--- title: 'CodeRabbit — company profile' canonical: 'https://feeny.ai/companies/coderabbit' type: 'company' updated: '2026-07-02' --- # CodeRabbit > AI-powered code review that posts line-by-line feedback, summaries, and suggested fixes on every pull request. - **Website:** https://www.coderabbit.ai/ - **Type:** Private (Series B) - **Headquarters:** San Francisco, CA, United States - **Founded:** 2023 - **Founders:** Harjot Gill - **Valuation:** $550M (Series B, September 2025) - **Total raised:** ~$88M - **Latest round:** $60M Series B (September 2025), $550M valuation - **Investors:** Scale Venture Partners, NVentures (NVIDIA), CRV, Harmony Partners, Flex Capital, Engineering Capital, Pelion Venture Partners - **Business model:** Product-led SaaS: free public-repo reviews and a 14-day trial funnel into paid per-seat plans (charged only for developers who open PRs) and enterprise contracts, with usage-based pricing for the newer agent products. - **Industries:** Artificial Intelligence - **Open roles:** 66 - **Profile:** https://feeny.ai/companies/coderabbit ## What they do CodeRabbit is an AI-powered code review platform that automates the first pass of code review, posting line-by-line feedback, summaries, and suggested fixes on pull requests and inside the IDE and CLI. ## Overview **The AI reviewer betting that vibe-coded software still needs a gatekeeper** CodeRabbit started from a contrarian read of the AI coding boom: if machines are writing more of the code, someone still has to check it, and humans reviewing AI output one PR at a time won't scale. So the company built an AI reviewer to sit at the merge gate, read every pull request, and hand the human back the final 10 percent. Harjot Gill founded it in early 2023, and adoption moved fast. It now claims more than 15,000 customers and reviews across roughly 6 million repositories, and it raised a $60M Series B in September 2025 at a $550M valuation. The pitch for what comes next is blunt: as "vibe coding" floods teams with generated code, CodeRabbit wants to be the quality gate that keeps velocity from turning into a bug backlog. ## What They Do **An AI agent that does the first pass of code review, everywhere you work** CodeRabbit automates the first pass of code review. It plugs into your git platform, reads each pull request in context, and posts line-by-line feedback, code suggestions, a plain-language summary of the diff, and even an architectural walkthrough diagram, then a human takes it from there. What sets the pitch apart is where it runs. Instead of living only on the PR, CodeRabbit also reviews inside your IDE and from the CLI, so it can flag problems before a pull request even exists. It pairs its own model reasoning with 40-plus linters and security scanners, and filters the false positives it can so the signal isn't buried in noise. ## Problems **When everyone ships fast with AI, review becomes the bottleneck** The problem CodeRabbit chases is the one AI coding tools created. Teams generate code faster than ever, but every line still has to be reviewed, and a senior engineer reading diffs by hand is now the slow step. Review quality also swings with whoever happens to be on the PR that day. CodeRabbit's answer is to make the reviewer consistent and always on. It does the tedious, easy-to-miss work, catches edge cases people skim past, and holds the same bar for every merge, so review stops being the thing that gates a release. ### Problems addressed - AI-assisted teams generate code faster than humans can review it, making review the bottleneck - Review quality is inconsistent and depends on whoever happens to review the PR - Bugs and edge cases slip through manual reviews under time pressure - Reviewing code only at the PR stage catches problems too late ## Who It's For **For engineering teams that move fast with AI but still refuse to break things** The core user is a developer or engineering team that has leaned into AI-assisted coding and now feels the review crunch. CodeRabbit sells to everyone from solo open-source maintainers up through enterprise platform teams, and it courts individual developers with a free tier and public repos before landing inside larger orgs. It speaks to two audiences at once: the engineers who want a sharper reviewer in their existing Git and IDE workflow, and the eng leaders who want a uniform quality bar and pre-merge guardrails across every team. Public open-source projects get reviews free, which doubles as a top-of-funnel for the paid plans. ### Ideal customer profiles - **Software engineer** — Wants a sharper reviewer inside the existing Git/IDE workflow; Needs edge cases and bugs caught before merge without leaving the editor - **Engineering leader (EM / VP Eng / CTO)** — Wants a uniform quality bar across every team; Needs pre-merge guardrails as AI-generated code volume grows ## Products **One reviewer that follows the code from IDE to CLI to pull request** CodeRabbit is really one AI reviewer exposed at several points in the workflow. It began at the pull request, then pushed earlier into the IDE and the command line so it can catch issues before code is even proposed, and later added an autonomous agent that can plan work, open PRs, and answer questions in Slack. The common thread is context. Whether it's reviewing a diff or running an agent task, it leans on a codegraph, linked issues from Jira and Linear, MCP connections, and web queries to understand how a change ripples across files. ## Business Model **Free for open source, per-seat for teams, usage-based for the agent** CodeRabbit runs a classic product-led model: get developers hooked through free public-repo reviews and a 14-day trial, then convert teams to paid per-seat plans and, eventually, enterprise contracts. Seats are only charged for developers who actually open pull requests, and there's no cap on reviews or repositories on any plan. The newer agent products break the seat model. The Slack agent bills purely on usage at $0.50 per active agent-minute, and a usage-based add-on covers unlimited CLI and PR reviews, a nod to how much of the work is shifting to autonomous, always-running loops. ### Plans Every paid plan is priced per seat and billed only for developers who open pull requests, with a 14-day free trial and no cap on reviews or repositories. A perpetual free tier gives PR summaries and IDE/CLI reviews plus unlimited public repos. The newer agent products break the seat model: a usage-based add-on covers unlimited CLI and PR reviews, and the Slack agent bills purely on active runtime. - **Free** — $0 · Individual developers and open-source projects Free reviews forever on public repos - Unlimited public and private repositories - PR summarization - Reviews in IDE/CLI - Includes a 14-day free trial of Pro Plus, no credit card - **Pro** — $24/user/mo (billed annually) · Teams wanting full PR reviews and insights Comprehensive PR reviews and insights - Linters and SAST tools support - Jira & Linear integrations - Agentic chat with CodeRabbit - Product analytics dashboards - Docstring generation and autofix - Built-in pre-merge checks - 5 MCP connections - **Pro Plus** — $48/user/mo (billed annually) · Teams needing custom checks and higher limits Everything in Pro plus custom checks and higher limits - All Pro features - Custom pre-merge checks (up to 20) - Finishing touches: unit-test generation, simplify, merge-conflict resolution - Issue planner - 15 MCP connections - 10 linked repository analyses - **Enterprise** — Custom · Large organizations needing security and control Centralized guardrails, security, and dedicated support - All Pro Plus features - Custom RBAC, SSO, and audit logging - API access - Self-hosting option - Multi-org support - SLA support and dedicated CSM - EU SaaS deployment - Pay via Claude/AWS/GCP marketplace - **CodeRabbit Agent for Slack** — $0.50 per agent minute · Teams automating incidents, tasks, and reporting Pay only for active agent runtime - Investigate incidents and troubleshoot tickets - Automate recurring tasks and respond to alerts - Plan features and break down work - Generate code and open pull requests Good to know: 14-day free trial on all plans, no credit card required; Billed only for developers who open pull requests; seats are reassignable; No limit on the number of PRs reviewed or repositories on any plan; Annual billing saves ~20% versus monthly; SSO, audit logging, self-hosting, and API access are gated to Enterprise; Usage-based add-on available for unlimited CLI and PR reviews ## Competition **Betting on breadth of context and every-surface coverage against a crowded field** AI code review is a crowded, fast-moving category, and CodeRabbit competes with a wave of newer reviewers as well as the review features baked into GitHub and other platforms. Independent benchmarks are mixed: reviewers praise how much it catches, but it also lands near the top on noise, and its own answer is heavy customization to tune the chatter down. Its stated edges are the breadth of context it pulls in, an agent that improves from your feedback over time, and the fact that it reviews in the IDE, the CLI, and the PR, not just one of them. It's also the rare tool that supports GitHub, GitLab, Bitbucket, and Azure DevOps. ### Their edge - **Reviews on every surface** — The reviewer runs in the PR, the IDE, and the CLI, catching issues before a pull request exists rather than only at merge. - **Broadest platform coverage** — Supports GitHub, GitLab, Bitbucket, and Azure DevOps, wider than most rivals. - **Context depth** — Pulls in a codegraph, linked Jira/Linear issues, MCP connections, and web queries to understand cross-file impact. - **Learns from you** — Takes natural-language feedback to form Learnings that shape future reviews, plus path/AST-based instructions. ### Where they're betting - Pushing review earlier via IDE and CLI - Expanding pre-merge checks and finishing touches - Autonomous agents (Slack agent, issue planner) - Layering enterprise sales on the PLG funnel ## Proof **Six million repos, NVIDIA as a customer, and a viral Jensen Huang quote** CodeRabbit's traction is its loudest argument. It puts more than 15,000 customers on the board, reviews across roughly 6 million repositories, and points to millions of pull requests processed and tens of millions of defects surfaced. The logos back it up. NVIDIA, Indeed, Adyen, eToro, Life360, Groupon, Trivago, Swiggy, Chegg, and Mercury all appear as customers, and the company likes to quote NVIDIA CEO Jensen Huang saying his teams use CodeRabbit "all over NVIDIA." One case study claims Groupon cut its review-to-production time from 86 hours to 39 minutes. ## What People Say **Loved for how much it catches, knocked for how much it says** Developers who like CodeRabbit tend to like it a lot. The recurring praise is thoroughness: it catches real bugs and edge cases other tools miss, the PR summaries and diagrams are genuinely useful, and it works across more Git platforms than anyone else. The recurring complaint is the flip side of that thoroughness. Across Reddit, HN, and review sites, users call it verbose and nitpicky, and some say the noise can outweigh the value until you invest time tuning it. It also occasionally misreads codebase context and flags patterns that were already an established convention. The consensus: powerful if you're willing to configure it, frustrating if you expect it to be quiet out of the box. ## Funding **$60M Series B at a $550M valuation, two years in** CodeRabbit raised a $60M Series B in September 2025, led by Scale Venture Partners, at a $550M valuation that roughly doubled the company in a year. The round brought total funding to about $88 million, and Scale's Andy Vitus took a board seat. The cap table leans into the AI-infrastructure story: NVIDIA's venture arm NVentures joined, alongside returning backers CRV, Harmony Partners, Flex Capital, Engineering Capital, and Pelion Venture Partners. CRV had led the $16M Series A in August 2024. ## Compensation **Bay Area engineering pay, plus real upside on the sales side** Disclosed US pay skews high, as you'd expect for a Series B startup hiring in San Francisco. Engineering roles land roughly in the $145K to $280K base range, while go-to-market roles are quoted as on-target earnings that run from around $125K into the mid-$300Ks for enterprise sellers, reflecting large commission components. Most roles include equity, and the company frames it as high-growth upside; sales and go-to-market roles are structured as OTE with commission on top of base. A handful of European and UK roles are posted in EUR and GBP. ## Team & Culture **High-ownership, ship-fast, and they run their own AI on their own code** CodeRabbit describes itself as a fast-paced, high-ownership shop where engineers find problems before they're assigned and own outcomes from proposal to production. Its stated operating philosophy is blunt about the trade-off: bias toward action, ship the smallest coherent slice, and let AI draft while humans decide. It openly warns that the pace is uncomfortable for people who prefer slow consensus. The company hires across engineering, sales, customer success, and support, with a San Francisco base plus offices and roles in Bengaluru, Boston, London, and across EMEA and APAC. Its values run under a set of tags like Collaborative Humans, Fearless Innovators, and Rapid Learners, and engineers use and improve the review product on their own code. ## Security & Legal **SOC 2 Type II, zero retention after review, and a promise not to sell data** Security is central to CodeRabbit's enterprise pitch, since customers are handing it their source code. It advertises end-to-end encryption, zero data retention after a review completes, and independent SOC 2 Type II audits done annually. The legal entity is CodeRabbit, Inc., based in San Francisco. Its privacy policy states the company does not sell personal information, and that its data storage is compliant with SOC 2 Type II, GDPR, and HIPAA. Enterprise customers can also opt for a self-hosted or EU SaaS deployment. ## In the News **A Series B, an NVIDIA nod, and a spot in the Claude Marketplace** The headline event was the September 2025 Series B, widely covered for pushing a two-year-old startup to a $550M valuation as "vibe coding" pushed code-quality worries up the priority list. Since then the company has kept up a steady drumbeat of distribution news, including a May 2026 launch inside Anthropic's Claude Marketplace that lets enterprises spend existing Anthropic commitments on CodeRabbit. Its blog and case studies carry the customer proof points behind the growth story. ### Coverage - [CodeRabbit raises $60M, valuing the 2-year-old AI code review startup at $550M](https://techcrunch.com/2025/09/16/coderabbit-raises-60m-valuing-the-2-year-old-ai-code-review-startup-at-550m/) — TechCrunch (2025-09-16) - [Raising our $60M Series B: Building the quality gates for AI-powered coding](https://www.coderabbit.ai/blog/coderabbit-series-b-60-million-quality-gates-for-code-reviews) — CodeRabbit (2025-09-16) - [CodeRabbit Raises $60M Series B Following Unprecedented Growth as Vibe Coding Triggers a Need for New Code Quality Standards](https://www.businesswire.com/news/home/20250916401011/en/CodeRabbit-Raises-$60M-Series-B-Following-Unprecedented-Growth-as-Vibe-Coding-Triggers-a-Need-for-New-Code-Quality-Standards) — Business Wire (2025-09-16) - [AI code review startup CodeRabbit raises $60M Series B led by Scale Venture Partners](https://www.scalevp.com/press/ai-code-review-startup-coderabbit-raises--60m-series-b-led-by-scale-venture-partners) — Scale Venture Partners (2025-09-16) - [CodeRabbit is now in the Claude Marketplace](https://www.coderabbit.ai/blog/CodeRabbit-in-Claude-Marketplace) — CodeRabbit (2026-05-27) - [CodeRabbit revenue, valuation & funding](https://sacra.com/c/coderabbit/) — Sacra (2025-09-16) ## Outlook **Push review earlier, ride the vibe-coding wave, build the sales motion** CodeRabbit's near-term plan is to keep pushing review earlier in the workflow, deeper into the IDE and CLI and now into autonomous agents, while expanding pre-merge checks and finishing touches so more of the quality work happens before a human ever looks. The bet underneath it is that AI-generated code keeps growing and someone has to gate it. To capture that, the company is layering an enterprise sales motion on top of its product-led funnel, hiring account executives and field engineers across the US, EMEA, and APAC. The open question is whether it can tame the noise complaints and hold its lead as bigger platforms fold review into their own tools. ## Company details - **Mission:** Build AI-augmented quality gates for software, letting humans focus on higher-level reasoning while AI handles the repetitive parts of code review. - **Products:** Pull Request Reviews, IDE & CLI Reviews, CodeRabbit Agent, Pre-merge Checks & Finishing Touches, Issue Planner - **Notable customers:** NVIDIA, Indeed, Adyen, eToro, Life360, Abnormal, Ashby, Blackbaud, Groupon, Trivago, Swiggy, Mastra, Chegg, Mercury, Hasura, Langflow - **Customer segments:** Individual developers, Open-source maintainers, SMB and mid-market engineering teams, Enterprise engineering and platform teams - **Buyers / users:** Software engineers, Engineering managers and VPs of Engineering, Platform and DevOps teams, CTOs - **Competitors:** GitHub Copilot code review, Graphite, Greptile, Qodo, Bito, Cursor / native review features - **What sets them apart:** Reviews everywhere: PR, IDE, and CLI, not just one surface; Broadest platform coverage (GitHub, GitLab, Bitbucket, Azure DevOps); Deep context via codegraph, linked issues, MCP, and web queries; Learns from developer feedback in natural language over time; 40+ integrated linters and scanners with false-positive filtering; Highly customizable via a YAML config for guidelines and workflow - 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