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CodeRabbit

COMPANY PAGE

CodeRabbit

AI code-review platform — the top-installed AI app on the GitHub Marketplace, scaling from approximately $5M ARR in April 2025 to $40M ARR by April 2026 (700%+ year-on-year) on a $60M Series B at a $550M valuation, with 8,000+ paying customers including Chegg, Groupon, Life360 and Mercury and 2M+ repositories connected.

Founded 2023
Series B — $550M
Coding AI
coderabbit.ai

Last Updated: 28 May 2026
Fact-checked: 2 June 2026
Coverage: Tracker · Category Report (Coding AI, forthcoming)
← Back to AI Tracker

The Business

CodeRabbit builds an AI code-review platform that sits inside the pull-request quality-gate primitive on GitHub, GitLab, Bitbucket and Azure DevOps. The product line covers three main surfaces: the AI review pipeline itself (a multi-model agent that reads the pull-request diff, the surrounding codebase context, and the project’s coding conventions, then comments inline on the PR with named issues and suggested fixes), the enterprise tier (with SSO, audit logging, SOC 2 / ISO compliance posture and the configuration depth needed for regulated-customer procurement), and the open-source community programme (100,000+ open-source projects on the platform plus a $600,000 pledged annual contribution to maintainers, disclosed via the company’s blog). The company was founded in 2023 in San Francisco by Harjot Gill (CEO), Guritfaq Singh (COO) and Vishu Kaur (co-founder) and has raised approximately $88M of external capital through the September 2025 $60M Series B at a $550M valuation, led by Scale Venture Partners with NVentures (NVIDIA’s venture arm), CRV, Harmony Partners, Flex Capital, Engineering Capital and Pelion Venture Partners participating.

Customers and Distribution

CodeRabbit serves 8,000+ paying customers with 2M+ repositories connected and 13M+ pull requests processed at the Series B disclosure point, including named references to Chegg, Groupon, Life360 and Mercury. Distribution sits across three channels: the GitHub Marketplace (where CodeRabbit is the top-installed AI app, the principal driver of the community-led funnel and the entry point for most paying customers), the equivalent GitLab, Bitbucket and Azure DevOps integration surfaces, and the direct enterprise sales motion for regulated customers requiring SSO, audit logging and dedicated tenancy. The growth pace from approximately $5M ARR in April 2025 to $40M ARR in April 2026 (700%+ year-on-year per named-press coverage) is the most distinctive commercial signal in the cohort and tracks the broader category shift toward AI code-review as a procurement requirement inside enterprise engineering organisations adopting AI-assisted coding agents.

Model Strategy

CodeRabbit is a Verticals-first play under the IM Framework eight-trajectories taxonomy as it applies to AI code-review: the strategic bet is that vertical depth on the pull-request review primitive — the multi-model review pipeline, the GitHub / GitLab / Bitbucket / Azure DevOps integration surface, the inline-comment quality and the configuration depth for enterprise review conventions — beats both generalist foundation-model assistants and broader developer-tools incumbents at the review-and-merge surface. The review stack routes to Anthropic Claude and OpenAI foundation models on the reasoning layer; CodeRabbit does not operate a frontier model of its own and does not bet the company on a model-quality differentiator at the foundation layer. The competitive position depends on the depth of the review pipeline (the specialised engineering on PR-diff parsing, codebase-context retrieval and inline-comment quality) and on the GitHub Marketplace distribution position that anchors the community funnel. The D4a supplier-diversity sub-rubric was held at 5 in the v1.6 evidence pass on the basis that the multi-model review stack is real but the supplier-vs-rival overlap with Anthropic and OpenAI (which themselves ship first-party coding agents with review capability) is the principal structural exposure.

At A Glance

Annualised revenue
●
2026-04-30 as-of

2024-12-312025-12-31

Customer accounts
8K customers ●
2025-09-16 as-of

Headcount
198 ●
2026-04-30 as-of

2025-06-302026-04-30

Funding to date
$88M
2025-12-31 as-of

2024-12-312025-12-31

The Numbers

Annualised revenue

$30M $2M 2024-12-31 — 2 2025-04-30 — 5 2025-09-30 — 15 2025-12-31 — 30 2024-12-31 2025-12-31

Headcount (FTE)

198 24 2025-06-30 — 24 2025-09-30 — 60 2025-12-31 — 150 2026-04-30 — 198 2025-06-30 2026-04-30

Funding to date

$88M $28M 2024-12-31 — 28 2025-06-30 — 28 2025-09-16 — 88 2025-09-30 — 88 2025-12-31 — 88 2024-12-31 2025-12-31

Leadership Team

Co-founder & CEO
Harjot Gill
Co-founded CodeRabbit in 2023 in San Francisco with Guritfaq ”Gur” Singh and Vishu Kaur. Previously founder and CEO of NetSil (acquired by Nutanix in 2018, where Gill served as a senior engineering leader through 2022). Public-facing for the company across the September 2025 $60M Series B announcement and the broader AI code-review positioning — the named voice on the “quality gates for AI coding” thesis that frames the Series B narrative.

Co-founder & COO
Guritfaq "Gur" Singh
Co-founded CodeRabbit in 2023 with Harjot Gill and Vishu Kaur; serves as Co-founder and Chief Operating Officer. Anchors the operational leg of the company through the growth pace from approximately $5M ARR in April 2025 to $40M ARR in April 2026 and the September 2025 Series B.

Co-founder
Vishu Kaur
Co-founded CodeRabbit in 2023 with Harjot Gill and Guritfaq Singh per Crunchbase founder records. Part of the founding team that took the company from formation through the Engineering Capital seed round and the October 2024 Series A into the September 2025 Series B at $550M.

CodeRabbit is privately held and does not separately disclose a full C-suite. The founder trio (Gill CEO, Singh COO, Kaur co-founder) remains in place through the Series B per Crunchbase and the senior team has expanded primarily on the enterprise GTM and platform-engineering sides. Senior recruiting through 2025 was concentrated on the enterprise sales and customer-success build-out to serve the 8,000+ paying customer base accumulated from the AI code-review category-defining position on the GitHub Marketplace. No CRO, CFO or COO has been separately publicly disclosed.

IM Framework Scoring

IM’s structured assessment of CodeRabbit’s competitive position. The summary below is the headline; expand “Show the full analyst-grade analysis” near the bottom for the per-dimension reasoning and evidence. Methodology →

Competitive Position
Emerging Player
Coding AI sector

The Information Matters Compass

5 7.5 10 5 7.5 10 Defensibility → Disruption Potential →Disruptive Challengers Dominant InnovatorsEmerging Players Established Incumbents CodeRabbit © Information Matters

Strategic Bet
Verticals win — an AI code-review specialist that owns the pull-request quality-gate primitive beats both generalist foundation-model assistants and broader developer-tools incumbents at the review-and-merge surface
Plus: Plus: rewire — AI-generated code is now the majority of net-new code on many repos, and the quality-gate primitive between agent-generated code and the merge button becomes a structural procurement requirement inside enterprise engineering organisations

Watch: Whether the 700%+ year-on-year growth pace prints into 2026 against the GitHub Copilot Code Review and GitHub Advanced Security first-party competition; the cadence of enterprise customer disclosures and the security / compliance maturation against GitHub Enterprise procurement; the foundation-model supplier-and-rival dynamic with Anthropic and OpenAI; and the EU AI Act deployer-obligation regime applied to AI code-review tools used by regulated enterprise development organisations — each can shift the score in either direction inside a quarter.

Funding History

Date Round Raised Post-money Lead investor(s)
Sep 2025 Series B $60M $550M Scale Venture Partners (with NVentures (NVIDIA), CRV, Harmony Partners, Flex Capital, Engineering Capital, Pelion Venture Partners)
Oct 2024 Series A $16M — CRV
2023 Seed $9M — Engineering Capital

Cumulative external capital approximately $88M through the September 2025 $60M Series B at a $550M valuation, led by Scale Venture Partners with NVentures (NVIDIA’s venture arm), CRV, Harmony Partners, Flex Capital, Engineering Capital and Pelion Venture Partners participating. The Series B round positions CodeRabbit as one of the named NVIDIA strategic AI code-review bets alongside the broader NVentures portfolio. Round-by-round figures from CodeRabbit’s own Series B announcement blog (coderabbit.ai/blog) and named-press coverage at SiliconANGLE and StartupHub.

Competitive Landscape

CodeRabbit’s competitive set sits in three concentric rings: the platform-incumbent first-party AI code-review features built into the source-control hosts (GitHub Copilot Code Review inside Microsoft GitHub, GitLab Duo inside GitLab), the symmetric AI code-review startups (Greptile, Qodo) and the adjacent AI coding assistants flanking from the review surface (Sourcegraph Cody, Codium, Cursor’s review surface). The defining structural competitive risk is GitHub itself building first-party AI code-review into Copilot and Advanced Security — CodeRabbit’s position as the top-installed AI app on the GitHub Marketplace is real and growing, but the marketplace distribution can be compressed by first-party Microsoft bundling at any procurement cycle.

Competitor Positioning Distribution edge Threat profile
GitHub Copilot Code Review
(Microsoft (NASDAQ: MSFT))
The first-party AI code-review feature built into GitHub Copilot and GitHub Advanced Security — the closest direct competitive substitution, with structural distribution through the GitHub installed base and bundled procurement inside Microsoft 365 / GitHub Enterprise. GitHub repository footprint, Copilot Business / Enterprise subscriptions, GitHub Enterprise Server, GitHub Advanced Security bundle. High — channel control through GitHub is structural and the bundled procurement makes Copilot the default option for every enterprise that already buys GitHub Enterprise; the principal head-to-head where AI code-review budgets sit inside existing GitHub procurement.
Greptile AI code-review and codebase-context startup with overlapping positioning on the pull-request review surface; the closest pure-play startup mirror of CodeRabbit at the AI-review primitive. Direct self-serve and developer-direct sales; GitHub / GitLab integration as the primary distribution surface. Medium-High — structurally symmetric pure-play; smaller installed base than CodeRabbit but credible flanking risk on the same primitive.
Qodo (formerly CodiumAI) AI testing and code-review platform with a test-generation heritage; positioned alongside CodeRabbit on the quality-gate surface but with a stronger test-generation lean than pure code-review. Direct self-serve plus enterprise channel; IDE plugin distribution for VS Code and JetBrains. Medium — adjacent on the quality-gate primitive with test-generation as the differentiator; broader product surface than CodeRabbit but less specialised on the pull-request review motion.
GitLab Duo
(GitLab (NASDAQ: GTLB))
GitLab’s first-party AI code-review and DevSecOps assistant — the GitLab-side analog of GitHub Copilot Code Review, with deep integration into the GitLab DevSecOps platform. GitLab Premium / Ultimate subscriptions; bundled procurement inside the GitLab DevSecOps platform. Medium — channel control on GitLab repos parallels the GitHub Copilot dynamic; narrower than GitHub Copilot in absolute installed base.
Sourcegraph Cody AI coding assistant with codebase-context retrieval as the differentiator — broader than pure code-review but flanking on the review surface where Sourcegraph’s enterprise customer base sits. Direct enterprise sales; Sourcegraph code-intelligence platform as the distribution backbone. Medium — less direct on the AI-review primitive but credible flanking play where the Sourcegraph enterprise channel is already procured.

Pricing benchmark: CodeRabbit publishes consumer Pro and Business tiers and an enterprise tier on contract; pricing tracks per-developer-per-month seat consumption. GitHub Copilot Code Review is bundled into Copilot Business ($19) and Enterprise ($39) tiers; GitLab Duo is bundled into GitLab Premium and Ultimate; Qodo prices on a comparable per-seat model; Sourcegraph Cody on enterprise contract. The competitive frame is therefore depth on the pull-request review primitive plus the multi-model review stack — the GitHub / GitLab / Bitbucket / Azure DevOps integration surface and the speed-to-deployment for review-config inside enterprise engineering organisations — not headline per-seat price alone.

Potential Risks

The case for CodeRabbit at IM Framework 6.74 rests on the fastest growth pace in the AI code-review cohort (approximately $5M ARR in April 2025 to $40M ARR in April 2026), the top-installed AI app position on the GitHub Marketplace, the 8,000+ paying customer base (Chegg, Groupon, Life360, Mercury) and 100,000+ open-source projects on the platform, and the September 2025 $60M Series B at $550M valuation with NVIDIA strategic participation. The case against splits into five risks of differing magnitude — with GitHub first-party substitution the most structural, foundation-model supplier-and-rival concentration the most active, and EU AI Act compliance on regulated-enterprise procurement the most date-certain.

GitHub first-party substitution — Copilot Code Review and Advanced Security

GitHub Copilot Code Review and GitHub Advanced Security are the highest-stakes competitive substitution risk — Microsoft can bundle first-party AI code-review into existing GitHub Enterprise procurement at any pricing cycle and compress the marketplace distribution that anchors CodeRabbit’s current top-installed-AI-app position. The bull case is that CodeRabbit’s specialised review pipeline, multi-model stack and review-quality differentiation give it a head-start that compounds before GitHub Copilot Code Review matures; the bear case is that any sustained Microsoft bundling cycle compresses CodeRabbit’s marketplace share and forces a pure-enterprise-sales motion at materially higher CAC. The D1c portability sub-rubric was held at 6 in the v1.6 evidence pass on that basis.

Foundation-model supplier-and-rival concentration

CodeRabbit’s review stack routes to Anthropic Claude and OpenAI models that simultaneously ship first-party coding agents (Claude Code, OpenAI Codex) with review capability inside those agent surfaces. The D4a supplier-diversity sub-rubric was held at 5 in the v1.6 evidence pass on that basis. The bull case is that AI code-review as a specialised primitive needs deeper review-pipeline engineering than a generalist coding agent provides; the bear case is that any sustained model-quality compression on Claude Code or OpenAI Codex collapses the differentiation that anchors CodeRabbit’s growth pace.

Early enterprise GTM at $40M ARR scale

At $40M ARR with 8,000+ paying customers, CodeRabbit is past the initial product-market-fit threshold and into the enterprise GTM scaling phase. The 700%+ year-on-year growth pace is unusually strong but no CRO or chief customer-success officer has been separately publicly disclosed; the enterprise customer reference base (Chegg, Groupon, Life360, Mercury) is real but is still being built out against GitHub Copilot Code Review’s bundled enterprise procurement. The D4d capital position sub-rubric was held at 9 in the v1.6 evidence pass on the strength of the September 2025 Series B; the open question is whether the enterprise GTM build-out can scale the customer reference base into the Fortune 1000 anchor tier where GitHub Copilot is the default option.

Key-person dependency on the founder team

Harjot Gill (CEO) and Guritfaq Singh (COO) are the principal operating leaders, with Vishu Kaur as third co-founder and the principal public voices on the platform and the Series B narrative. The D4e key-person dependency sub-rubric was held at 5 in the v1.6 evidence pass on that evidence. CFO, CRO and COO appointments have not been separately publicly disclosed. The bull case is founder continuity (the three co-founders remain in seat through the September 2025 Series B) at a company that has gone from $5M ARR to $40M ARR in 12 months; the bear case is that scaling against GitHub Copilot Code Review’s enterprise distribution without a disclosed CRO tier is a known load-bearing risk at $40M+ ARR scale.

Regulatory exposure on AI code-review in regulated industries

AI code-review tools used by regulated enterprise development organisations (financial services, healthcare, defence) carry deployer-side compliance load as the EU AI Act Article 26 obligations come into binding force on August 2 2026 and as the broader regulatory cycle on AI-assisted software development matures. CodeRabbit operates a published security posture and SOC 2 / ISO compliance disclosures at the Series B point per the company’s trust documentation; the active variable is whether the enterprise procurement load can scale alongside the GitHub-Marketplace community funnel that anchors the platform’s growth. The D4c regulatory-exposure sub-rubric was held at 6 in the v1.6 evidence pass.

Recent IM Coverage

  • Coding AI — Sector Page Jun 2026.
  • AI Tracker Methodology — IM Framework v1.6 May 2026.

Show recent press coverage of CodeRabbit
  • Sep 2025 — Raising our $60 million Series B — quality gates for AI coding.
  • Sep 2025 — CodeRabbit gets $60M to fix AI-generated code quality — Series B led by Scale Venture Partners.
  • Sep 2025 — CodeRabbit secures $60M Series B for AI code review growth.
  • Sep 2025 — CodeRabbit: $60 million Series B raised for AI code review platform.
  • 2025 — CodeRabbit’s commitment to open source: $600,000 pledged to maintainers in 2025.

Curated feed of named-source coverage — CodeRabbit’s own Series B announcement blog and named-author SiliconANGLE, StartupHub and Pulse 2.0 coverage. Excludes paywalled article bodies of The Information, WSJ, FT and Bloomberg, PR-wire reposts of the same release and unsourced AI round-up pieces. The CodeRabbit Series B blog post is the canonical reference for the $60M Series B figure, the $550M valuation, the NVentures strategic participation and the customer-base disclosures cited on this page.

Show the source register for the figures on this page

IM operates a primary-source-where-possible discipline. The figures above come from:

  • Revenue: CodeRabbit’s September 2025 Series B announcement disclosed approximately $15M+ ARR at the round close with 10x prior-year revenue growth; named-press coverage in SiliconANGLE triangulates the more recent $40M ARR figure reported in April 2026 (approximately 700%+ year-on-year growth from $5M ARR in April 2025). We reference the company’s own blog as the primary growth-pace disclosure anchor.
  • Usage — repositories and customers: CodeRabbit’s September 2025 Series B announcement and the company’s product page disclose 8,000+ paying customers, 2M+ repositories connected, 13M+ pull requests processed and 100,000+ open-source projects on the platform — the top-installed AI app on the GitHub Marketplace at the Series B disclosure point. Named customer references include Chegg, Groupon, Life360 and Mercury.
  • Headcount (basis-disclosure note): CodeRabbit is private and does not separately disclose precise headcount. Public references through the Series B cycle place the company in the low-hundreds range with continued hiring across the enterprise GTM and review-platform engineering organisations. We reference the CodeRabbit careers page as the canonical entry point and decline-to-publish a precise headcount pending a primary disclosure.
  • Funding to date: Cumulative external capital approximately $88M through the September 2025 $60M Series B at a $550M valuation, led by Scale Venture Partners with NVentures (NVIDIA), CRV, Harmony Partners, Flex Capital, Engineering Capital and Pelion Venture Partners participating. Prior rounds: October 2024 $16M Series A led by CRV; 2023 $9M Seed led by Engineering Capital. Round-by-round figures from CodeRabbit’s own Series B blog and named-press coverage at SiliconANGLE and StartupHub.

Methodology & Disclaimer

For metric definitions, source-tier hierarchy, and decline-to-publish rules, see the tracker methodology. Confidence dots (• green / • amber / • red) follow the same convention as the AI Tracker.

Spotted a figure you believe is wrong? Send corrections to info@informationmatters.net.

Information Matters Framework scores are the considered opinion of the IM team — human and AI — applied to publicly-available evidence under a disclosed methodology. They are not statements of fact about the companies scored and they are not investment advice.

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