volumes
- Open-source maintenance and outside-contributor pull requests
- Ticket-aware implementation review using Jira context